Investigating emerging transportation services is critical to forecasting mode choice and providing appropriate infrastructure. One such infrastructure is parking, as parking demand may shift with the availability of ride-hailing services. This study uses ethnographic methods—complemented with passenger surveys collected when driving for Uber and Lyft in the Denver, Colorado, region—to gather quantitative and qualitative data on ride-hailing and analyze the impacts of ride-hailing on parking, including changes in parking demand and parking as a reason to deter driving. The study also examines relationships between parking time and cost. This includes building a classification tree-based model to predict the replaced driving trips as a function of car ownership, destination land type, parking stress, and demographics. The results suggest that: i) ride-hailing is replacing driving trips and could reduce parking demand, particularly at land uses such as airports, event venues, restaurants, and bars; ii) parking stress is a key reason respondents chose not to drive; and iii) respondents are generally willing to pay more for reduced parking time and distance. Conversely, parking supply, time, and cost can all influence travel behavior and ride-hailing use. This study provides insight into potential benefits and disadvantages of ride-hailing as related to parking.

中文翻译：

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冰雹对停车的影响（反之亦然）

调查新兴的运输服务对于预测模式选择和提供适当的基础设施至关重要。这样的基础设施之一就是停车，因为停车需求可能随着乘车服务的可用性而变化。这项研究使用人种学方法，结合在科罗拉多州丹佛市为Uber和Lyft驾车时收集的乘客调查数据，收集了有关打车的定量和定性数据，并分析了打车对停车的影响，包括停车变化需求和停车是阻止驾驶的原因。该研究还研究了停车时间与成本之间的关系。这包括建立基于分类树的模型，以根据汽车拥有权，目的地土地类型，停车压力和人口统计来预测替换的行驶行程。结果表明：i）叫车服务正在取代驾车旅行，并且可以减少停车需求，尤其是在机场，活动场所，餐厅和酒吧等土地用途上；ii）停车压力是受访者选择不开车的关键原因；iii）受访者通常愿意为减少停车时间和距离付出更多。相反，停车位供应，时间和成本都会影响出行行为和乘车使用。这项研究提供了有关停车的潜在好处和缺点的见解。停车供应，时间和成本都会影响出行行为和乘车使用。这项研究提供了有关停车的潜在好处和缺点的见解。停车供应，时间和成本都会影响出行行为和乘车使用。这项研究提供了有关停车的潜在好处和缺点的见解。