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. 2022 Jan 17;50(3):811–835. doi: 10.1007/s11116-021-10262-9

Table 2.

Results of Exploratory Factor Analysis (EFA)

Code Attitudinal statements Loadings of factors extracted
Convenience Theft Sexual harassment risk Bus staff behaviour Reliability & health Image & status Covid-19 risk
Psychological variables
CON1 I have to walk on a long way to access bus stops from/to home/university 0.7401
CON2 I usually have to wait too long at bus stops 0.8118
CON3 Changes in bus operations are not updated and communicated promptly 0.5479
CON4 It is hard to find information on bus operations 0.8265
CON5 I have to wake up too early to catch a bus to attend my classes on time 0.8209
PTR1 I am concerned about losing my belongings at bus stops 0.9243
PTR2 I am concerned about losing my belongings while getting on and off 0.9206
PTR3 I am concerned about losing my belongings onboard 0.8860
PSR1 I am concerned about sexual harassment at bus stops 0.8527
PSR2 I concerned about sexual harassment while getting on and off 0.8411
PSR3 I am concerned about sexual harassment on board 0.8790
PER1 Drivers/ticket conductors do not pay enough attention to their uniform 0.8317
PER2 Drivers/ticket conductors are often distracted (chatting, using cell phone) 0.8691
PER3 Drivers/ticket conductors are not courteous to passengers 0.8433
HEA1 I usually feel tired after trips from/to school 0.7889
REL1 Buses usually run behind schedule 0.8110
REL2 There are often differences between the posted and the actual bus schedule 0.8189
SV1 Buses are responsible for congestion 0.7959
SV2 Buses are responsible for pollution 0.7027
SV3 Buses are responsible for collisions and accidents 0.7951
Disruption*
PIR1 The risk of Covid-19 community infection is high 0.7505
PIR1 The risk of Covid-19 infection is high on public transport 0.8579
PIR1 I may catch Covid-19 if the bus carries infected passengers 0.7834

Items measured on a 7-point Likert scale; Number of observations: 594

Bartlett’s Test of Sphericity: chi-square = 7816.048; degrees of freedom = 253; p-value = 0.000 (H0: variables are not intercorrelated);

Kaiser–Meyer–Olkin Measure of Sampling Adequacy = 0.797; Method: principal-component factors with eigenvalue > 1; Rotation: orthogonal oblimin (Kaiser on);

Retained factors = 7; Variance explained by six factors extracted: 0.7406; Score estimation method: Regression

*The other disruptor, the launch of electric buses, was measured through a binary question and therefore is not included here