Abstract
This study reports variation in safety perceptions in transit environments, based on samples of university students in 18 cities on six continents who responded to an identical 45-question survey (N= 13,323 university students). We explore potential links between students’ fears and sexual victimization and conclude that sexual harassment affects their behavior and mobility. Student mobility was affected by avoidance strategies prompting some transit riders to travel at particular times, on travel routes and settings that are deemed especially risky, or even avoiding using transit completely. Findings highlight the importance of city–country contexts for transit safety.
Keywords: #MeToo! movement, fear of crime, sexual crime, public transportation, university students, gender
Introduction
Sexual harassment and other forms of sexual violence in public spaces are everyday occurrences for women and girls around the world. The fear of sexual victimization may prevent women’s ability to participate in school, work, and public life (UN Women, 2017), limiting their life opportunities. This is particularly true in countries of the Global South where a large percentage of individuals, especially young women, are “transit captives,” having no access to private cars and relying on public transport for their travel needs (Yu & Smith, 2014).
Based on samples of university students in 18 cities around the world, this study examines how their concerns about sexual harassment in transit environments affect their perception of safety. We assess the variation of these students’ safety perceptions, examining how they differ because of their individual characteristics, transit mode, and city–country contexts. Finally, by comparing responses from students in different cities about their safety perceptions and their adoption of precautionary strategies, we seek to better understand whether fear affects these young riders’ mobility. This study is unique because it offers a comparative framework of analysis of the impact of sexual harassment on safety perceptions in transit environments in multiple geographic contexts, including countries in Asia, Europe, Africa, Australia, and North and South America, drawing from the experiences of students in cities of both the Global North and the Global South.
Many empirical studies indicate the occurrence of incidents of sexual harassment in transit environments (e.g., Ball & Wesson, 2017; Gardner et al., 2017; Halat et al., 2015; Hoor-Ul-Ain, 2020; Horii & Burgess, 2012; S. Lewis et al., 2020; Madan & Nalla, 2015; Natarajan et al., 2017; Neupane & Chesney-Lind, 2014; Orozco-Fontalvo et al., 2019; Tripathi et al., 2017). Sexual harassment is a multifaceted phenomenon that encompasses a variety of sexual behaviors. In this study, these include nonverbal sexual violence/abuse, such as stalking, exhibitionism, showing sexually explicit pictures, or making sexual gestures; verbal sexual violence/abuse, such as sexual comments, jeering or taunting, and asking questions about sexual activity; and physical sexual violence/abuse, which may involve behaviors such as touching, kissing, and more serious offenses such as rape. Although sexual harassment seems to be a global concern, the risk, fear, and impacts of victimization may vary highly from country to country (Gekoski et al., 2015). Knowing about students’ various degrees of victimization and fear helps to predict the impacts of this fear, from avoiding certain travel routes and/or times, to mobility impairment and isolation (Ceccato, 2017; Chowdhury & van Wee, 2020; James & Embrey, 2001; Loukaitou-Sideris & Fink, 2008; Pain, 1997; Paydar et al., 2017; Valentine, 1990). For young people in particular, such avoidance constitutes a barrier to movement, which in the long run may affect their life chances.
This article is composed of five sections. First, we discuss the literature on fear in transit environments. Then we frame the current study and research questions, and we follow with the results and discussion of our empirical study. The article ends with conclusions and recommendations for research and policy.
Fear in Transit Environments: Brief Literature Review
Although public transport environments generate areas of convergence that are more prone to crime, victimization by any crime in these environments does not happen at random and may be influenced by a variety of factors. Similarly, how different travelers perceive risk or feel fearful in transit environments is not random but may vary because of their individual characteristics and the particular features and contexts of these environments. Fear, according to Warr (2000, p. 453), is “an emotion, a feeling of alarm or dread caused by awareness of expectation of danger.” Although understanding the factors that influence an individual’s fear of becoming a crime victim is important, it is also significant to consider the ways in which fear impacts an individual’s everyday life. Below, we discuss the concept of fear and its causes and impact on people’s lives.
Causes of Poor Safety Perceptions
Individuals may feel unsafe for a variety of reasons, some of which may relate to the likelihood of being a victim of crime. Indeed, despite conflicting findings, international evidence indicates that previous victimization continues to be an important determinant of perceived safety (Hale, 1996; Hirtenlehner & Farrall, 2014; Otis, 2007; Yates & Ceccato, 2020). Witnessing other people’s victimization (particularly the victimization of a family member or friend) also affects an individual’s level of personal safety (for a review, see Skogan, 1987). Other individual factors may also determine the risk of victimization as well as safety perceptions. Scholars find that women, older adults, disadvantaged urban youth, members of ethnic minority groups, those who belong to the LGBTQI (lesbian, gay, bisexual, transgender, queer and intersex) community, those with disabilities, and those who are economically disadvantaged report higher levels of fear of crime (Alexander & Pain, 2012; Box et al., 1988; Garofalo & Laub, 1979; Iudici, 2015; Iudici et al., 2017; Pain & Smith, 2008; Sham et al., 2012; Yates & Ceccato, 2020).
Fear affects mobility and travel patterns (Loukaitou-Sideris, 2016). Feminist scholars have argued that “how people move (where, how fast, and how often) is demonstrably gendered and continues to reproduce gendered power hierarchies” (Cresswell & Uteng, 2008, p. 2). It is clear that gender distinctions in travel patterns exist in countries of the Global North and the Global South (Law, 1999; Tanzarn, 2008). Women typically make fewer job and business trips but more shopping trips and trips related to parental duties, elder care, and household obligations than men do. They also have more varied and complex activity patterns that often lead them to trip chain and higher overall numbers of trips. In many urban areas of the Global North and the Global South, women use public transportation more than men do (Cresswell & Uteng, 2008; Khan, 2013). Walking to/from a transit stop, waiting at bus stops or train platforms, and riding buses or trains expose women to the danger of sexual harassment and likely lead to higher levels of fear (Loukaitou-Sideris, 2005). The fear of harassment and crime in transit environments is probably one reason why women travel less frequently at night than men do and also avoid traveling during rush hours more than men do (Uteng & Cresswell, 2008).
Individual characteristics other than gender also influence fear and perceptions of safety. While young people are statistically more at risk of being victimized, older and/or disabled individuals tend to be more fearful (Furstenberg, 1971; Lagrange & Ferraro, 1989). Disability affects vulnerability to crime and may lead to high levels of fear (Iudici, 2015; Iudici et al., 2017). In Stockholm, for example, those who feel that they have one or more disabilities are twice as likely than the general population to report fear of being victims of assault or robbery (Ceccato, 2013), whereas in Brazil, scholars find that LGBTQI individuals, especially young women, tend to be overrepresented among those victimized by sexual harassment and sexual crime and declare to be more fearful while in transit (Nourani et al., 2020).
