不同住房类型空间单元的建成环境对通勤方式选择的影响分析

doi:10.13229/j.cnki.jdxbgxb.20230387

Abstract

Abstract:

In order to explore the impact of built environment on residents' commuting mode choice under the mixed distribution of different planning unit groups， a mixed logit model considering the heterogeneity of housing type spatial units was constructed. At the same time， the impact of built environment characteristics at both individual and planning spatial unit levels on commuting behavior was considered. An empirical study was conducted using sample data from a survey of residents' transportation behavior and willingness in Shenzhen. The results show that the mixed logit model has better goodness of fit than the multinomial logit model. If the differences in housing spatial unit groups are ignored， the degree of influence of land use mix on mixed housing spatial units will be underestimated by 18.5%. The degree of influence of rail transit stations on affordable housing， small property rights housing and resettlement indicator housing spatial units will be overestimated by 6.3%， 5.4% and 4.5%， respectively， while the influence of bus stop density on resettlement indicator housing spatial units will be underestimated by 4.8%. Public service facilities have the greatest empirical sensitivity to commercial housing （3.2%） and small property rights housing spatial units （2.8%）， while bus stop density has the greatest empirical sensitivity to affordable housing （2.6%） and resettlement indicator housing （2.0%）， and distance to the nearest rail transit station has the greatest empirical sensitivity to small property rights housing spatial units （2.1%）. Therefore， it is necessary to combine the impact and sensitivity differences of different housing spatial units' built environment， and accurately guide residents' green commuting through improving high-efficiency housing spatial units' built environment.

Key words: engineering of communications and transportation system, built environment, commuting mode choice, housing space units, mixed Logit model

CLC Number:

U491

Jiao-rong WU,Xu-dong LIU. Analysis of influence of built environment of spatial units of different housing types on commuting mode choice[J].Journal of Jilin University(Engineering and Technology Edition), 2025, 55(2): 554-565.

Figures/Tables 8

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变量类别	变量	变量符号	变量描述
方案变量	经济成本	Cost	出行的固定经济成本和使用经济成本
方案变量	出行时间	Time	出行耗时
社会经济属性变量	性别	Gender	1=男；0=女
	年龄	Age	1=30岁以上；2=30岁及以下
	学历	Edu	1=初中及以下学历（参考变量）；2=高中和中专；3=大专；4=本科及以上
	户收入	Income	1=收入大于等于25万元/年；0=收入小于25万元/年
	家庭拥车数	Car	家庭拥车数量
建成环境变量	人口密度	Pop	空间单元人口密度/（万人·km^-2）
	公共服务设施密度	POI	空间单元餐饮、住宿、购物、生活服务、运动场馆、医疗设施POI密度/（百个·km^-2）
	土地混合度	Landmix	空间单元的土地利用混合度（0~1）
	道路网密度	R_density	空间单元路网密度/（km·km^-2）
	到市中心距离	D_center	到深圳市民中心的路网距离/km
	到最近公交站距离	D_bus	住房空间单元内居民的住址到最近公交站的路网距离/km
	公交站点密度	Bus_density	空间单元公交站点密度/（个·km^-2）
	到最近地铁站距离	D_subway	住房空间单元内居民的住址到最近地铁站的路网距离/km

住房空间单元	定义	比例/%
市场商品房空间单元	市场商品房指经政府有关部门批准后，房地产公司开发经营，建成后用于市场出售或出租的房屋。标准规划单元市场商品房比例超过60%，定义为市场商品房空间单元	29.1
保障性住房空间单元	政府为中低收入住房困难家庭所提供的限定标准、限定价格或租金的住房。标准规划单元保障性住房比例超过60%，定义为保障性住房空间单元	1.8
小产权房空间单元	小产权房是指在农村集体土地上建设的房屋，未办理相关证件，未缴纳土地出让金等费用，其产权证由乡政府或村颁发。标准规划单元小产权房比例超过60%，定义为小产权房空间单元	31.6
回迁指标房空间单元	尚未与开发商签署回迁协议的待迁房屋，购买后经村股份公司直接与开发商签约，可避税且不受限购令、限售令影响。标准规划单元回迁指标房比例超过60%，定义为回迁指标房空间单元	7.6
混合住房空间单元	标准规划单元任意住房类型比例未超过60%，视作混合住房空间单元	29.7

变量（参考分类：私人小汽车）		全空间单元	市场商品房空间单元	保障性住房空间单元	小产权房空间单元	回迁指标房空间单元	混合住房空间单元
方案变量	小汽车时间	-0.199**	-0.178**	-0.168*	-0.192**	-0.171*	-0.214**
	公交时间	-0.038**	-0.040*	-0.060*	-0.035*	-0.088**	-0.035**
	步行时间	-0.187**	-0.209**	-0.201**	-0.179**	-0.234**	-0.179**
	参数分布标准差	0.087	0.097	0.094	0.080	0.104	0.079
	电动自行车时间	-0.242**	-0.288**	-0.383**	-0.249**	-0.280**	-0.221**
	参数分布标准差	0.109	0.123	0.174	0.113	0.121	0.093
	费用	-0.081**	-0.071**	-0.092**	-0.076**	-0.112**	-0.086**
	参数分布标准差	0.043	0.033	0.056	0.039	0.061	0.045
公共交通	性别	-1.888**	-1.776**	-1.509**	-2.034**	-1.799**	-1.682**
	年龄	-1.102**	-1.101**	-0.743**	-1.417**	-1.261**	-1.013**
	学历（参考变量：初中及以下）
	高中和中专	-0.726**	-0.662*	-	-	-	-
	大专	-0.859**	-1.101**	-	-	-	-
	本科及以上	-0.909**	-1.091**	-	-	-	-
	户收入25万元/年以上	-0.696**	-0.790*	-	-	-0.667*	-
	家庭车辆数	-1.170**	-1.490**	-0.753*	-1.121**	-1.127*	-1.117**
	到深圳市民中心的距离/km	-0.033**	-0.019**	-0.133**	-0.049*	-0.088**	-0.029**
	到最近轨道站点的距离/km	-0.086**	-0.091**	-0.151*	-0.141**	-0.132*	-0.060*
	空间单元人口密度/（万人·km^-2）	0.188**	0.255*	0.339*	0.261**	0.226*	0.153**
	公共服务设施密度/（百个·km^-2）	-	-	-	-	-	-
	到最近公交站点的路网距离/km	-0.084*	-0.081*	-0.139*	-0.115*	-0.101*	-0.078*
	公交站点密度/（个·km^-2）	0.022*	0.012*	0.024*	0.034*	0.069*	0.064**
	路网密度/（km·km^-2）	-	-	-	-	-	-
	土地利用混合度	-	-	-	-	-	-
	常数	3.810**	4.839**	3.843**	2.896**	8.199**	2.434**

Analysis of influence of built environment of spatial units of different housing types on commuting mode choice

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