Abstract
Objectives. We compared participants from the Ciclovia (streets temporarily closed to motorized vehicles and open for pedestrians) and Cicloruta (bicycle paths) programs in Bogotá, Colombia, to assess associations of program participation with physical activity, safety, social capital, and equity.
Methods. We conducted 2 cross-sectional studies in October 2009 with intercept surveys: one among 1000 Ciclovia participants and the other among 1000 Cicloruta participants.
Results. Most Ciclovia participants met the physical activity recommendation in leisure time (59.5%), and most Cicloruta participants met it by cycling for transportation (70.5%). Ciclovia participants reported a higher perception of safety (51.2% regarding traffic and 42.4% about crime) and social capital (odds ratio = 2.0; 95% confidence interval = 1.4, 2.8) than did Cicloruta users. Most Cicloruta users reported living in low socioeconomic status categories (53.1%), had lower educational attainment (27%), and did not own cars (82.9%). Most Ciclovia participants reported living in middle socioeconomic status categories (64%), had low-to-middle educational attainment (51.1%), and did not own cars (66.1%).
Conclusions. The Ciclovia and Cicloruta programs have the potential to equitably promote physical activity and provide a mobility alternative in complex urban settings such as Bogotá.
The extensively documented health benefits of regular physical activity (PA)1 and its relevance for global public health2,3 have brought increasing attention to the implementation of community-based strategies in Bogotá4,5 and other Latin American cities.5,6 Evidence suggests that the implementation of strategies to enhance built and social environments is essential to effectively increase PA and to improve health and quality of life.7,8
Bogotá has been recognized for the implementation of policies and built environment changes that have increased access to recreational programs, as well as for promoting public transportation and active commuting.4,9 Two of the widely praised approaches the city has implemented are the Ciclovia program and the network of bicycle paths, called Cicloruta.4 Both initiatives have strong potential to increase PA levels in Bogotá.10,11
THE CICLOVIA AND CICLORUTA PROGRAMS
The Ciclovia program is a community-based program in which streets are temporarily closed to motorized vehicles to allow exclusive access for pedestrians, cyclists, skaters, and others for active recreation.10 Currently, Ciclovia involves a circuit of 121 kilometers (75 miles) of main avenues,5 which are closed every Sunday and holiday (72 events per year, from 7 am to 2 pm).10 Estimates suggest that there are 600 000 to 1 400 000 participants each Sunday. The Ciclovia program was found to be cost-beneficial for the city.12
The Cicloruta is the most extensive bicycle path network in Latin America,13 with 300 kilometers (186.4 miles) of cycling paths. The paths connect to public transportation and provide access to many destinations in the city.4
The exponential growth of Ciclovias around the world,14 especially in the Americas,10 and the strong evidence of Cicloruta’s international impact15–17 should be acknowledged. A systematic review conducted in 2008 found 57 Ciclovia programs in the Americas, 38 of which were active and regular, and 9 of which were in the United States.10 A recent review conducted in the United States showed 67 documented Ciclovia initiatives in North America, referred to as Open Streets,18 indicating the expansion of these programs beyond Latin America. The Ciclovias have also been shown to be programmatic interventions that can promote cycling across a population.16 Equally important is the evidence that the provision of separate cycling paths along the roads (Cicloruta) has been significantly associated with increased cycling for transportation in Europe,16,17 the United States,16 and Canada.15 In addition, studies indicate that strategies such as the Ciclovia and Cicloruta carry public health cobenefits, such as improved quality of life,19 better air quality,20,21 health,11 and the promotion of social capital (SC), safety, and equity.22
SOCIAL CAPITAL, ENVIRONMENT, AND PHYSICAL ACTIVITY
For this study we defined SC as features of social organization, such as networks, norms, and social trust, that facilitate coordination and cooperation for mutual benefit.23 Constructs of SC, including shared values,24 cooperation,24 social participation,25 and collective efficacy (a form of SC that combines “social cohesion with the willingness to intervene on behalf of the common good”),26(p918) have been shown to be associated with health-related outcomes and well-being. Constructs of SC have also been linked to the built environment,27 which can influence social interactions and perceptions of social environment24 and safety.26
We defined equity as an ethical concept of social justice and fairness,28 where “people’s needs, rather than their social privileges, guide the distribution of opportunities for well-being.”29(p173)
