Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto
Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto
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DOI：
10.1007/s11116-015-9669-z
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发表时间：
2017-05-01
期刊：
影响因子：
4.3
通讯作者：
Habib, Khandker Nurul
中科院分区：
文献类型：
--
作者：
El-Assi, Wafic;Mahmoud, Mohamed Salah;Habib, Khandker Nurul
自行车共享多伦多是加拿大第二大公共自行车共享系统。它提供了一个独特的案例研究，因为它是少数几个位于北美相对寒冷的环境中的自行车共享计划之一，但全年都在运营。本研究利用全年历史出行数据，分析了影响多伦多自行车共享出行量的因素。全面的空间分析提供了关于社会人口属性、土地利用和建成环境以及不同天气措施对共享单车骑行者影响的有意义的见解。经验模型还揭示了路网结构(交叉口密度和站点空间分布)对共享单车需求的显著影响。自行车基础设施(自行车道、小路等)的影响研究发现，这也是增加共享单车需求的关键。共享单车出行行为的时间变化也被使用多水平框架进行了研究。这项研究显示，气温、土地利用和自行车共享出行活动之间存在显著的相关性。这篇论文的发现可以转化为指导方针，目的是增加城市中心的自行车共享活动。
Bike Share Toronto is Canada's second largest public bike share system. It provides a unique case study as it is one of the few bike share programs located in a relatively cold North American setting, yet operates throughout the entire year. Using year-round historical trip data, this study analyzes the factors affecting Toronto's bike share ridership. A comprehensive spatial analysis provides meaningful insights on the influences of socio-demographic attributes, land use and built environment, as well as different weather measures on bike share ridership. Empirical models also reveal significant effects of road network configuration (intersection density and spatial dispersion of stations) on bike sharing demands. The effect of bike infrastructure (bike lane, paths etc.) is also found to be crucial in increasing bike sharing demand. Temporal changes in bike share trip making behavior were also investigated using a multilevel framework. The study reveals a significant correlation between temperature, land use and bike share trip activity. The findings of the paper can be translated to guidelines with the aim of increasing bike share activity in urban centers.