共享单车使用权的公平性分析——以纽约市为例

R. Javid, E. Sadeghvaziri
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引用次数: 3

摘要

本研究调查了共享单车计划的使用与不同社会人口信息的社区之间的关系。本研究调查了纽约市2023年的Citi Bike共享单车数据。分析使用ArcGIS Pro中的广义线性回归(GLR)。结果显示,在纽约市收入较高、工人较多、男性较多、人口密度较高、非裔美国人和西班牙裔人口较少的社区,Citi Bike共享单车的使用人数有所增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Equity Analysis of Bikeshare Access: A Case Study of New York City
This study investigates the association between bikeshare program usage and neighborhoods with different socio-demographic information. This study investigated 2023 Citi Bike bikeshare data in New York City. For the analysis, Generalized Linear Regression (GLR) in ArcGIS Pro was used. The results revealed that Citi Bike bikeshare ridership increases in neighborhoods with higher income, more workers, more males, higher density, and lower African American and Hispanic population in New York City.
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