A personalized spatial cognitive road network for agent-based modeling of pedestrian evacuation simulation: a case study in Hong Kong

Figures & data

Table 1. Dummy variables for factor age group

Age group	DA1	DA2	DA3
<18	1	0	0
18–30	0	1	0
30–60	0	0	1
>60	0	0	0

Figure 1. Spatial distribution map of survey forms.

Table 2. Gender

	Number (%)
Male	346 (50.88)
Female	334 (49.12)

Table 3. Age group

	Number (%)
<18	109 (16.03)
18–30	330 (48.53)
30–60	218 (32.06)
>60	23 (3.38)

Table 4. Education level

	Number (%)
Secondary or below	327 (48.09)
Bachelor	242 (35.59)
Master or above	218 (16.32)

Table 5. Residence zone

	Number (%)
Inside the district	105 (15.44)
Outside the district but in Hong Kong	482 (70.88)
Outside Hong Kong	93 (13.68)

Table 6. Visiting frequency per month

	Number (%)
Never	85 (12.50)
1–4	342 (50.29)
4–10	166 (24.41)
>10	87 (12.79)

Table 7. Road choice inclination

	Number (%)
Least crowded	132 (19.41)
Shortest route	137 (20.15)
Most familiar	321 (47.21)
Used when arrive	92 (13.53)

Figure 2. Road grading chart.

Table 8. Dummy variables for independent predictors

Independent predictor	Dummy variables
Gender	DG1
Education level	DE1, DE2
Residence zone	DR1, DR2
Visiting frequency	DV1, DV2, DV3

Table 9. Cross tabulation for factor gender of Canton Road

	Gender
	Male	Female	Total
Canton Road
No	286	262	548
Yes	60	72	132
Total	346	334	680

Table 10. Chi-square test for factor gender of Canton Road

	Value	df	Significant (two-sided)
Pearson's χ^2	1.931	1	0.165

Table 11. Chi-square test for other factors of Canton Road

	Value	df	Significant (two-sided)
Age group	8.150	3	0.043
Education level	7.708	2	0.021
Residence zone	1.971	2	0.373
Visiting frequency	10.862	3	0.012

Table 12. Logistic regression result

	β	SE	df	Significant	Exp(β)
Step 1^a
Visiting frequency			3	0.016
Visiting frequency (1)	–1.181	0.446	1	0.008	0.307
Visiting frequency (2)	–0.444	0.284	1	0.118	0.641
Visiting frequency (3)	–0.031	0.305	1	0.918	0.969
Constant	–1.083	0.247	1	0.000	0.338
Step 2^b
Education level			2	0.028
Education level (1)	–0.668	0.268	1	0.012	0.513
Education level (2)	–0.252	0.269	1	0.349	0.777
Visiting frequency			3	0.019
Visiting frequency (1)	–1.184	0.448	1	0.008	0.306
Visiting frequency (2)	–0.444	0.286	1	0.121	0.642
Visiting frequency (3)	–0.054	0.307	1	0.861	0.948
Constant	–0.688	0.317	1	0.030	0.503
Notes: ^aVariable entered in step 1: visiting frequency.
^bVariable entered in step 2: education level.

Table 13. Hosmer–Lemeshow statistic test

Step	χ^2	df	Significant
1	0.000	2	1.000
2	1.415	7	0.985

Table 14. Regression coefficients for all roads

Road name	β0	DG1	DA1	DA2	DA3	DE1	DE2	DR1	DR2	DV1	DV2	DV3
Ashley	–4.095	–	–	–	–	–	–	–	–	–	–	–
Austin	–4.566	–	–	–	–	–	–	–	–	–	–	–
Avenue of Stars	–2.058	–	–	–	–	–	–	–1.433	0.702	–	–	–
Cameron	–2.773	–	–	–	–	–	–	–	–	–	–	–
Canton	–0.688	–	–	–	–	–0.668	–0.252	–	–	–1.184	–0.444	–0.054
Carnarvon	–4.205	–	–	–	–	–	–	–	–	–	–	–
Chatham	–3.332	–	–	–	–	–	–	–	–	–0.393	0.585	–3.332
Gateway	–5.826	–	–	–	–	–	–	–	–	–	–	–
Granville	–3.446	–	–	–	–	–	–	–	–	–	–	–
Haiphong	–4.522	–	–	–	–	–	–	2.474	1.844	–	–	–
Hankow	–38.842	–	–0.266	17.322	18.221	–	–	18.73	17.52	–	–	–
Hanoi	–5.826	–	–	–	–	–	–	–	–	–	–	–
Hillwood	–20.4	–16.359	–	–	–	–	–	–	–	17.943	0.111	0.039
Humphreys	–5.419	–	–	–	–	–	–	–	–	–	–	–
Kimberley	–3.862	–	–	–	–	–	–	–	–	–	–	–
Kowloon Park Dr.	–4.566	–	–	–	–	–	–	–	–	–	–	–
Lock	–5.826	–	–	–	–	–	–	–	–	–	–	–
Middle	–3.584	–	–	–	–	1.002	–0.089	–	–	–	–	–
Mody	–2.313	–	–	–	–	–1.045	–1.546	–	–	–	–	–
Nathan	0.023	–	–	–	–	–	–	–	–	–1.485	–0.475	0.049
Observatory	–21.203	–	–	–	–	–	–	17.261	15.027	–	–	–
Peking	–3.266	–	–	–	–	–	–	–	–	–	–	–
Prat	–6.521	–	–	–	–	–	–	–	–	–	–	–
Salisbury	–1.855	–	–	–	–	–	–	0.447	1.122	–0.844	–0.627	–0.08
Science Museum	–5.826	–	–	–	–	–	–	–	–	–	–	–
Note: Cells of null values represented the factors were not included in the regression model.

Table 15. Hosmer–Lemeshow test for all roads

Road name	χ^2	df	Significant
Ashley	–	–	–
Austin	–	–	–
Avenue of Stars	0.000	1	1.000
Cameron	–	–	–
Canton	1.415	7	0.985
Carnarvon	–	–	–
Chatham	0.000	2	1.000
Gateway	–	–	–
Granville	–	–	–
Haiphong	0.000	1	1.000
Hankow	0.645	4	0.958
Hanoi	–	–	–
Hillwood	0.000	5	1.000
Humphreys	–	–	–
Kimberley	–	–	–
Kowloon Park Dr.	–	–	–
Lock	–	–	–
Middle	0.000	1	1.000
Mody	0.000	1	1.000
Nathan	0.000	2	1.000
Observatory	0.000	1	1.000
Peking	–	–	–
Prat	–	–	–
Salisbury	0.816	4	0.936
Science Museum	–	–	–
Note: Cells of null values represented the test were not available since no factor was included in the regression model.