12/31/2023 0 Comments Kap weekday![]() Meredith-Karam, Patrick & Kong, Hui & Wang, Shenhao & Zhao, Jinhua, 2021.Journal of Transport Geography, Elsevier, vol. " Investigating socio-spatial differences between solo ridehailing and pooled rides in diverse communities," Soria, Jason & Stathopoulos, Amanda, 2021." Microtransit adoption in the wake of the COVID-19 pandemic: evidence from a choice experiment with transit and car commuters," Jason Soria & Shelly Etzioni & Yoram Shiftan & Amanda Stathopoulos & Eran Ben-Elia, 2022." Using machine learning for direct demand modeling of ridesourcing services in Chicago," Yan, Xiang & Liu, Xinyu & Zhao, Xilei, 2020." Not minding the gap: Does ride-hailing serve transit deserts?," Information Systems Research, INFORMS, vol. " Examining the Heterogeneous Impact of Ride-Hailing Services on Public Transit Use," These are the items that most often cite the same works as this one and are cited by the same works as this one. The gained knowledge about RH and transit can provide insights for transit agencies to improve transit services, which are discussed in this paper. According to the above findings, the degree of the relationship between RH and public transit demand tends to be mixed, varying by transit mode, time of day and transit level-of-service. Additionally, RH trip volume is more positively related to ridership at terminal/transfer subway stations in Toronto’s city centre while more negatively associated with routes with relatively poor services (e.g., low on-time performance, low vehicle running speed and low frequency) in the city centre where traffic congestion can be severe. In contrast, the negative relationship between surface transit routes and RH ridership is the highest during peak commuting hours. The positive relationship between RH and subway station ridership is the strongest during the mid-day and early evening. The results show that RH services generally have a positive association with subway station ridership while negatively correlating with surface transit route ridership. With this dataset, the study utilized random-effects panel data models and log–log regression models to estimate the correlation of RH pickup/drop-off counts with subway station and surface transit route (buses and streetcars) ridership within transit catchment areas, broken down into five different periods of a non-summer weekday. ![]() This study benefitted from having access to detailed data on trip-level RH trips, transit supply and transit ridership in Toronto for three years (2016–2018). This study aimed to explore the relationship between RH and public transit ridership and provide a starting point for future studies. Understanding the correlation between RH trips and transit ridership has become an urgently important matter for transit agencies. ![]() However, many transit agencies are experiencing ridership stagnation or even decline. Ride-hailing (RH) services have been growing rapidly and gaining popularity worldwide.
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