考虑空间异质性的建成环境对通勤方式选择的影响

doi:10.13229/j.cnki.jdxbgxb20181087

Abstract

Abstract:

In order to explore the influences of built environment characteristics on commuting mode choice, a multilevel binary logistic model considering spatial heterogeneity is establsihed, and Changchun is chosen as the empirical case in this study. The influences of the variables at individual level and traffic analysis zone level are considered simultaneously in the model. The model parameters are calibrated using HLM software. The result shows that the spatial heterogeneity of commuting mode choice significantly exists. At the individual level, gender, age, education, hukou, household income, household car ownership and commuting distance have significant influences on commuting mode choice. At the traffic analysis zone level, residents living in areas with higher land use mix, transit station and intersection density have a lower probability of commuting by car. Additionally, residents living farther from Central Business District (CBD) tend to have a higher probability of driving to work.

Key words: engineering of communications and transportation system, built environment, commuting mode choice, spatial heterogeneity, multilevel logistic model

CLC Number:

U491

Chao-ying YIN,Chun-fu SHAO,Xiao-quan WANG,Zhi-hua XIONG. Influence of built environment on commuting mode choice considering spatial heterogeneity[J].Journal of Jilin University(Engineering and Technology Edition), 2020, 50(2): 543-548.

Figures/Tables 4

Table 1

Fig.1

Fig.2

Table 2

References 14

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类别	变量	变量描述	均值	标准差
个体层	性别	1=男；0=女	0.580	0.493
	年龄	连续变量	37.120	10.155
	教育水平	1=大学及以上；0=大学以下	0.350	0.478
	户口类型	1=本地户口；0=非本地户口	0.940	0.230
	家庭收入	收入1：1=小于等于2万元；0=其他收入2：1=大于10万元；0=其他	0.030 0.130	0.177 0.340
	家庭小汽车拥有	连续变量	0.260	0.475
	通勤距离	连续变量	5.625	10.266
	通勤方式	1=小汽车出行；0=其他出行方式	0.160	0.367
交通小区层	土地利用混合度	交通小区11类兴趣点的混合程度	0.589	0.066
	公共交通站点密度	公共交通站点数量/交通小区面积	10.547	5.242
	到CBD距离	交通小区质心到CBD的距离	5.059	2.446
	道路交叉口密度	道路交叉口数量/交通小区面积	29.424	27.220

类别	变量名称	单层模型		多层模型
类别	变量名称	系数	P	系数	P
个体层	性别	1.936	0.000	1.248	0.000
	年龄	0.102	0.061	0.177	0.000
	教育水平	0.859	0.000	1.229	0.000
	户口类型	0.118	0.612	0.296	0.031
	家庭规模	0.058	0.267	0.047	0.231
	家庭收入1	-0.013	0.087	-0.111	0.074
	家庭收入2	0.054	0.089	0.132	0.082
	家庭小汽车拥有	6.487	0.000	1.443	0.000
	通勤距离	0.015	0.003	0.008	0.000
交通小区层	土地利用混合度	-1.265	0.069	-2.125	0.056
	公共交通站点密度	-0.015	0.060	-0.025	0.071
	到CBD距离	0.014	0.171	0.312	0.066
	道路交叉口密度	-0.001	0.096	-2.005	0.034
AIC值		3 189.608		3 014.336

Influence of built environment on commuting mode choice considering spatial heterogeneity

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