Safety Perceptions in Transit Environments
Women typically report being more fearful than men in transit environments (Ceccato, 2013; Dymen & Ceccato, 2012; Loukaitou-Sideris, 1999; Uteng & Cresswell, 2008), despite the fact that men are more often victims of reported crime than women are (Morgan & Smith, 2006). On the contrary, sexual assaults and rapes, which primarily affect women, remain among the most underreported crimes (Solymosi et al., 2018). Koskela and Pain (2000) suggest that we create mental maps of feared environments and unsafe places based on our prior experiences as well as on media stories and the accounts of others, while Sandercock (2005) argues that expressions of fear of crime are actually fear of others. According to Yates and Ceccato (2020), fear is more prominent among specific groups of women, who have poor social contacts in their neighborhoods. Such fear ultimately leads to place avoidance strategies and other behavioral changes.
Certain environmental characteristics of places may generate fear. Studies have found that darkness, poor guardianship, desolation, lack of maintenance, physical and social disorder in a transit setting, and unkempt and abandoned buildings in its near vicinity may affect the safety perceptions of transit riders (Loukaitou-Sideris, 2009). Signs that nobody has control over the setting—e.g., litter, vandalism, and loitering—are thought to trigger fear of crime (Lewis & Maxfield, 1980) and are indicators of more serious crimes.
In addition, some potential dangers, located far beyond a particular setting, may cause fear and vulnerability and a sense of loss of personal security (Beck, 1992). Mass media coverage has an important role to play in this context, where the notion of “stimulus similarity” (e.g., when a reader of a newspaper or a social media site identifies themselves with a described victim who has been attacked or raped in a public transportation setting, generating the feeling, “it could have been me”) is suggested as important in explaining the reaction of fear (Winkel & Vrij, 1990).
Temporal Patterns of Fear in Transit Environments
Fear and perceived risk can also vary temporally. Research evidence shows that safety perceptions may vary over the time of day, from weekdays to weekends, or during different seasons. For example, perceptions of safety may be more affected during peak hours (rush hours) of the day, when some crimes (e.g., pickpockets, jewelry snatching, groping) are facilitated by overcrowding (Block & Davis, 1999; Bradet & Normandeau, 1987; Ceccato & Uittenbogaard, 2014; Newton et al., 2014; Vanier & D’Arbois, 2018), or during off-peak hours, when crimes facilitated by the lack of natural surveillance (e.g., rape, aggravated assault) tend to happen (Austin & Buzawa, 1984; Transit Cooperative Research Program, 2001). Transit riders feel less safe in certain environments along the trip, particularly after dark (Smith & Cornish, 2012). Previous research indicates that fear intensifies after dark, most likely because more violent crimes happen during the evening/night at transportation nodes, when guardianship is poor and settings are empty (Yavuz & Welch, 2010). The gendered nature of women’s fear (Yates & Ceccato, 2020) is reflected in what has been called “the shadow of sexual assault” (Ferraro, 1996), making women pay higher costs than men for their “safety work” in public spaces, namely, the unnoticed work that goes into feeling safe (Vera-Gray, 2018).
Fear and Its Impact
According to Gordon and Riger (1989), fear of crime leads to a sense that one should always be vigilant and alert. Such feelings have the power to modify and/or restrict people’s activities in everyday life (Jackson & Gray, 2010). With regard to impacts on mobility, Jackson and Gray (2010) distinguish between “functional” and “dysfunctional” fear. Functional fear leads to precautionary actions that may reduce both fear and risk of victimization, sometimes even prompting individuals to support activities that make crime and victimization more difficult to occur, such as participating in night patrols or neighborhood watch schemes (Gray et al., 2011). On the contrary, dysfunctional fear can paralyze individuals, leading to negative impacts, such as constrained mobility and avoidance of public spaces, in turn reducing life opportunities.
Transit Safety in Different Contexts
The #MeToo! Movement 1 has shown that sexual violence is an issue that transcends socioeconomic status. However, low-income women worldwide, who often are transit captives, may be more exposed to sexual harassment than any other group, and therefore are often found more fearful than those who have access to other transportation means. In the United States, for instance, research has found that low-income women are more fearful of crime in public spaces and transit environments than high-income women because they live in high-crime and unsafe neighborhoods (Loukaitou-Sideris, 2005). Various studies carried out in India, Bangladesh, Pakistan, and other southern hemisphere countries found that women are more dependent on public transportation and have less access to private transport than men (Hoor-Ul-Ain, 2020; Moreira & Ceccato, 2020; Peters, 2001; Sham et al., 2012; Yu & Smith, 2014). Even after controlling for the proportion of public transit users by gender, women are at greater risk of violence, sexual harassment, and sexual assault than men (Law, 1999; World Bank, 2015). Moreira and Ceccato (2020) also found that in Sao Paulo’s subway system, women are at higher risk of victimization than men, whereas men run higher risk of violence at end stations, both notably during late-night periods.
Research Design
The empirical study examines the following research questions:
Research Question 1: Do safety perceptions vary because of individual characteristics of the student riders (such as gender, sexual orientation, previous sexual victimization) across all 18 cities?
Research Question 2: Do student transit riders declare feeling safer during the day than during the night?
Research Question 3: Are safety perceptions influenced by the particular city/country context?
Research Question 4: Does the transport mode (bus/train) affect expressed safety perceptions?
Research Question 5: To what extent, do feelings of lack of safety affect female students’ mobility, leading them, in particular, to exercise place/time avoidance strategies?
This study carried out an assessment of trends of sexual harassment among college students in 18 cities using an identical 45-question survey that inquired about the nature, type, settings, and extent of victimization in public transport settings and how it differs by gender, sexual orientation, and geographic context among college students in the different city/country contexts. The survey was translated into the local language of each city/country. Data collection took place between April and August 2018, with the exception of Lisbon, where researchers collected their data in early 2019. The cities included were: Vancouver, Canada; Los Angeles, CA, USA; San Jose, CA, USA; and Mexico City, Mexico in North America; São Paulo, Brazil; Rio Claro, Brazil; and Bogotá, Colombia in South America; Stockholm, Sweden; Huddinge, Sweden; London, UK; Paris, France; Lisbon, Portugal; and Milan, Italy in Europe; Tokyo, Japan; Guangzhou, China; and Manila, the Philippines in Asia; Lagos, Nigeria in Africa; and Melbourne in Australia. The appendix summarizes the characteristics of the samples by city, country, and continent.
For comparison purposes, we wished to include a variety of case studies from cities from different continents. Knowing that it would be difficult to access college students outside of our own countries, we utilized the user-list Transit Crime Research Network (https://maillist.sys.kth.se/mailman/listinfo/abe.kth.se_tcr-network) as well as our own network of contacts to identify scholars willing to translate our survey and distribute it to college students in their city. In this case, it was a convenience sample of cities, as we included researchers from this network who volunteered to take part in our study and distribute the survey to their students.
