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首页> 外文期刊>Journal of Transport Geography >An alternative to slow transit, drunk driving, and walking in bad weather: An exploratory study of ridesourcing mode choice and demand
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An alternative to slow transit, drunk driving, and walking in bad weather: An exploratory study of ridesourcing mode choice and demand

机译:替代慢速交通,酒后驾车和恶劣天气中的步行:对乘车出行方式选择和需求的探索性研究

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Companies providing ridesourcing, or the use of mobile phone apps to request rides from drivers of privately owned vehicles, have expanded rapidly in many cities in recent years. To shed light on this phenomenon, this paper reports an exploratory study of ridesourcing trip patterns and mode choice in Washtenaw County, Michigan, USA, which obtained a convenience sample of 167 respondents (reporting 192 trips) via geographically targeted online and offline ads. Consistent with previous empirical studies, ridesharing users are younger and a greater percentage are female than the the general public, and most trips occur in a small number of high density block groups. When asked what other options were available for ridesourcing trips, respondents reported transit (63%), private vehicles (32%), walking (32%) and bicycling (18%). Specific reasons for choosing ridesourcing instead of these options included the frequency of transit, alcohol use for driving, and weather and distance for walking and biking. A multivariate analysis found variables related to greater ride sourcing use for a block group included job density, jobs-housing balance, bar and restaurant density, and presence of households without vehicles. The paper demonstrates the potential of survey data to generate greater geographic insights into ridesourcing use, as well as the potential for extending established travel-behavior research approaches to ridesourcing.
机译:近年来,在许多城市,提供乘车服务或使用手机应用程序请求私家车驾驶员乘车的公司迅速发展。为了阐明这种现象,本文报告了一项在美国密歇根州华盛顿州的乘车出行方式和模式选择的探索性研究,该调查通过针对地理位置的在线和离线广告获得了167名受访者的便利样本(报告了192次旅行)。与以前的经验研究一致,乘车共享的使用者比普通公众年轻,女性比例更高,大多数出行都发生在少数高密度街区人群中。当被问及其他可供选择的出行方式时,受访者称过境(63%),私家车(32%),步行(32%)和骑自行车(18%)。选择骑行出行而不是这些选择的特定原因包括交通频率,酒后驾车以及天气和步行和骑自行车的距离。一项多变量分析发现,与一个街区组更多的骑行采购使用相关的变量包括工作密度,工作住房平衡,酒吧和餐厅密度以及没有车辆的家庭的存在。本文展示了调查数据在产生对骑行服务使用的更大地理洞察力方面的潜力,以及将已建立的出行行为研究方法扩展到骑行服务的潜力。

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