ABSTRACT

Over the past 20 years, shared-mobility services have become important transportation options, as they provide on-demand, door-to-door mobility without requiring vehicle ownership. Although low-income communities may benefit especially from the services due to their lower vehicle ownership and high dependency on public transit, scant research has been conducted exploring how frequently these individuals utilize the shared-mobility programmes. This study develops a mathematical model based on Zero Inflated Negative Binomial Regression to understand the effects of individuals’ sociodemographic characteristics, financial status, and travel behaviours on car-sharing and ride-hailing usage. The model outcomes indicate that the individuals experiencing financial burden are more likely to use car-sharing services while those with a higher income tend to use ride-hailing. Ride-hailing tends to serve those who have lower miles driven or those who use public transit. Results show that car-sharing and ride-hailing could provide create synergetic impacts to attract more riders to the shared-mobility services.

摘要

在过去的20年中，共享出行服务已成为重要的交通选择，因为它们可以按需，门到门出行，而无需拥有车辆。尽管低收入社区由于其较低的车辆拥有量和对公共交通的高度依赖而可能特别从服务中受益，但已经开展了很少的研究来探讨这些人多久利用共享出行计划。这项研究建立了一个基于零膨胀负二项式回归的数学模型，以了解个人的社会人口统计学特征，财务状况和出行行为对乘车和乘车使用的影响。模型结果表明，承受经济负担的个人更可能使用汽车共享服务，而收入较高的个人则倾向于使用乘车服务。乘车服务通常是为那些行驶里程较低的人或使用公共交通的人提供服务。结果表明，汽车共享和叫车服务可产生协同效应，以吸引更多车手使用共享出行服务。