In most cities, we were able to reach and exceed a preset minimum sample of 300 students per sample; however, in two cities (Lagos and London), the samples were smaller, and these cities were excluded from some of the analyses. Overall, however, the average sample size was 650 students (ranging from a maximum sample size of 2,507 students in Lisbon, to a minimum sample size of 119 students in London). Some of the participating universities have a number of international students, but these students were underrepresented in the sample, not allowing for a comparison between domestic and international students. We have carried out an assessment of the methodology elsewhere; for more details, see the appendix and Ceccato and Loukaitou-Sideris (2020).
To create comparable data sets, we provided instructions to researchers administering the survey in each city, asking them to provide us with descriptive statistics from their survey data covering eight different themes. We have reported findings about these themes from the overall survey elsewhere (Ceccato & Loukaitou-Sideris, 2020). In this article, we wish to delve deeper and discuss one of these themes, namely, the students’ perceptions of safety in transit environments and the impacts that these perceptions have on their travel behavior. We asked students about their feelings of safety when traveling during the day and at night by bus and by train, while waiting at bus stops and station platforms, and while walking to/from the transit stop. Students had to respond to these questions on a Likert-type scale (from 1 to 5, with 1 = never, 2 = rarely, 3 = sometimes, 4 = often, and 5 = always). We report these findings in the next section.
Results
Safety Perceptions by Individual Characteristics
We sought to examine how individual characteristics such as gender, sexual orientation, and race/ethnicity may have impacted feelings of safety in transit environments. As we explain below, we were able to do a robust analysis in terms of gender, but our exploration of the effects of the other two variables faced challenges and was limited.
Gender. Figure 1 shows that there were significant differences among the 18 cities in the percentages of students who reported feeling “always” or “often” safe in transit settings. For bus systems, Stockholm was found to be the safest, in terms of student perceptions, whereas Mexico City was perceived as the least safe by both male and female students in the respective samples. Overall, the importance of gender on fear was clear, as female students in all cities felt more unsafe in transit settings than their male counterparts, as Figure 1 shows. These perceptions of lack of safety were, as expected, more intense during the nighttime, but still there were significant variations among cities. Thus, while only 1% of female students and 7% of male students in Mexico City indicated feeling “always” or “often” safe in the bus system after dark, 67% of female students and 88% of male students in Stockholm felt safe in the buses and bus stops of their city after dark.
Sexual orientation. We were able to ask about sexual orientation in only 13 cities because in some cities questions about sexual orientation were not allowed by law or cultural norms. In eight of these 13 cities, LGBTQI students were victimized at somewhat higher rates than straight students. In Manila, Sao Paulo, and Rio Claro, somewhat higher percentages of LGBTQI students expressed feelings of lack of safety in transit settings than non-LGBTQI students. In Los Angeles, we did not find significant differences between these groups; however, when we intersected gender, we found significantly higher percentages of lesbian than gay students expressing feelings of fear in transit settings. Overall, however, the small number of LGBTQI students in the samples from some cities did not allow for robust results and comparisons between this group and other students. More future research is necessary on this topic and also on how differences among LGBTQI students (e.g., gay men vs. lesbian women) may affect feelings of safety.
Race/ethnicity. We were able to examine the impacts of race/ethnicity in only two cities (Sao Paulo and Los Angeles). The reason was that in many cities (e.g., Tokyo, Guangzhou, Manila, Milan), the vast majority of respondents shared the same racial/ethnic identities. In some other cities (e.g., Paris, Stockholm, Huddinge, Lisbon), the law does not allow questions about race/ethnicity, so we were unable to include such questions in the survey. Nevertheless, in Sao Paulo and Los Angeles, we found higher percentages of non-White students expressing fear in transit settings than White students did. For example, in Sao Paulo, more Black, mixed race, and indigenous women than White women reported never feeling safe during the day on the bus (14% vs. 9%), at the bus stop (33% vs. 26%), or on the train (11% vs. 5%). Similarly, in Los Angeles, White students (male and female) were more likely than non-White students to report “always” or “often” feeling safe in transit settings.
Figure 1.
Percentage of students feeling “always” or “often” safe after dark on the bus in 18 cities, by gender.
Source. Authors.
Note. N = 18 cities, 13,323 university students.
Temporal Patterns of Safety Perceptions in Transit
As expected, students reported feeling safer during the day than at night. This is consistent with previous research that indicates that fear intensifies after dark, likely because more violent crimes happen during the evening/night in transportation settings because of desolation and low levels of guardianship. Figure 1 shows the percentage of respondents stating that they feel (always or often) safe after dark in all cities.
Safety Perceptions by City–Country Contexts Across All 18 Cities
Figure 2 shows two important findings: (a) respondents’ levels of victimization from sexual harassment vary highly by city, ranging from more than 70% in Sao Paulo and Lagos to around 30% in Guangzhou or Tokyo (for rail-bound transit), and (b) cities in Latin America and Africa top the scale of victimization.
Figure 2.
Women’s experiences with sexual harassment in bus- and rail-bound transit in selected cities (%).
Source. Authors.
Note. N = 16 cities. Rio Claro and Lagos were not included because the first does not have trains and the second has a metro system under construction.
By comparing Figures 1 and 2, we notice that those students from city samples characterized by higher levels of sexual harassment, such as Mexico City, Sao Paulo, or Lagos, also reported, ceteris paribus, feeling less safe. These findings might be related to the types of transit environments to which these students are exposed. We found, for example, that students who complained about problematic aspects of the physical or social environment of a setting (such as lack of lighting, desolate environment, presence of drunk people) at bus stops, on station platforms, or in transit vehicles were also those expressing higher levels of fear.
Transport Mode (Bus/Train) Impact on Reported Safety Perceptions
We also found differences in students’ safety perceptions by transit mode (bus or rail), but which mode was perceived as safer differed by city. Figure 3(A) shows the percentage of female students feeling “always” or “often” safe after dark on the bus and at the bus stop/walking to the bus stop, whereas Figure 3(B) shows the percentage of female students feeling “always” or “often” safe after dark on the train and at the train station/walking to the train station.
Figure 3.
(A) Percentage of women feeling “always” or “often” safe after dark on the bus and at bus stop/walking to the bus stop (N= 18 cities) and (B) percentage of women feeling “always” or “often” safe after dark on the train and at train station/walking to the train station (N= 14 cities).
Source. Authors.
Note. Rio Claro and Lagos were not included because the first does not have trains and the second has a metro system under construction; Los Angeles and Huddinge did not collect data for this question.
Figure 3 shows there is a clear positive relationship between how women evaluated their safety on these transport nodes and on the way to them. In other words, cities where high percentages of female students reported feeling safe in these transport nodes (on the bus or train) tended also to have high percentages of female students reporting high levels of safety on the way to the nodes. However, an important difference was that overall women respondents reported feeling always or often safe more at the train station or bus stop than on the way walking to/from them.
