Differences in ride-hailing adoption by older Californians among types of locations

IF 1.6 4区 工程技术 Q4 TRANSPORTATION
Manish Shirgaokar, Aditi Misra, Asha Weinstein Agrawal, M. Wachs, B. Dobbs
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引用次数: 12

Abstract

Ride-hailing services such as Lyft and Uber can complement rides offered by family, friends, paid providers, and public transit. To learn why older adults might wish to use ride-hail, we conducted an online survey of 2,917 California respondents age 55 and older. Participants were asked whether they would value four features hypothesized to be benefits of ride-hailing. We specified binary logit models and used market segmentation to investigate whether there were location-based differences in the use of ride-hailing. Our analysis showed that women, city dwellers, persons with disabilities, and those who rely on others for rides were more open to ride-hailing. Women in suburbs or small town/ rural settings were more likely to ride-hail than their male counterparts for reasons of independence, fear of being lost while driving, or getting help with carrying bags. Urban women, in contrast, were less likely than their male counterparts to ride-hail for these reasons. High-income individuals in suburbs or small town/rural locations were more likely to ride-hail than low-income respondents, while high-income urban residents were less likely to ride-hail. Adoption of ride-hailing services and the reasons for doing so showed strong variability by location even among respondents with similar socio-demographic attributes.
不同地区老年加州人使用叫车的差异
Lyft和优步等叫车服务可以补充家人、朋友、付费服务提供商和公共交通提供的服务。为了了解为什么老年人可能希望使用顺风车,我们对2917名55岁及以上的加州受访者进行了在线调查。参与者被问及他们是否会重视四个假设为叫车好处的功能。我们指定了二元logit模型,并使用市场细分来调查网约车的使用是否存在基于位置的差异。我们的分析表明,女性、城市居民、残疾人和那些依赖他人乘车的人对叫车更开放。郊区或小镇/农村地区的女性比男性更容易遭遇冰雹,原因是她们独立、担心开车时迷路或在搬运行李时得到帮助。相比之下,由于这些原因,城市女性比男性女性更不可能遭遇冰雹。郊区或小镇/农村地区的高收入人群比低收入受访者更有可能遭遇冰雹,而高收入城市居民则不太可能遭遇冰雹。叫车服务的采用及其原因显示,即使在具有相似社会人口特征的受访者中,也存在很大的地域差异。
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来源期刊
CiteScore
3.40
自引率
5.30%
发文量
34
审稿时长
30 weeks
期刊介绍: The Journal of Transport and Land Usepublishes original interdisciplinary papers on the interaction of transport and land use. Domains include: engineering, planning, modeling, behavior, economics, geography, regional science, sociology, architecture and design, network science, and complex systems. Papers reporting innovative methodologies, original data, and new empirical findings are especially encouraged.
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