不同时期建成环境对居民小汽车依赖的影响

doi:10.13229/j.cnki.jdxbgxb.20250050

Abstract

Abstract:

To explore the differences in the impact of built environment on residents' car dependence in different periods，a light gradient boosting machine（LightGBM）model was constructed based on the residents' travel survey data of Hangzhou in 2010 and 2023. Nonlinear analysis was carried out using partial dependence plots and shapley additive explanations.The results show that the LightGBM model accurately captured the nonlinear relationship between built environment and residents' car dependence.The built environment has a significant impact on residents' car dependence，and there are significant differences in different periods.Compared with 2010，the impact of built environment on residents' car dependence in 2023 has significantly weakened.The influence of population and road density shows a threshold effect.When the population density of the residential area exceeds 20 000 people/km2 or the road density exceeds 0.04 km/buffer zone，the proportion of car travel among young people increases instead.This indicates that it is necessary to accurately grasp the impact of threshold effect to avoid the waste of construction resources and the negative effects brought by over-construction.

Key words: engineering of communicaiton and transportation system, built environment, car dependence, light gradient boosting machine, threshold effect

CLC Number:

U491

Yi-lin SUN,Yu-kun CAI,Fang-yuan JIA,Yang SHU. Impact of built environment on residents′ car dependence in different periods[J].Journal of Jilin University(Engineering and Technology Edition), 2026, 56(8): 2095-2105.

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属性指标		变量描述	2010年		2023年
属性指标		变量描述	均值/占比	标准差	均值/占比	标准差
小汽车依赖变量	小汽车保有量	家庭小汽车保有数量	0.249	0.431 9	0.230	0.183 3
小汽车依赖变量	小汽车出行占比	一日出行中小汽车出行的占比	0.167	0.362 3	0.205	0.388 7
建成环境变量	人口密度	单位面积内的居住人口数	14 108	10 382.8	11 441	7 957.18
	土地利用混合度	熵指数	0.740	0.234	0.824	0.066 2
	道路密度	单位面积内的道路里程数	0.010 5	0.007 52	0.022 4	0.007 13
	商圈易达性	距离最近商圈的距离	0.396	4.15	0.274	0.642
	公交邻近度	居住地附近的公交地铁站点数	5.543	3.90	4.46	4.08
社会经济变量	性别	0：女性	51.2%（50%）	0.499 9	48.5%（51%）	0.499 9
	性别	1：男性	48.8%（50%）	0.499 9	51.5%（49%）	0.499 9
	年龄	1：20~35岁	27.5%（32%）	14.99	26.9%（24%）	14.21
		2：35~60岁	50.4%（47%）		46.3%（45%）
		3：60岁以上	22.1%（21%）		26.8%（31%）
	家庭收入	1：收入小于1 000	3%	1.229	<0.1%	1.337
		2：收入为1 000~3 000	45.6%		0
		3：收入为3 000~5 000	28.2%		0.2%
		4：收入为5 000~7 000	12.7%		4.1%
		5：收入为7 000~10 000	6.2%		5.5%
		6：收入为10 000~12 000	2.7%		14.7%
		7：收入为12 000~15 000	0.8%		24.9%
		8：收入为15 000~20 000	0.9%		34.9%
		9：收入为20 000~25 000	<0.1%		13.4%
		10：收入为25 000~30 000	0		2.0%
		11：收入为30 000以上	0		0.2%
	学历	1：小学及以下	14.2%	0.647 4	12.0%	0.673 2
		2：中学	55.7%		45.0%
		3：大专、本科及以上	30.1%		43.0%

变量		小汽车保有量/%		小汽车出行占比/%
变量		2010年	2023年	2010年	2023年
社会经济属性	家庭收入	28.89	37.13	16.19	6.52
	年龄	18.52	22.29	31.76	41.46
	学历	11.48	24.39	12.49	5.4
	性别	10.37	0.92	20.7	34.08
建成环境属性	人口密度	16.05	2.54	9.38	3.22
	商圈易达性	5.91	3.17	4.33	1.49
	道路密度	6.21	4.02	4.26	3.66
	公交邻近度	1.41	3.44	0.4	1.71
	土地利用混合度	1.17	2.1	0.49	2.47

Impact of built environment on residents′ car dependence in different periods

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