In this study we considered neighborhood socioeconomic status (SES) as an equity indicator because it is the standardized scale used in Bogotá to classify neighborhoods on the basis of income, location, surrounding areas, and urban characteristics.30 Studies have indicated that income inequality is associated with low SC, poor health, and less socially cohesive environments, which often generate higher crime rates.31 By contrast, parks with higher SC levels are associated with an increased perception of safety, which has been attributed to positive social norms, lower levels of antisocial behaviors,32 and the natural surveillance generated by increased pedestrian traffic.25 High SC levels have also been associated with preventing and decreasing crime, buffering socioeconomic inequalities33 and protecting the health of those living in disadvantaged conditions.31 Parks with higher SC have also shown more users and higher levels of physical activity.25,34
There is growing evidence of the impact of policies and environmental interventions to promote PA and other health-related and social benefits. But few studies have explored the potential outcomes of the Ciclovia and Cicloruta programs in Bogotá,4,5,10 and none have compared the users of the 2 programs to better understand how the programs function, influence various aspects of the city, and can be enhanced. The purpose of this study was to characterize the Ciclovia and Cicloruta participants and compare the programs to explore how program participation is related to PA, safety perception, SC, and equity.
METHODS
The data for this study were collected in Bogotá, Colombia. Bogotá has a population of 7 647 36635 and is a city with high rates of homicide, interpersonal violence, traffic-related mortality,36 robbery, and automobile theft.36 Income inequality in Colombia is the highest in South America, with a Gini-index of 0.58.37
The Cicloruta and Ciclovia Surveys
For the Cicloruta program, trained interviewers conducted an intercept survey of 1000 adult cyclists on weekdays in October 2009. The network was divided into 5 zones, with the 6 SES categories represented.21 Two interception points were selected per zone: one with low and one with high cyclist density. The interviewers surveyed every third adult crossing each interception point.
Trained interviewers conducted the intercept survey of 1000 adults at the Ciclovia on 3 consecutive Sundays in October 2009. The total distance of the Ciclovia was divided into 16 equidistant interception points to represent the entire circuit. The interviewers surveyed every third adult crossing each interception point.
Outcome Variables
For the Cicloruta survey, we analyzed PA as the outcome variable. We used the long version of the International Physical Activity Questionnaire38 to assess PA levels by domain as suggested by the scoring protocol.38,39 However, we only considered the leisure time (LTPA) and transportation domains in this study.40 Cycling for transportation was the outcome variable40 because the purpose of the program is to provide a transportation alternative for the city. We classified individuals as meeting the PA recommendation (those who reported 150 minutes or more of cycling for transportation per week in bouts of at least 10 minutes each time) and not meeting the PA recommendation (those who reported less than 150 minutes of cycling for transportation per week), based on the 2008 Physical Activity Guidelines for Americans, which recommends at least 150 minutes of moderate-intensity or 75 minutes of vigorous-intensity aerobic PA each week.41
For the Ciclovia analysis, we analyzed 2 outcome variables: PA and SC. To assess PA, we only considered the LTPA39,40 because Ciclovia is a leisure-time program and does not provide an alternative for transportation during the week. We calculated LTPA by adding up the minutes spent on leisure-time activities from any of the following 3 categories: moderate-intensity PA, vigorous-intensity PA (multiplied by 2 as suggested by the 2008 Physical Activity Guidelines for Americans41), and walking, according to the LTPA categories from the International Physical Activity Questionnaire, which classifies walking and moderate intensity PA separately.38 We classified individuals as meeting or not meeting the PA recommendation.41
We selected and adapted the SC questions from existing and valid international questionnaires,42–44 and we adapted specific questions (e.g., “Do you agree or disagree with the following statement: Most people who participate in the Ciclovia/Cicloruta can be trusted?”) for the surveys. We asked 10 SC questions to evaluate the respondents’ perceptions of different SC components in the Ciclovia, including trust, collective efficacy, mutual support, and shared values. Responses were Likert scales from 1 to 5, with 1 indicating that the respondent strongly disagreed with the positive SC statement and 5 indicating that the respondent strongly agreed.