The Impact of Poor Safety Perceptions on Women’s Behavior
Sexual harassment in transit settings leads to the adoption of certain precautionary behaviors on the part of transit riders. Avoidance strategies prompt transit riders to travel only at particular times and to avoid travel routes and settings deemed as particularly risky, or even to avoid using transit completely. Figure 4(A) and 4(B) show that in all cities, female students took more precautions than male students did in all transit environments. However, the percentage of students taking precautions was context-specific and varied considerably by city. Figure 4(B) shows that for buses, both male and female students took precautionary measures that were proportionate to the levels of expressed perceptions of lack of safety. For instance, in Mexico City and Sao Paulo, where crime victimization is high, both male and female students reported taking precautionary measures more often than those living in other cities. This pattern was clearer for buses than for trains.
Figure 4.
(A) Percentage of students taking precautions on the train system in selected cities and (B) precautionary measures taken on bus by women (x-axis) and men (y-axis) in selected cities (%).
Source. Authors.
In addition, the types of common precautions that students took were sometimes similar and at other times different from city to city. For example, dressing only in a certain way to avoid sexual harassment was a very common strategy among many female students. In some cities, such as Tokyo and Guangzhou, more than half of the female riders reported following this strategy. This shows that globally, women often dress consciously to avoid attracting sexual attention and looks from men. Another example of a precautionary strategy, which was not that common among students in other cities, was weapon-carrying in Los Angeles, where one fifth of the female students reported carrying some kind of weapon (usually not a gun, but rather pepper spray, keys, or another sharp object) as a precaution when traveling.
During bus journeys, female students commonly reported seeking seats near the bus driver and also choosing bus stops to wait for the bus that were adequately lit. A common comment was that students felt the need to be vigilant and prepared when traveling, while many indicated that they stand ready to use a mobile phone to call for help if something happens. The survey indicated that men and women prepared themselves differently in situations they interpreted as risky. Some female students followed risk management strategies that prompted them to adopt reactive measures, such as dressing in a particular way, carrying some form of weapon, or using a backpack as a shield, as a means of preventing or minimizing the risk of exposure to harassment. For instance, in Stockholm, male students indicated that they often are prepared for theft or acts of violence in transit, whereas female students were often afraid of sexual attacks. While men usually want to show that they can defend themselves, women want to make sure they are noticed by bystanders in those environments (Ceccato et al., 2019), if a crime happens.
Discussion
The findings discussed in the previous section help us respond to this study’s research questions. For one, this comparative, exploratory study showed definitively that sexual harassment is a common occurrence in the transit settings of different cities around the world. The large number of cities (18) and the diversity of continents from which data were collected give us a reasonable assurance that this is a global phenomenon. We found, however, that victimization rates from sexual harassment on transit vary significantly by city, with cities in certain regions (e.g., Mexico City, Sao Paulo, and Rio Claro in Central and South America, and Lagos in Africa) displaying significantly higher numbers of victimization among respondents than cities in other regions (e.g., Guangzhou and Tokyo in Southeast Asia). As expected, feelings of safety corresponded to rates of victimization, with students in cities with high victimization also having higher levels of fear. Yet, despite a clear link between victimization from sexual harassment and safety perceptions across all samples, a word of caution is needed here because previous studies show ambiguous links between victimization and fear of crime (Cates et al., 2003; Garofalo & Laub, 1979), indicating that its effect on people’s behavior and attitudes may be moderated by other factors. As already mentioned, experiencing or witnessing the victimization of others may also affect an individual’s perception of safety (Skogan, 1987), which can be the case in highly criminogenic contexts.
However, it was not only the city/country context that affected the responding students’ levels of fear. We found that students displaying certain individual characteristics were more likely to be fearful traveling by transit than others. Clearly, gender was an overriding determinant of fear, with female students in all cities expressing higher levels of fear and concern in transit environments than male students. Our limited analysis in some cities of the impact of race/ethnicity and sexual orientation on fear showed that being non-White and/or LGBTQI augmented feelings of fear and lack of safety. As the vast majority of the respondents in all cities were between the ages of 18 and 29 years, we did not examine the impact of age on fear. Despite such limitations, our findings corroborate other research evidence that indicates that women’s age alone is a strong predictor of sexual victimization (Madan & Nalla, 2015; Whitzman, 2007). Thus, it is the intersection of some of the aforementioned individual characteristics that interact and influence women’s vulnerability to crime and fear of crime (Crenshaw, 1989), and this is a topic that deserves further research.
Second, and as expected, we found that particular temporal and spatial characteristics of transit settings had an impact on perceptions of fear. Although different crimes tend to happen more during different spatial and temporal conditions, students in all cities, even after controlling for gender, showed greater fear during the nighttime. This is the time when certain environmental characteristics, such as desolation, darkness, and lack of natural surveillance are common at transit settings, affecting not only victimization (Liggett et al., 2001; Loukaitou-Sideris, 1999) but also safety perceptions of travelers while in transit (Ceccato, 2013; Natarajan et al., 2017). These findings call for an approach to women’s safety that goes beyond transport nodes and focuses on a multi-temporal “whole journey” perspective, examining different transit environments, during different hours of the day, weekdays, and seasons. For instance, the number of hours of sunlight in the spring in some study contexts (e.g., Scandinavian cities) may have mediated the effect of poor artificial lighting in some of their transit settings; survey responses may have been different if collected in the darkness of the winter.
Third, depending on the city, responding students tended to fear one transit mode more than the other; however, with the exception of two cities, levels of fear in one mode were related to levels of fear in the other mode. This may constitute evidence that safety perceptions are affected by the whole journey and might be more constant than previously expected. The differential levels of fear by mode within the same city may relate to the types of areas (high- or low-crime) that particular transportation systems are serving and also to differential levels of policing and investment in security technologies that may characterize different transit systems within a city. Such variations in safety perceptions have also been found in previous studies (Loukaitou-Sideris et al., 2002). We also found that in all cities, students’ fear was proportionately lower within the controlled environment of the transit vehicle than at the relatively open and less controlled environment of the street leading to the transit stop or at the transit stop.
Fourth, certain characteristics of the social environment of transit settings frequently associated with “social disorder” seemed to correlate with increased levels of fear. In all cities, the primary social environment variable associated with fear was the presence of intoxicated individuals. But depending on the city, the presence of panhandlers and people exchanging or consuming drugs was also related to higher feelings of anxiety and fear among responding students Ceccato and Loukaitou-Sideris (2020). The mechanisms linking visible deterioration of a setting to reported poor safety perceptions can be associated with Wilson and Kelling’s (1982) “broken window syndrome,” which suggests that unrepaired damage to property encourages further vandalism and other types of crimes, and acts of vandalism and public disorder function as symbols of the extent to which an area is in decline. Signs of physical deterioration are also thought to be more important determinants of fear of crime than the actual crime itself (D. A. Lewis & Maxfield, 1980). In addition, transport nodes are often surrounded by criminogenic land uses, such as bars, restaurants, and stores with ATM machines (Ceccato et al., 2011), which may also lead to riders’ feelings of lack of safety.
