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Street matters: Linking perceived street environment to older adults’ bike-sharing
Travel Behaviour and Society ( IF 5.1 ) Pub Date : 2025-05-28 , DOI: 10.1016/j.tbs.2025.101071
Tanhua Jin, Xiaobing Wei, Long Cheng, Kailai Wang, Yanan Xin, Frank Witlox
Travel Behaviour and Society ( IF 5.1 ) Pub Date : 2025-05-28 , DOI: 10.1016/j.tbs.2025.101071
Tanhua Jin, Xiaobing Wei, Long Cheng, Kailai Wang, Yanan Xin, Frank Witlox
Shared micromobility has established its role as a viable solution for sustainable transportation worldwide. Despite the widespread discourse on bike-sharing, there remains a paucity of research addressing its utilization among older adults (aged 65 and over). To this end, this research delves into the analysis of docked bike-sharing trip records in Chicago, aiming to understand the impact of land use and perceived street environment (derived from Google Street View Images) on the utilization of bike-sharing services among older adults at both the station and route levels. This study adopts the Extreme Gradient Boosting (XGBoost) method and interprets the results using Shapley Additive explanations (SHAP). Results show that older adults have specific preferences for different land use and perceived street environments when using shared bikes, differing notably from the general user population. Regarding land use effects, older adults are more likely to use shared bikes in areas with high mixed land use and more green spaces. Areas with more cycling lane density also increase older adults’ likelihood to cycle more. For perceived street environments, older adults are prone to streets with high enclosure and low sky openness levels. This research also finds that the route-level perceived street environment has more pronounced marginal effects in comparison to the station-level counterparts. Our findings can provide evidence-based guidance to transportation planners to develop age-friendly transportation systems, thus alleviating the potential inequalities in access to bike-sharing services.
中文翻译:
街道问题:将感知到的街道环境与老年人共享单车联系起来
共享微出行已成为全球可持续交通的可行解决方案。尽管关于共享单车的讨论广泛,但仍然缺乏针对老年人(65 岁及以上)使用共享单车的研究。为此,本研究深入研究了芝加哥停靠共享单车行程记录的分析,旨在了解土地利用和感知的街道环境(源自 Google 街景图像)对老年人在车站和路线层面使用共享单车服务的影响。本研究采用极端梯度提升 (XGBoost) 方法,并使用 Shapley 加法解释 (SHAP) 解释结果。结果表明,老年人在使用共享自行车时对不同的土地利用和感知的街道环境有特定的偏好,这与一般用户群体明显不同。关于土地利用效应,老年人更有可能在土地混合利用率高和绿地较多的地区使用共享自行车。自行车道密度较高的地区也会增加老年人更多地骑自行车的可能性。对于感知到的街道环境,老年人容易看到围合度高、天空开放度低的街道。本研究还发现,与车站级相比,路线级感知的街道环境具有更明显的边际效应。我们的研究结果可以为交通规划者提供循证指导,以开发适合老年人的交通系统,从而减轻获得共享单车服务方面的潜在不平等。
更新日期:2025-05-28
中文翻译:

街道问题:将感知到的街道环境与老年人共享单车联系起来
共享微出行已成为全球可持续交通的可行解决方案。尽管关于共享单车的讨论广泛,但仍然缺乏针对老年人(65 岁及以上)使用共享单车的研究。为此,本研究深入研究了芝加哥停靠共享单车行程记录的分析,旨在了解土地利用和感知的街道环境(源自 Google 街景图像)对老年人在车站和路线层面使用共享单车服务的影响。本研究采用极端梯度提升 (XGBoost) 方法,并使用 Shapley 加法解释 (SHAP) 解释结果。结果表明,老年人在使用共享自行车时对不同的土地利用和感知的街道环境有特定的偏好,这与一般用户群体明显不同。关于土地利用效应,老年人更有可能在土地混合利用率高和绿地较多的地区使用共享自行车。自行车道密度较高的地区也会增加老年人更多地骑自行车的可能性。对于感知到的街道环境,老年人容易看到围合度高、天空开放度低的街道。本研究还发现,与车站级相比,路线级感知的街道环境具有更明显的边际效应。我们的研究结果可以为交通规划者提供循证指导,以开发适合老年人的交通系统,从而减轻获得共享单车服务方面的潜在不平等。