Sociodemographic Variables and Program Participation
Additional information collected about participants in the Cicloruta and Ciclovia included gender, age group (18–29 years, 30–49 years, or ≥ 50 years), occupation (not remunerated, remunerated, student), household monthly income (US $0–$195, US $196–$487, or ≥ US $488), education (less than middle school, middle to high school, university and above), marital status (single, widowed, or divorced; married or living with a partner), car in the household (yes, no) and SES (1–6, 1 being the lowest and 6 the highest).30 We also analyzed characteristics of program use (frequency of use for Ciclovia: infrequent = once per month; frequent = 2–3 days per month; regular = 4 or more days per month; and for Cicloruta users: infrequent = from once per year to once per week; frequent = 2–4 days per week; regular = 5–7 days per week) and participation in the other program—Cicloruta use among Ciclovia users and vice versa. We classified variables regarding safety and security as unsafe, neutral, and safe.
Data Analysis
We carried out the statistical analysis with SAS version 9.2 software (SAS Institute Inc, Cary, NC). First, we described the sociodemographic characteristics of the Ciclovia and Cicloruta users and compared them by using the Pearson χ2 test.
Second, we conducted a principal component analysis to reduce the number of SC variables from the Ciclovia survey by using a varimax (orthogonal) rotation method.45 We added 5 questions that had loadings greater than 0.57 together and labeled that as the SC level. The SC variables did not have linearity in the scatter plot. We subsequently dichotomized the SC variable because the responses were Likert scales and were not considered continuous variables.46,47 We categorized the SC variable into high (scores above the mean of 17.4) and low (scores at or below the mean) levels.
Third, we developed a multivariate logistic regression model to examine the relationship between frequency of participation on the Ciclovia and perceived SC levels. Lastly, we conducted 2 multivariate logistic regression models to examine associations between meeting the PA recommendations and the characteristics of program use or participation.
RESULTS
As shown in Table 1, participants of both programs were primarily men (70.1% in Ciclovia and 87.7% in Cicloruta) in the group aged 30 to 49 years (40.7% in Ciclovia and 49.9% in Cicloruta) who were regular participants of the program (52.2% in Ciclovia and 70.1% in Cicloruta). Cicloruta users were more likely to live in SES categories of 1 and 2 (53.1%), to have lower educational attainment (27% less than middle school), and to not own a car (82.9%). Cicloruta users were also less likely than Ciclovia participants to have incomes of US $488 or more a month (15.4%) and to report being a student (4.1%). Most Ciclovia participants reported living in low- and middle-SES categories of 1 to 4 (92%) and having a low to middle educational attainment (51.1% high school or below). In addition, 66.1% of the Ciclovia participants reported not having a car.