Finally, we found that female students were much more likely to take precautions while traveling than male students did. This, of course, relates to the higher level of anxiety that female students are feeling while traveling than their male counterparts, and the higher levels of perceived vulnerability and risk of sexual victimization. Jonathan Jackson (2009) also found that females tend to worry more often than males partly because they feel less able to physically defend themselves and have lower perceived self-efficacy. With regard to the consequences of fear, women differ from men in the way they are affected. As suggested by Jackson and Gouseti (2014), for some people, worry about crime can be a problem-solving activity and provide a sense of agency, whereas for others it can be something that damages their well-being. Some of the precautions in which female students are engaging certainly affect their mobility when they lead them to abandon transit completely or during certain times (time and/or place avoidance). Other precautions, such as dressing in a certain way or carrying some form of a deterrent to possible attacks, may be perceived as a nuisance; nonetheless, they also put constraints on the behavior of female students. The psychological and/or situational mechanisms that lead to one or another behavior in the context of transit environments (in the bus/train car, at the bus stop/station, and during the walk to the transit stop) have to be further investigated in future research in different country contexts
Conclusions and Ways Forward
This study showed that sexual harassment in transit environments disproportionately affected female university students in our sample, representing a threat to the safety of their travel. This global study along with other literature from different cities shows that sexual harassment certainly impacts the unobstructed mobility of women, leading them to experience stress and fear in settings of everyday life. Sexual harassment varies temporally and across transit systems and city–country contexts, affecting different types of travelers.
This study has two important theoretical contributions related to the study of fear and victimization in transit environments. First, results show that levels of sexual victimization in transit environments seem to be associated with declared levels of perceived safety in these settings, regardless of the city or country contexts. These findings corroborate more general criminological work on the fear of crime that has shown that the perception of the likelihood of victimization is strongly correlated with expressed levels of fear about the event occurring (Ferraro, 1995). In the same vein, it would also be informative to investigate travelers’ sense of the seriousness of the short- and long-term consequences of sexual harassment for victims as well as nonvictims, who are fearful they might fall victim to such offenses.
Second, despite the importance of situational differences, gender was a strong determinant of both victimization and perceived safety in transit environments. The impact of gender was consistent across all samples; however, it was unclear whether fear of crime involved other psychological mechanisms linking gender to other intersectional characteristics (such as race/ethnicity, sexual orientation, status/identity, or disability) and/or “othering” processes and “fear of others” embedded in stereotyping certain types of individuals, groups, and places.
In summary, this comparative, exploratory study gave us some good indications and a better understanding about the fear that some young riders worldwide may feel while undertaking an everyday activity: using transit in their cities. Our study has also prompted more questions than it has answered. Therefore, we conclude this article by emphasizing the need for further research and painting its broad contours.
For one, we need to dive deeper to better understand and measure, through the employment of scientific random samples and the utilization of advanced statistics, the relative importance of different variables on fear in transit settings. We also need to explore how the size of a city and the complexity of its transportation network may affect feelings of fear. We know that individual variables affect fear, but the literature is still lacking large intersectional studies that show how characteristics such as race/ethnicity, age, or sexual orientation interact with gender to increase or decrease levels of fear.
We also need to better understand how particular environmental characteristics of a transit setting affect particular types of criminal and harassment behavior. For example, as we have noted, we can enumerate three different categories of harassment behavior, but we need more work to explore the situational circumstances and types of settings that may attract or deter each type of harassment behavior. The same also applies to safety perceptions, as we need to better comprehend how individual factors interact with the transit environment to affect it. As Jackson and Gouseti (2014) state, one has to consider not just the probability of victimization but also the controllability of crime and its consequences for a given individual in a given context— in this case, along the trip.
All studies about sexual harassment unambiguously indicate that women are victimized at a much higher level than men (e.g., Gekoski et al., 2015; S. Lewis et al., 2020; Moreira & Ceccato, 2020; Orozco-Fontalvo et al., 2019). However, as we found in our study, there were a number of male students in all cities (ranging from 11% in Tokyo to 65% in Mexico City), who reported also having been exposed to harassment behaviors in transit. We need to further study this incidence of male harassment to understand the types of harassment behaviors that affect men compared with the behaviors that affect women.
It would also be important to examine in more depth the types of precautions against harassment in cities—how they differ by gender, transit setting, and cultural norms—and to what extent they lead to positive and empowering behaviors (less fear) or to negative and paralyzing behaviors that constrain mobility (avoidance of travel because of fear). However, individual riders should not be left as the only ones responsible to protect themselves from sexual harassment and other criminal behaviors on transit. Therefore, it is also important to understand and evaluate best practices and lessons from transit systems around the world, which have proven to be effective in lessening harassment and crime.
Author Biographies
Vania Ceccato is a Professor at the Department of Urban Planning and Environment, KTH Royal Institute of Technology, Stockholm, Sweden. Her research is international in outlook and has focused on the situational conditions of crime and fear in urban and rural environments. She is the author of several books, including Rural Crime and Community Safety and co-editor of Safety and Security in Transit Environments: An International Perspective (with A. Newton), Crime and Fear in Public Places: Toward Safe, Inclusive and Sustainable Cities (with M. Nalla), and Transit Crime and Sexual Violence in Cities (with A. Loukaitou-Sideris).
Anastasia Loukaitou-Sideris is a distinguished Professor of urban planning and associate dean of the Luskin School of Public Affairs at UCLA. She is the author or editor of 10 books, the most recent of which are Informal American City (with V. Mukhija), Transit-Oriented Displacement or Community Dividends? (with K. Chapple), New Companion to Urban Design (with T. Banerjee), Urban Humanities (with D. Cuff, T. Presner, M. Zubiaurre, and J. Crisman), and Transit Crime and Sexual Violence in Cities (with V. Ceccato).
Appendix
Appendix.
Summary of the Characteristics of 18 Case Samples of University Students.
