建成环境对居民通勤方式选择的影响——以武汉市城中村为例

doi:10.18306/dlkxjz.2021.12.006

Abstract

Abstract:

As a space with farmers' characteristics and reshaped by mixed classes, urban villages provide a guarantee for the vulnerable groups to integrate into the urbanization system and realize the anti-capital but not anti-market urbanization process. Exploring the impact mechanism of the built environment on residents' commuting mode choices and carrying out inclusive renovation of the built environment of urban villages will be of great significance for addressing the commuting and employment difficulties of vulnerable groups. Based on the location based services (LBS) data of Wuhan City in 2018 and taking the choice of commuting mode as binary dependent variable, this study used the gradient boosting decision tree to explore the nonlinear relationship between the built environment and commuting mode choices of urban village residents and threshold effect. The results show that the residents of urban villages who commute for a long distance generally depend on the public transport system, and the nonlinear influence and threshold effect of the built environment are obvious, which make up for the insufficient interpretability of the traditional linear model. The contribution of bus station accessibility is the largest (19.89%) in prediction, and the thresholds are about 300 m and 1000 m respectively. In urban village reconstruction, bus station within a Euclidean distance of 300 m should be satisfied as far as possible, there must be bus lines within 1000 m, and other variables have similar interpretability. The impact priority level and the most effective spatial attribute range of the built environment obtained from this study will provide a reference for improving the employment and commuting equity of urban village residents and for realizing regional inclusive and coordinated urbanization.

Key words: urban village, commuting mode choices, gradient boosting decision tree, nonlinear relationship, threshold effect

TONG Zhaomin, AN Rui, LIU Yaolin. Impact of the built environment on residents’ commuting mode choices: A case study of urban village in Wuhan City[J].PROGRESS IN GEOGRAPHY, 2021, 40(12): 2048-2060.

Figures/Tables 6

Fig.1

Tab.1

Factors and collinearity diagnosis

指标	变量	变量解释	VIF
密度	路网密度(km/km²)	居民1500 m缓冲区内路网密度	15.387
	居住人口密度(人/m²)	居民1500 m缓冲区内居住人口密度	17.464
	就业人口密度(人/m²)	居民1500 m缓冲区内就业人口密度	38.630
	早高峰人口密度(人/m²)	居民1500 m缓冲区内上午8：00~9：00平均人口密度	42.854
多样性	土地利用混合度	居民所在250 m格网内商服、工业用地、教育用地、公园广场、公共设施用地及住宅用地6类用地的土地利用混合熵指数： $- ∑ m = 1 k p mi ln p mi / ln k$ ,式中： $k$ 为第 $i$ 个格网内用地类型数量, $p mi$ 为第 $i$ 个格网第m类用地占比	2.565
多样性	职住比	居民1500 m缓冲区内就业人口与居住人口比值	1.852
设计	商服用地比例(%)	居民所在250 m格网商服用地占比	1.740
	工业用地比例(%)	居民所在250 m格网工业用地占比	1.510
	居住用地比例(%)	居民所在250 m格网居住用地占比	1.170
	交叉路口个数	居民1500 m缓冲区内岔路口个数	13.484
公共交通可达性	到最近地铁站距离(m)	居民到最近地铁站的欧氏距离	1.891
	到最近公交站距离(m)	居民到最近公交站的欧氏距离	1.610
	公交站点个数(个)	居民1000 m范围内公交站个数	25.054
目的地可达性	到市中心距离(m)	居民到武汉市8个商业中心的欧氏距离,包括中南路商圈、钟家村商圈、徐东商圈、司门口商圈、江汉路、光谷、街道口、建设大道	2.433
社会经济属性	所在地区房价(元/m²)	在武汉主城区范围内使用链家网爬取的房价数据进行克里金插值,将插值结果提取至居民所在地	1.854

Tab.1

Tab.2

Tab.3

Fig.2

Tab.4

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指标	变量	平均值	标准差	VIF	预期影响
密度	路网密度(km/km²)	3.561	1.851	6.868	-
多样性	土地利用混合度	0.294	0.166	2.328	-
多样性	职住比	0.753	0.614	1.473	-
设计	商服用地比例(%)	1.383	3.217	1.551	+
	工业用地比例(%)	3.068	7.133	1.470	-
	居住用地比例(%)	11.916	15.344	1.142	-
	交叉路口个数	27.689	18.880	6.575	+
公共交通可达性	到最近地铁站距离(m)	1963.493	1630.120	1.790	-
公共交通可达性	到最近公交站距离(m)	375.802	323.990	1.240	-
目的地可达性	到市中心距离(m)	7583.092	3369.462	1.801	+
社会经济属性	所在地区房价(元/m²)	12597.075	4361.279	1.142	-

变量	标准化系数	标准误差	显著性	优势比
路网密度	-0.097	0.147	0.508	0.907
土地利用混合度	-0.005	0.040	0.904	0.995
职住比	-0.033	0.034	0.319	0.967
商服用地比例	0.017	0.033	0.609	1.017
工业用地比例	-0.016	0.033	0.631	0.984
住宅用地比例	-0.062	0.029	0.031	0.940
交叉路口个数	0.069	0.092	0.457	1.071
到最近地铁站距离	-0.044	0.037	0.238	0.957
到最近公交站距离	-0.149	0.038	<0.001	0.862
到市中心距离	0.123	0.038	0.001	1.131
所在地区房价	-0.021	0.120	0.858	0.979

Impact of the built environment on residents’ commuting mode choices: A case study of urban village in Wuhan City

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指标	变量	排名	相对重要性/%
密度	路网密度(km/km²)	4	11.00
多样性	土地利用混合度	9	3.24
多样性	职住比	6	8.86
设计	商服用地比例(%)	11	1.78
	工业用地比例(%)	10	3.04
	居住用地比例(%)	7	5.20
	交叉路口个数	8	5.04
公共交通可达性	到最近地铁站距离(m)	3	15.29
公共交通可达性	到最近公交站距离(m)	1	19.89
目的地可达性	到市中心距离(m)	2	17.23
社会经济属性	所在地区房价(元/m²)	5	9.43

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