TABLE 1—
Variables | Ciclovia, No. (%) | Cicloruta, No. (%) | χ2 (P) |
Gender | 93.03 (< .001) | ||
Female | 299 (29.9) | 123 (12.3) | |
Male | 701 (70.1) | 877 (87.7) | |
Age, y | 17.1 (.002) | ||
18–29 | 362 (36.2) | 310 (31) | |
30–49 | 407 (40.7) | 499 (49.9) | |
≥ 50 | 231 (23.1) | 191 (19.1) | |
Marital status | 472.6 (< .001) | ||
Single, widowed, or divorced | 533 (53.3) | 956 (95.7) | |
Living with partner or married | 467 (46.7) | 43 (4.3) | |
Education level | 240.3 (< .001) | ||
< middle school | 111 (11.1) | 269 (27.0) | |
Middle or high school | 404 (40.0) | 558 (56.0) | |
University and above | 483 (48.4) | 170 (17.0) | |
Occupationa | 43.8 (< .001) | ||
Not remunerated | 74 (7.4) | 93 (9.3) | |
Remunerated | 816 (82.0) | 865 (86.6) | |
Student | 103 (10.3) | 41 (4.1) | |
Monthly income,b US $ | 166.6 (< .001) | ||
0–195 | 99 (11.0) | 141 (14.8) | |
196–487 | 422 (47.0) | 666 (69.8) | |
≥ 488 | 384 (42.0) | 147 (15.4) | |
Socioeconomic statusc | 144.9 (< .001) | ||
1–2 | 279 (28.0) | 531 (53.1) | |
3–4 | 642 (64.0) | 488 (44.8) | |
5–6 | 77 (8.0) | 21 (2.1) | |
Motorized vehicle at home | 74.2 (< .001) | ||
Yes | 339 (33.9) | 171 (17.1) | |
No | 661 (66.1) | 829 (82.9) | |
Meeting PA recommendation by cycling for transportationd | 572.3 (< .001) | ||
Yes | 174 (17.4) | 705 (70.5) | |
No | 826 (82.6) | 295 (29.5) | |
Meeting PA recommendation in leisure timee | 54.4 (< .001) | ||
Yes | 595 (59.5) | 403 (40.3) | |
No | 405 (40.5) | 597 (59.7) | |
Frequency of use or participation | 72.7 (< .001) | ||
Infrequent | 202 (20.2) | 101 (10.1) | |
Frequent | 276 (27.6) | 198 (19.8) | |
Regular | 522 (52.2) | 701 (70.1) | |
Safety perception (accidents) | 48.5 (< .001) | ||
Unsafe | 166 (16.7) | 295 (29.5) | |
Neutral | 321 (32.2) | 247 (24.7) | |
Safe | 510 (51.2) | 458 (45.8) | |
Security perception (crime) | 99.5 (< .001) | ||
Unsafe | 253 (25.3) | 450 (45.0) | |
Neutral | 323 (32.3) | 297 (29.7) | |
Safe | 424 (42.4) | 253 (25.3) | |
Factors mostly related to safety perception | 132.3 (< .001) | ||
Crime or robbery | 290 (29.2) | 535 (53.6) | |
Traffic, road quality, or vehicles | 703 (70.8) | 463 (46.4) |
Note. PA = physical activity.
Remunerated = employer, employee, or own-account worker; nonremunerated = unpaid family worker or unemployed.
Converted to US$ exchange rate as of 2009.
1 = lowest socioeconomic status; 6 = highest socioeconomic status.
Yes ≥ 150 min; No < 150 min.
Yes = 150 min or more of moderate or 75 min of vigorous activity per week; No < 150 min of moderate or < 75 min of vigorous activity per week.
The PA characteristics (Table 1) differed significantly between the 2 groups, as a majority of Ciclovia participants reported meeting the PA recommendation in LTPA (59.5%), and nearly three quarters of the Cicloruta participants reported meeting the recommendations by cycling for transportation (70.5%).
Perception of safety was higher among Ciclovia users, with 51.2% reporting feeling safe at the Ciclovia with respect to traffic and accidents and 42.4% with respect to crime. By contrast, more Cicloruta users reported feeling unsafe: 29.5% with respect to traffic and 45% with respect to crime.