| City name | Country | Continent | Population | Universities involved | Sample size | Female/male |
|---|---|---|---|---|---|---|
| Tokyo | Japan | Asia | 13,857,443 | Multiple universities in Tokyo area | 400 | 196/196 |
| Guangzhou | China | Asia | 14,904,400 | SCUT and SCAU | 402 | 202/191 |
| Manila | The Philippines | Asia | 12,877,253 | University of the Philippines | 316 | 166/144 |
| Melbourne | Australia | Oceania | 4,700,000 | University of Melbourne (primarily) | 517 | 350/151 |
| Lagos | Nigeria | Africa | 20,000,000 est. | University of Lagos | 270 | 149/115 |
| Bogotá | Colombia | South America | 7,181,469 | University of Los Andes | 1065 | 531/522 |
| São Paulo | Brazil | South America | 12,176,866 | USP (Cidade Universitária) | 557 | 371/179 |
| Rio Claro | 201,473 | UNESP | 462 | 215/197 | ||
| Los Angeles | USA | North America | 3,792,621 | UCLA | 448 | 278/150 |
| San Jose | 1,046,079 | San Jose State University | 891 | 437/403 | ||
| Vancouver | Canada | North America | 631,486 | Simon Fraser University | 304 | 235/57 |
| Mexico City | Mexico | Central America | 8,855,000 | CU Nezahualcóyotl | 383 | 191/188 |
| Stockholm | Sweden | Europe | 965,232 | KTH | 1122 | 478/583 |
| Huddinge | 112,000 | Södertörn University | 309 | 230/64 | ||
| Lisbon | Portugal | Europe | 547,773 | Multiple in Lisbon area | 2507 | 1815/640 |
| London | UK | Europe | 8,170,000 | Multiple in London area | 119 | 69/47 |
| Paris | France | Europe | 2,140,526 | Sciences Po | 740 | 574/156 |
| Milan | Italy | Europe | 1,400,000 | Università Cattolica del Sacro Cuore—Milan Campus | 898 | 637/162 |
#Me Too! is a movement against sexual assault and harassment that advocates for women who have survived sexual violence and harassment to speak out about their experiences. The movement spread quickly globally as a hashtag on social media after the sexual-abuse allegations against Hollywood film producer Harvey Weinstein in October 2017.
Footnotes
Authors’ Note: Thanks to all researchers involved in the global study, “Transit safety among college students: An international study,” especially for refining the questions used in this analysis. We are grateful to all students who took time to respond to the survey. Thanks also to participants in the conference Crime and fear in public places that took place at KTH Royal Institute of Technology, in Stockholm, Sweden, 17–18 October 2018, for their comments.
Declaration of Conflicting Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding: The author(s) received no financial support for the research, authorship, and/or publication of this article.
ORCID iD: Vania Ceccato https://orcid.org/0000-0001-5302-1698
References
- Alexander C., Pain R. (2012). Urban security: Whose security? Everyday responses to urban fears. In Ceccato V. (Ed.), The urban fabric of crime and fear (pp. 311–341). Springer. [Google Scholar]
- Austin T. L., Buzawa E. S. (1984). Citizen perceptions on mass transit crime and its deterrence: A case study. Transportation Quarterly, 38, 103–120. [Google Scholar]
- Ball K. S., Wesson C. J. (2017). Perceptions of unwanted sexual behaviour on public transport: Exploring transport density and behaviour severity. Crime Prevention and Community Safety, 19(3), 199–210. 10.1057/s41300-017-0026-3 [DOI] [Google Scholar]
- Beck U. (1992). Risk society: Towards a new modernity. Sage. [Google Scholar]
- Block R., Davis S. (1999). The environs of rapid transit stations: A focus for street crime or just another risky place? In Clarke R. (Ed.), Preventing mass transit crime (pp. 237–257). Criminal Justice Press. [Google Scholar]
- Box S., Hale C., Andrews G. (1988). Explaining fear of crime. British Journal of Criminology, 28, 340–356. [Google Scholar]
- Bradet C., Normandeau A. (1987). La criminalité et les transports publics [Crime in public transportation]. Déviance et Société, 11, 105–122. [Google Scholar]
- Cates J. A., Dian D. A., Schnepf G. W. (2003). Use of protection motivation theory to assess fear of crime in rural areas. Psychology, Crime & Law, 9(3), 225–236. 10.1080/1068316021000072184 [DOI] [Google Scholar]
- Ceccato V. (2013). Moving safely: Crime and perceived safety in Stockholm’s subway stations. Lexington. [Google Scholar]
- Ceccato V. (2017). Women’s victimisation and safety in transit environments. Crime Prevention and Community Safety, 19(3), 163–167. 10.1057/s41300-017-0024-5 [DOI] [Google Scholar]
- Ceccato V., Loukaitou-Sideris A. (Eds.). (2020). Transit crime and sexual violence in cities: International evidence and prevention. Routledge. [Google Scholar]
- Ceccato V., Sundling C., Näsman P., Langeförs L. (2019). Trygghet i kollektivtrafiken i Stockholm i ett internationellt perspektiv.En handlingsplan mot sexuella trakasserier och brott i transitmiljöer [Safety in public transportation in Stockholm in a international perspective: A plan of action against sexual harrassment and crime in transit environments]. Department of Urban Planning and Enviornment, KTH, Safeplaces network, p. 50. http://kth.diva-portal.org/smash/get/diva2:1358136/FULLTEXT01.pdf (accessed 2 February 2021). [Google Scholar]
- Ceccato V., Uittenbogaard A. C. (2014). Space–time dynamics of crime in transport nodes. Annals of the Association of American Geographers, 104(1), 131–150. 10.1080/00045608.2013.846150 [DOI] [Google Scholar]
- Ceccato V., Uittenbogaard A. C., Bamzar R. (2011). Security in Stockholm’s underground stations: The importance of environmental attributes and context. Security Journal, 26(1), 33–59. 10.1057/sj.2011.32 [DOI] [Google Scholar]
- Chowdhury S., van Wee B. (2020). Examining women’s perception of safety during waiting times at public transport terminals. Transport Policy, 94, 102–108. 10.1016/j.tranpol.2020.05.009 [DOI] [Google Scholar]
- Crenshaw K. (1989). Demarginalizing the intersection of race and sex: A Black feminist critique of antidiscrimination doctrine, feminist theory and antiracist politics. University of Chicago Legal Forum, 1989, Article 8. https://chicagounbound.uchicago.edu/uclf/vol1989/iss1/8 [Google Scholar]
- Cresswell T., Uteng T. P. (2008). Gendered mobilities: Towards a holistic understanding. In Uteng T. P., Cresswell T. (Eds.), Gendered mobilities (pp. 1–14). Ashgate. [Google Scholar]
- Dymen C., Ceccato V. (2012). An international perspective of the gender dimension in planning for urban safety. In Ceccato V. (Ed.), The urban fabric of crime and fear (pp. 311–341). Springer. [Google Scholar]
- Ferraro K. F. (1995). Fear of crime: Interpreting victimization risk. State University of New York Press. [Google Scholar]
