研究共享单车站点容量的社会人口决定因素

IF 3.3 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures Pub Date : 2024-08-12 DOI:10.1016/j.sftr.2024.100274

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引用次数: 0

摘要

本研究采用负二项模型来研究共享单车站点容量的社会人口决定因素。研究使用了智能定位数据库中的社会人口数据和美国 7000 多个共享单车站点的数据。结果显示，站点所在城市、无车家庭、18-64 岁工人比例、汽油价格、白种人口、未受保护土地上的住宅总密度、交叉路口密度以及中低收入工人与站点容量的增加有关。相反，车站容量随着车辆行驶里程和高收入工人数量的增加而减少。研究结果对规划者和运营商改善共享单车运营至关重要。

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Examining social-demographic determinants of bike-sharing station capacity

This study applied Negative Binomial models to examine the social-demographic determinants of bike-sharing station capacity. It used social-demographic data from Smart Location Database and over 7,000 bike-sharing stations located in the United States. Results revealed that the station's city, households with no cars, the percentage of workers aged 18–64, gas prices, the Caucasian population, gross residential density on unprotected land, intersection density, and low to medium-earning workers are associated with the increase in station capacity. Contrarily, station capacity decreased with vehicle miles traveled and the number of high-earning workers. Findings are crucial to planners and operators in improving bike-sharing operations.

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来源期刊

Sustainable Futures Social Sciences-Sociology and Political Science

CiteScore

9.30

自引率

1.80%

发文量

审稿时长

71 days

期刊介绍： Sustainable Futures: is a journal focused on the intersection of sustainability, environment and technology from various disciplines in social sciences, and their larger implications for corporation, government, education institutions, regions and society both at present and in the future. It provides an advanced platform for studies related to sustainability and sustainable development in society, economics, environment, and culture. The scope of the journal is broad and encourages interdisciplinary research, as well as welcoming theoretical and practical research from all methodological approaches.