We obtained similar results during the analysis of SC. The SC perception differences between the 2 programs are presented in Table 2. A higher proportion of Ciclovia participants reported agreeing with the 5 positive components of SC for the Ciclovia program. The participants especially agreed with the following 3 items: the willingness of Ciclovia participants to help each other (62.4%), to get along with each other (61.4%), and to help in specific situations such as fixing a flat tire or helping another participant get up after a fall (73.2%). The only SC component about which more than 50% of the Cicloruta users agreed was the willingness of Cicloruta users to help each other (56.3%).
TABLE 2—
Variables | Ciclovia, No. (%) | Cicloruta, No. (%) | χ2 (P) |
Program participants or users are willing to help each other | 9.1 (.01) | ||
Agree | 623 (62.4) | 563 (56.3) | |
Neutral | 238 (23.8) | 258 (25.8) | |
Disagree | 138 (13.8) | 179 (17.9) | |
Program participants or users get along with each other | 46.2 (< .001) | ||
Agree | 614 (61.4) | 472 (47.2) | |
Neutral | 257 (25.7) | 309 (30.9) | |
Disagree | 129 (12.9) | 218 (21.8) | |
Program participants or users can be trusted | 34.6 (< .001) | ||
Agree | 410 (41) | 319 (31.9) | |
Neutral | 353 (35.3) | 330 (33) | |
Disagree | 236 (23.7) | 351 (35.1) | |
Program participants or users share values | 22.7 (< .001) | ||
Agree | 339 (33.9) | 424 (42.4) | |
Neutral | 339 (33.9) | 296 (29.6) | |
Disagree | 321 (32.2) | 280 (28) | |
Program participants or users would help you to fix a flat tire or to get up if you fell | 481.5 (< .001) | ||
Agree | 730 (73.2) | 280 (28) | |
Neutral | 152 (15.3) | 176 (17.6) | |
Disagree | 115 (11.5) | 544 (54.4) |
Results from the logistic regression analysis examining LTPA and characteristics of Ciclovia users are shown in Table 3. Those who reported regular participation in the program had increased odds of meeting the LTPA recommendation (odds ratio [OR] = 1.7; 95% confidence interval [CI] = 1.1, 2.4), as did those who reported performing vigorous (OR = 4.9; 95% CI = 2.5, 9.2) and moderate (OR = 1.9; 95% CI = 1.2, 3.0) activity during the Ciclovia. Walking or jogging (OR = 1.3; 95% CI = 0.8, 1.9) and using other wheels during the Ciclovia (OR = 1.7; 95% CI = 0.7, 3.5) were also positively associated with meeting the LTPA recommendation; however, the association was not significant.
TABLE 3—
Characteristics Related to Meeting Physical Activity Recommendationa | OR (95% CI) |
Frequency of participationb | |
Regular | 1.7* (1.1, 2.4) |
Frequent | 1.1 (0.8, 1.6) |
Infrequent (Ref) | 1.0 |
Type of activity performed | |
Walking or jogging | 1.3, (0.8, 1.9) |
Other wheels | 1.7 (0.7, 3.5) |
Cycling (Ref) | 1.0 |
Intensity of the activity | |
Vigorous | 4.9* (2.5, 9.2) |
Moderate | 1.9* (1.2, 3.0) |
Low (Ref) | 1.0 |
Safety perception (accidents) | |
Safe | 1.0 (0.6, 1.6) |
Neutral | 0.7 (0.4, 1.5) |
Unsafe (Ref) | 1.0 |
Security perception (crime) | |
Safe | 1.0 (0.6, 1.5) |
Neutral | 1.0 (0.6, 1.4) |
Unsafe (Ref) | 1.0 |
Social capital | |
Frequency of Ciclovia participationa | |
Regular | 2.0* (1.4, 2.8) |
Frequent | 1.7* (1.2, 2.6) |
Infrequent (Ref) | 1.0 |
Note. CI = confidence interval; LTPA = leisure time physical activity; OR = odds ratio. Model adjusted by gender, age, marital status, education level, and socioeconomic status.