- Ferraro K. F. (1996). Women’s fear of victimization: Shadow of sexual assault? Social Forces, 75(2), 667–690. 10.1093/sf/75.2.667 [DOI] [Google Scholar]
- Furstenberg J. F. F. (1971). Public reaction to crime in the streets. The American Scholar, 40(40), 601–610. [Google Scholar]
- Gardner N., Cui J., Coiacetto E. (2017). Harassment on public transport and its impacts on women’s travel behaviour. Australian Planner, 54(1), 8–15. 10.1080/07293682.2017.1299189 [DOI] [Google Scholar]
- Garofalo J., Laub J. (1979). Fear of crime—Broadening our perspective. Victimology, 3, 242–253. [Google Scholar]
- Gekoski A., Jacqueline M., Gray M. H., Horvath S. E., Aliye E., Adler J. (2015). What works’ in reducing sexual harassment and sexual offences on public transport nationally and internationally: A rapid evidence assessment. http://eprints.mdx.ac.uk/15219/1/Gekoski%2C%20Gray%2C%20Horvath%2C%20Edwards%2C%20Emirali%20%26%20Adler%202015.pdf
- Gordon M., Riger S. (1989). The female fear. The Free Press. [Google Scholar]
- Gray E., Jackson J., Farrall S. (2011). Feelings and functions in the fear of crime: Applying a new approach to victimisation insecurity. British Journal of Criminology, 51(1), 75–94. 10.1093/bjc/azq066 [DOI] [Google Scholar]
- Halat H., Saberi M., Frei C. A., Frei A. R., Mahmassani H. S. (2015). Impact of crime statistics on travel mode choice. Transportation Research Record: Journal of the Transportation Research Board, 2537, 81–87. 10.3141/2537-09 [DOI] [Google Scholar]
- Hale C. (1996). Fear of crime: A review of the literature. International Review of Victimology, 4(2), 79–150. 10.1177/026975809600400201 [DOI] [Google Scholar]
- Hirtenlehner H., Farrall S. (2014). Is the “shadow of sexual assault” responsible for women’s higher fear of Burglary? British Journal of Criminology, 54, 1167–1185. 10.1093/bjc/azu054 [DOI] [Google Scholar]
- Hoor-Ul-Ain S. (2020). Public sexual harassment mayhem on public transport in megacities—Karachi and London: A comparative review. Aggression and Violent Behavior, 52, 101420. 10.1016/j.avb.2020.101420 [DOI] [Google Scholar]
- Horii M., Burgess A. (2012). Constructing sexual risk: “Chikan,” collapsing male authority and the emergence of women-only train carriages in Japan. Health, Risk & Society, 14(1), 41–55. 10.1080/13698575.2011.641523 [DOI] [Google Scholar]
- Iudici A. (2015). Sexual harassment against people with mental disabilities in transit environments: Implications for services and clinics. In Ceccato V., Newton A. (Eds.), Safety and security in transit environments: An interdisciplinary approach (pp. 328–343). Palgrave Macmillan. [Google Scholar]
- Iudici A., Bertoli L., Faccio E. (2017). The “invisible” needs of women with disabilities in transportation systems. Crime Prevention and Community Safety, 19(3), 264–275. 10.1057/s41300-017-0031-6 [DOI] [Google Scholar]
- Jackson J. (2009). A psychological perspective on vulnerability in the fear of crime. Psychology, Crime & Law, 15(4), 365–390. 10.1080/10683160802275797 [DOI] [Google Scholar]
- Jackson J., Gouseti I. (2014). Fear of crime. In Miller J. M. (Ed.), The encyclopedia of theoretical criminology (pp. 1–5). Wiley-Blackwell. https://ssrn.com/abstract=2118663 (accessed 2 February 2021).
- Jackson J., Gray E. (2010). Functional fear and public insecurities about crime. British Journal of Criminology, 50(1), 1–22. 10.1093/bjc/azp059 [DOI] [Google Scholar]
- James K., Embrey L. (2001). “Anyone could be lurking around!”: Constraints on adolescent girls’ recreational activities after dark. World Leisure Journal, 43(4), 44–52. 10.1080/04419057.2001.9674248 [DOI] [Google Scholar]
- Khan Y. (2013, March 8). Making transport safer for women. The City Fix. http://thecityfix.com/blog/women-public-safety-demands-yasmin-khan/.
- Koskela H., Pain R. (2000). Revisiting fear and place: Women’s fear of attack and the built environment. Geoforum, 31(2), 269–280. 10.1016/S0016-7185(99)00033-0 [DOI] [Google Scholar]
- Lagrange R. L., Ferraro K. F. (1989). Assessing age and gender differences in perceived risk and fear of crime. Criminology, 27(4), 697–720. 10.1111/j.1745-9125.1989.tb01051.x [DOI] [Google Scholar]
- Law R. (1999). Beyond “women and transport”: Towards new geographies of gender and daily mobility. Progress in Human Geography, 23, 567–588. [Google Scholar]
- Lewis D. A., Maxfield M. G. (1980). Fear in the neighborhoods: An investigation of the impact of crime. Journal of Research in Crime & Delinquency, 17(2), 160–189. 10.1177/002242788001700203 [DOI] [Google Scholar]
- Lewis S., Saukko P., Lumsden K. (2020). Rhythms, sociabilities and transience of sexual harassment in transport: Mobilities perspectives of the London underground. Gender, Place & Culture, 28(2), 277–298. 10.1080/0966369X.2020.1734540 [DOI] [Google Scholar]
- Liggett R., Loukaitou-Sideris A., Iseki H. (2001). Bus stop–Environment connection: Do characteristics of the built environment correlate with bus stop crime? Transportation Research Record: Journal of the Transportation Research Board, 1760(1), 20–27. 10.3141/1760-03 [DOI] [Google Scholar]
- Loukaitou-Sideris A. (1999). Hot spots of bus stop crime: The importance of environmental attributes. Journal of the American Planning Association, 65(4), 395–411. 10.1080/01944369908976070 [DOI] [Google Scholar]
- Loukaitou-Sideris A. (2005). Is it safe to walk here? In Conference Proceedings 35 (Vol. 2, pp. 102–112). Transportation Research Board of the National Academies. [Google Scholar]
- Loukaitou-Sideris A. (2009). How to ease women’s fear of transportation environments: Case Studies and best practices (Report 08-08). Mineta Transportation Institute. [Google Scholar]
- Loukaitou-Sideris A. (2016). A gendered view of mobility and transport. Town Planning Review, 87(5), 547–565. [Google Scholar]
- Loukaitou-Sideris A., Fink C. (2008). Addressing women’s fear of victimization in transportation settings: A survey of U.S. transit agencies. Urban Affairs Review, 44(4), 554–587. 10.1177/1078087408322874 [DOI] [Google Scholar]
- Loukaitou-Sideris A., Liggett R., Iseki H. (2002). The geography of transit crime: Documentation and evaluation of crime incidence on and around the green line stations in Los Angeles. Journal of Planning Education and Research, 22(2), 135–151. 10.1177/0739456X02238443 [DOI] [Google Scholar]
- Madan M., Nalla M. (2015). Sexual harassment in public spaces: Examining gender differences in perceived seriousness and victimization. International Criminal Justice Review, 26, 80–97. [Google Scholar]
- Moreira G., Ceccato V. (2020). Gendered mobility and violence in the São Paulo metro, Brazil. Urban Studies, 58, 203–222. 10.1177/0042098019885552 [DOI] [Google Scholar]
