期刊
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
卷 86, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.trd.2020.102445
关键词
Auto ownership; Local and regional accessibility; Threshold effects; Gradient boosting decision trees (GBDT); Transit
资金
- National Natural Science Foundation of China [41801158, 41529101, 41571153]
- Shenzhen Municipal Basic Research Project (Free Exploration) [JCYJ20180302153551891]
- Shenzhen Municipal Natural Science Foundation [JCYJ20190808173611341]
Using a 2017 travel survey dataset and crawled heatmaps and point-of-interests (POIs) data in Beijing, China, this study adopts a gradient boosting decision trees (GBDT) algorithm to measure the relative importance and nonlinear effects of local accessibility, regional accessibility, and transit access on household car ownership. Results show that local accessibility measures such as retail and service density and job density play a more critical role in predicting auto ownership than transit access, while regional access to city centers is the least important. Thus, for reducing car ownership, planning efforts should emphasize improving local accessibility through planning pedestrian-scale neighborhoods (i.e., life-circles). Moreover, nonlinear associations between accessibility measures and car ownership are common. The results suggest that within the 15-min neighborhood life circle, there should be 65-145 retail and service facilities per km(2) and block size should be within 150-200 m. Furthermore, residential neighborhoods should be within 400 m of bus stops and 1200 m of metro stations. These findings provide meaningful policy implications for planning pedestrian-scale neighborhoods recently advocated in Chinese cities.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据