150 min of moderate intensity or 75 min of vigorous intensity.
Regular = 4 days per month or always; frequent = 2–3 days per month; infrequent = from at least once a year to once per month.
*P < .001.
Male Cicloruta users (OR = 1.94; 95% CI = 1.2, 3.2), regular Cicloruta users (OR = 10.18; 95% CI = 6.1, 16.8), and Cicloruta users who reported participation in the Ciclovia over the past 12 months (OR = 1.6; 95% CI = 1.1, 2.2) were more likely to meet the PA recommendation by cycling for transportation (Table 4). Similarly, users living in low-SES neighborhoods (OR = 1.5; 95% CI = 0.4, 4.9) and those who did not have a car at home (OR = 1.5; 95% CI = 1.0, 2.3) had an increased likelihood of meeting the recommendation through cycling for transportation; nonetheless, the relationship was not statistically significant.
TABLE 4—
Variable | OR (95% CI) |
Gender | |
Male | 1.9* (1.2, 3.2) |
Female (Ref) | 1.0 |
Socioeconomic statusa | |
1–2 | 1.5 (0.4, 4.9) |
3–4 | 1.3 (0.4, 4.1) |
5–6 (Ref) | 1.0 |
Motorized vehicle at home | |
No | 1.5 (1.0, 2.3) |
Yes (Ref) | 1.0 |
Frequency of Cicloruta useb | |
Regular | 10.2* (6.1, 16.8) |
Frequent | 1.7 (1.0, 3.0) |
Infrequent (Ref) | 1.0 |
Participation in the Ciclovia over the past 12 mo | |
Yes | 1.6* (1.1, 2.2) |
No (Ref) | 1.0 |
Note. CI = confidence interval; OR = odds ratio. Model adjusted by gender, age, marital status, education, and occupation.
1 = lowest socioeconomic status; 6 = highest socioeconomic status.
Regular = 5–7 days per week; frequent = 2–4 days per week; infrequent = from at least once per year to once per week.
*P < .001.
The participants who reported regular Ciclovia participation were more likely to have higher SC perception of the Ciclovia (OR = 2.0; 95% CI = 1.4, 2.8) than infrequent participants of the program (Table 3). Frequent participants were also more likely to have a higher SC perception than infrequent ones (OR = 1.7; 95% CI = 1.2, 2.6).
DISCUSSION
The study shows that in both the Ciclovia and Cicloruta the majority of the Ciclovia participants reported meeting the PA recommendation in LTPA, whereas the Cicloruta participants did so by cycling for transportation. In addition, we found that the Ciclovia participants felt considerably safer about crime than did Cicloruta users. Ciclovia participants had higher SC perceptions than Cicloruta users. As a reflection of equity the 2 programs had broad distributions of participants from the various SES categories,48 particularly from the low- and middle-income groups.
Our findings about the Cicloruta users meeting the PA recommendations were consistent with previous studies in which exclusive bike lanes were positively associated with increased levels of cycling.15,16,49 In addition, previous studies conducted in Bogotá found that those who reported participating in Ciclovia were more likely to use bicycles for transportation.50
Our results also suggest that the Ciclovia program could play an important role in increasing LTPA among Bogotá’s inhabitants, which should be a priority, as currently only 18% meet the recommendation in leisure time.51 Furthermore, our findings strengthen the theory that LTPA and transportation PA have different determinants.52 In this case, the participants of a recreational program showed increased levels of LTPA and the users of a transportation program increased levels of cycling for transportation. Thus, different approaches and policies are essential to promote LTPA and transportation PA.
We acknowledge a possible overlap between the users of the 2 programs; however, it was not greater than 50% in our study as 42.8% of Cicloruta users reported participating in the Ciclovia and 52% of Ciclovia participants reported using the Cicloruta for transportation over the past 12 months. These findings support the hypothesis that these programs are complementary and can contribute to increasing PA levels, regardless of user overlap.