- Morgan R., Smith M. J. (2006). Crimes against passengers: Theft, robbery, assault and indecent assault. In Smith D. B. C. M. J. (Ed.), Secure and tranquil travel: Preventing crime and disorder on public transport (pp. 77–102). Jill Dando Institute of Crime Science. [Google Scholar]
- Natarajan M., Schmuhl M., Sudula S., Mandala M. (2017). Sexual victimization of college students in public transport environments: A whole journey approach. Crime Prevention and Community Safety, 19(3), 168–182. 10.1057/s41300-017-0025-4 [DOI] [Google Scholar]
- Neupane G., Chesney-Lind M. (2014). Violence against women on public transport in Nepal: Sexual harassment and the spatial expression of male privilege. International Journal of Comparative and Applied Criminal Justice, 38(1), 23–38. 10.1080/01924036.2013.794556 [DOI] [Google Scholar]
- Newton A. D., Partridge H., Gill A. (2014). In and around: Identifying predictors of theft within and near to major mass underground transit systems. Security Journal, 27(2), 132–146. 10.1057/sj.2014.2 [DOI] [Google Scholar]
- Nourani F., Antonello S. L., Govone J. S., Ceccato V. (2020). Women and LGBTI youth at target: Assessing transit safety in Rio Claro, Brazil. In Ceccato V., Nalla M. (Eds.), Crime and fear in public places: Towards safe, inclusive and sustainable cities (pp. 176–193). Routledge. [Google Scholar]
- Orozco-Fontalvo M., Soto J., Arévalo A., Oviedo-Trespalacios O. (2019). Women’s perceived risk of sexual harassment in a Bus Rapid Transit (BRT) system: The case of Barranquilla, Colombia. Journal of Transport & Health, 14, 100598. 10.1016/j.jth.2019.100598 [DOI] [Google Scholar]
- Otis M. D. (2007). Perceptions of victimization risk and fear of crime among lesbians and gay men. Journal of Interpersonal Violence, 22(2), 198–217. 10.1177/0886260506295346 [DOI] [PubMed] [Google Scholar]
- Pain R. (1997). Social geographies of women’s fear of crime. Transactions of the Institute of British Geographers, 22(2), 231–244. [Google Scholar]
- Pain R., Smith S. J. (2008). Fear: Critical geopolitics and everyday life. In Pain R., Smith S. J. (Eds.), Fear: Critical geopolitics and everyday life (pp. 1–24). Ashgate. [Google Scholar]
- Paydar M., Kamani-Fard A., Etminani-Ghasrodashti R. (2017). Perceived security of women in relation to their path choice toward sustainable neighborhood in Santiago, Chile. Cities, 60, 289–300. 10.1016/j.cities.2016.10.002 [DOI] [Google Scholar]
- Peters D. (2001). Gender and transport in less developed countries: A background paper in preparation for CSD-9 [Paper Commissioned by UNED Forum]. https://www.ssatp.org/sites/ssatp/files/publications/HTML/Gender-RG/Source%20%20documents/Issue%20and%20Strategy%20Papers/G&T%20Rationale/ISGT4%20Gender%20and%20transport%20in%20LDCs%20UNED%2001.pdf
- Sandercock R. J. (Ed.). (2005). Difference, fear and habitus, a political economy of urban fear. Ashgate. [Google Scholar]
- Sham R., Soltani S. H. K., Sham M., Mohamed S. (2012). Travel safety fear factor among vulnerable group of travelers: The urban scenario. Procedia: Social and Behavioral Sciences, 50, 1033-1042. doi: 10.1016/j.sbspro.2012.08.103. [DOI] [Google Scholar]
- Skogan W. G. (1987). The impact of victimization on fear. Crime & Delinquency, 33(1), 135–154. 10.1177/0011128787033001008 [DOI] [Google Scholar]
- Smith M., Cornish D. B. (2012). Secure and tranquil travel: Preventing crime and disorder on public transport. Taylor & Francis. [Google Scholar]
- Solymosi R., Cella K., Newton A. (2018). Did they report it to stop it? A realist evaluation of the effect of an advertising campaign on victims’ willingness to report unwanted sexual behaviour. Security Journal, 31(2), 570–590. 10.1057/s41284-017-0117-y [DOI] [Google Scholar]
- Tanzarn N. (2008). Gendered mobilities in developing countries: The case of (urban) Uganda. In Uteng T. P., Cresswell T. (Eds.), Gendered mobilities (pp. 159–171). Ashgate. [Google Scholar]
- Transit Cooperative Research Program. (2001). Guidelines for collecting, analyzing, and reporting transit crime data. Transportation Research Board, National Research Council. [Google Scholar]
- Tripathi K., Borrion H., Belur J. (2017). Sexual harassment of students on public transport: An exploratory study in Lucknow, India. Crime Prevention and Community Safety, 19(3), 240–250. 10.1057/s41300-017-0029-0 [DOI] [Google Scholar]
- UN Women. (2017). Safe cities global initiatives. www.unwomen.org
- Uteng T. P., Cresswell T. (2008). Gendered mobilities. Ashgate. [Google Scholar]
- Valentine G. (1990). Women’s fear and the design of public space. Built Environment, 16(4), 288–303. [Google Scholar]
- Vanier C., D’Arbois H. (2018). Le sentiment d’insécurité dans les transports en commun: Situations anxiogènes et stratégies d’évitement [Fear of crime in public transit: anxiety-provoking situations and avoidance strategies] (Grand Angle, 46). https://inhesj.fr/sites/default/files/publications/files/2019-12/GA_46_0.pdf
- Vera-Gray F. V. (2018). Right amount of panic: How women trade freedom for safety. Policy Press. [Google Scholar]
- Warr M. (2000). Fear of crime in the United States: Avenues for research and policy. Criminal Justice and Behavior, 4, 451–489. [Google Scholar]
- Whitzman C. (2007). Stuck at the front door: Gender, fear of crime and the challenge of creating safer space. Environment and Planning A, 39(11), 2715–2732. [Google Scholar]
- Wilson J. Q., Kelling G. L. (1982). Broken windows. Atlantic Monthly, 249, 29–38. [Google Scholar]
- Winkel F. V., Vrij A. (1990). Fear of crime and mass media crime reports testing similarity hypotheses. International Review of Victimology, 1(3), 251–265. 10.1177/026975809000100303 [DOI] [Google Scholar]
- World Bank. (2015). Violence against women and girls resource guide: Transport brief. http://www.vawgresourceguide.org
- Yates A., Ceccato V. (2020). Individual and spatial dimensions of women’s fear of crime: A Scandinavian study case. International Journal of Comparative and Applied Criminal Justice, 44, 277–292. 10.1080/01924036.2020.1719531 [DOI] [Google Scholar]
- Yavuz N., Welch E. W. (2010). Addressing fear of crime in public space: Gender differences in reaction to safety measures in train transit. Urban Studies, 47(12), 2491–2515. 10.1177/0042098009359033 [DOI] [PubMed] [Google Scholar]
- Yu S.-s V., Smith M. J. (2014). Commuters using public transit in New York City: Using area-level data to identify neighbourhoods with vulnerable riders. Security Journal, 27(2), 194–209. 10.1057/sj.2014.6 [DOI] [Google Scholar]




