Promoting pedestrian safety in Bangladesh: Identifying factors for drivers’ yielding behavior at designated crossings using behavior change theories

Figures & data

Figure 1. Combined model from Fylan (2017).

Figure 2. Thematic coding framework.

Table 1. Drivers’ yield and near-crash frequency in different socioeconomic conditions.

Socioeconomic variable	Class (sample)	Drivers yielding frequency (frequent or always) %	Near-crash frequency (infrequent) %
Education level	Upto secondary education (n = 164)	50.60 % (83)	57.92 % (95)
	College/ University (n = 37)	45.94 % (17)	75.67 % (28)
Vehicle type	Bus (n = 96)	50.00 % (48)	58.33 % (56)
	Car (n = 56)	57.14 % (32)	73.21 % (41)

Table 2. Stepwise regression model with predictors.

Step	Predictor(s)	R^2	Adj. R^2	F	p-value
1	AM2	0.202	0.198	50.682	0.000
2	AM2, PO2	0.278	0.271	38.351	0.000
3	AM2, PO2, RM1	0.335	0.325	33.245	0.000
4	AM2, PO2, RM1, EF	0.373	0.360	29.273	0.000
5	AM2, PO2, RM1, EF, AM3	0.395	0.380	25.636	0.000
6	AM2, PO2, RM1, EF, AM3, FE	0.418	0.400	23.332	0.000
7	AM2, PO2, RM1, EF, AM3, FE, SO3	0.432	0.412	21.094	0.000
8	AM2, PO2, RM1, EF, AM3, FE, SO3, SO1	0.451	0.428	19.786	0.000

Table 3. Summary coefficients with significance.

Items	Standardized coefficients (β)	t-value	p-value	95% CI range
AM2	0.139	2.009	0.046	0.003-0.344
SO1	−0.213	−2.543	0.012	−0.439-(-0.055)
AM3	0.216	3.373	0.001	0.087-0.332
EF	0.190	3.395	0.001	0.071-0.286
PO2	0.219	3.935	0.000	0.118-0.356
RM1	0.244	4.208	0.000	0.171-0.473
SO3	0.288	3.388	0.001	0.137-0.518
FE	0.152	2.788	0.006	0.052-0.306

Table 4. Summary of ANOVA.

	Sum square	df	Mean square	F	p-value
Total	163.787	201.000	0.000	0.000	0.000
Error	89.985	193.000	0.466	0.000	0.000
Regression	73.802	8.000	9.225	19.786	0.000

Fylan F. 2017. Using Behaviour Change Techniques: guidance for the road safety community. RAC Foundation Perth, Australia.

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Data availability statement

Data will be made available on request.