Another key finding of the study was the substantial difference in the safety perceptions of the participants of the 2 programs. Especially important to note is that Cicloruta users had worse crime-related safety perceptions than Bogotá’s inhabitants overall, who already feel pretty unsafe.53 According to a citywide survey, 38% of the Bogotá residents feel unsafe in the city and 32% in their neighborhood.36 Our analysis demonstrates the need of strategies to decrease theft and crime in the Cicloruta, which is the main concern of the users. For instance, more lighting and police presence54 may increase the number of bicycle trips in Bogotá, which is currently only 2.2% of the total number of trips in the city,54 and may also increase the number of Cicloruta users, which is estimated to be 200 000 per day, and, according to our findings, limited to mainly men from the lower SES categories, who may not have other mobility alternatives.55 Other strategies to improve Cicloruta’s traffic safety—such as appropriate traffic signals, better connectivity with TransMilenio (Bogotá’s bus rapid transit system), and education programs for drivers, cyclists, and pedestrians54—have already been recognized. In addition, a qualitative study will help us to learn more about Cicloruta users’ safety concerns and perceptions.
We found that the Ciclovia users, in contrast with Cicloruta users, feel considerably safer in the program (42.4%). Possible explanations include the presence of more people on the streets (instead of cars), and people engaging in positive activities such as active recreation. In addition, it shall be recalled that the Cicloruta data were collected on weekdays (when it is more widely used for transportation), when congestion and stress is higher in the city, whereas the Ciclovia data were collected on Sundays, days in which the program is implemented, and when the city is calmer. Previous research found higher safety perceptions among users of parks and other recreational facilities,25,34 and suggests that the users of these facilities had higher safety and higher SC perceptions.34
We found that Ciclovia participants had higher mean SC level and interesting differences across 3 aspects of SC including shared values (the only aspect that was higher among Cicloruta users), trust, and willingness to help each other (both, particularly willingness to help each other, were higher among Ciclovia users). Perhaps these differences could be explained largely by Bogotá’s insecurity, which may reduce trust even among people in the same networks (in this case Cicloruta or Ciclovia users). The high level of solidarity (willingness to help others in specific situations) observed in participants of Ciclovia, where we found that people feel safer, indicate that such program could enable positive social norms—unlike Cicloruta, whose users’ low perception of solidarity matched their low perception of safety.
Regular users’ higher SC perceptions in Ciclovia are relevant to the inequality and insecurity in Bogotá. City statistics show that 41% of Bogotá residents believed that most inhabitants are not willing to help each other.53 Thus, a program in which citizens perceive higher SC on a weekly basis is a very important finding for the city, because, as other studies have documented, higher SC perception is positively associated with well-being and perceived health.24,56 Furthermore, previous research has shown that high levels of perceived collective efficacy could buffer some of the effects of social inequalities and even decrease crime rates31,33 in given geographic areas, which could be the case every Sunday for the Ciclovia circuit and nearby areas.
Studies have also indicated that SC can encourage positive social norms and minimize antisocial behaviors that make individuals feel unsafe57 and that increased pedestrian traffic can enhance neighborhood safety by generating natural surveillance.58 Such evidence may be an alternative explanation for why Ciclovia users feel safer on the streets closed for the program. Similarly, studies have shown a positive association between SC and PA level,25,34 which indicates that the Ciclovia could also provide environments that encourage Bogotá residents to be more physically active, and thus have better health and quality of life.
Regarding equity, we found that the participants of the Ciclovia and Cicloruta are mainly from the low- and middle-income groups and representative of the city, where 51% of the population live in SES categories 1 and 2, 43.2% live in SES categories 3 and 4, and only 4.2% live in the high-SES categories of 5 and 6.48 A study in the United States showed that lower-income and ethnic minority areas were less likely to have access to recreational facilities where they could be physically active with no extra cost and while not necessarily practicing sports.59 In Bogotá, too, inequalities in the quality and availability of recreational resources have been acknowledged.60,61 The locations of many parks and recreational facilities result in decreased access for those who live in more distant areas.62
Our results suggest that programs such as Ciclovia and Cicloruta may contribute to bridging the access gaps highlighted previously, because more than 50% of Cicloruta users live in the lowest SES categories and more than four fifths do not have a car. Cicloruta represents a key mobility alternative accessible to vulnerable population of the city. In addition, both the Ciclovia and Cicloruta are considerably extensive and distributed throughout the city, connecting socioeconomically diverse neighborhoods, which could contribute to buffer the spatial and access inequalities present in the city. Nonetheless, future studies should include a spatial analysis to assess access.
Our results also underline gender disparities among the participants and users of the Ciclovia and Cicloruta, showing a considerably higher male participation in both cases. This finding is consistent with previous research that indicates low levels of LTPA50 and cycling for transportation among women in Bogota.63 City leaders should consider strategies to encourage women to participate in PA programs such as physical activity classes, which are more attractive and culturally adapted for women.
Moreover, our study shows decision-makers that the implementation of environmental and policy approaches like the Ciclovia and Cicloruta, which were originally originated to promote PA and recreation and to enhance mobility in the city, can have a further impact on many fundamental issues of the city, including safety, equity, and social environments.
Limitations and Strengths
The main limitations of this study are its cross-sectional design and the lack of control groups of nonusers of the 2 programs. In addition, because we had not studied SC in this type of program before, our study relied on self-reported measures adapted from validated international instruments. Future studies of these programs should address these limitations.
Strengths of this study include that it is the first study to our knowledge to illustrate the importance of programs such as Ciclovia and Cicloruta in promoting better social environments and equitable opportunities for recreation, socialization, and PA. The sample size for each survey was representative of the number of users of the program, and this is the first time that the 2 programs have been thoroughly described and compared. For these reasons, this study represents an important effort to better understand these programs and their potential public health outcomes, such as PA and SC, which could be the basis for future studies. Our findings also affirm the importance of implementing recreation, public space usage, and transportation policies, as well as built environment changes such as Ciclovia and Cicloruta in urban settings, to have a population-based impact in various aspects of public health, such as PA, SC, safety, and equity.
Conclusions
Ciclovia and Cicloruta represent 2 policy and environmental approaches that have the potential to equitably promote PA and provide a mobility alternative in complex urban settings such as Bogotá. Specifically, the Ciclovia program also provides enhanced social environments in which participants feel safer. Ciclovia and Cicloruta are important health promotion interventions that should be considered as potential multilevel large-scale approaches to address social and environmental determinants of health-related behavior at the population level. Thus, policymakers should continue to support both programs and evaluate them regularly. Special attention should be devoted to the safety issues surrounding the Cicloruta to increase cycling for transportation.
Acknowledgments
The authors would like to acknowledge the Center for Interdisciplinary Studies in Basic and Applied Complexity (Ceiba, Bogotá, Colombia) and the grant for sustainable transportation from the Universidad de los Andes and Colciencias (grant 1204519 2010) for providing the funding for this study.
The authors greatly appreciate the contributions that students and faculty from the Schools of Medicine and Industrial Engineering at Universidad de los Andes provided for this study, especially Ana Maria Cardona, Pablo Lemoine, Carolina Donado, and Andrea Ramirez. The authors gratefully acknowledge the support provided by Thomas Schmid and Becky Lankenau from the Centers for Disease Control and Prevention World Health Organization Collaborating Center for Physical Activity and Health for this publication.
Human Participant Protection
The study was originally approved by the Research Ethics Committee from Universidad de los Andes in May 2008. The surveys were de-identified and analyzed in a secondary analysis that was approved by the Georgia State University institutional review board on March 28, 2011.
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