How transit service closures influence bikesharing demand; lessons learned from SafeTrack project in Washington, D.C. metropolitan area

The Role of Bike Sharing in Promoting Transport Resilience

“…Well informed travelers can adjust their travel modes to respond. These adjustments can be seen as adaptations of travelers to abrupt changes, which also provide evidence that a more significant and rapid change in travel policy and travel patterns to achieve eco-friendly mobility are possible (Younes et al 2019). From this perspective, long-term transit disruptions are in fact an opportunity through which to construct through experimentation a different approach to transport policy that might enable environmentally friendly changes, rather than simply to frustrate significant numbers of travelers (Marsden and Docherty 2013).…”

“…Public transport service availability in the first/last leg of the trip generally are constrained in cities worldwide (Fan et al 2019). Bike sharing is considered as a viable alternative in the case of transit disruptions, especially planned system closures (Younes et al 2019), due to its easy access and convenient parking. An integrated approach to public transport, with bike-sharing schemes supplementing standard bus and light rail systems, can improve transit times and encourage the shift towards a more sustainable urban mobility (Brons et al 2009;Buehler and Pucher 2012).…”

“…To date, there are only limited studies examining the impact of public transit disruption on the use of bike sharing (Fuller et al 2012;Saberi et al 2018;Kaviti et al 2018;Younes et al 2019). The first two studies focus on the impact of London underground strikes on bike sharing mobility patterns, and both of them found that the significant increase was observed in daily bike sharing trip counts and duration during each strike period.…”

“…Also, this paper failed to consider the presence of planned disruptions in the regression model which only considered the week-long period before, during and after each surge, as well as ignored weekend trips and observations during experiences of precipitation. Younes et al (2019) analyzed the impacts of three transit disruptions in SafeTrack project (surge 2, 4 and 10, refer to Supplementary Table 1) on bike sharing use employing autoregressive Poisson model. Nevertheless, they failed to capture the overdispersion characteristics of trips data and to identify impacts of various influential radii and biking distance on bike sharing demand in the event of transit closure, as well as to consider the impact of precipitation.…”

A Data-Driven Approach for Estimating the Effects of Station Closures in Metro Systems

“…However, few studies have utilized the potential of AFC data for metro station closure analysis. Younes et al, [7] investigated the effects of three public transit disruptions in Washington, D.C. on travel model choice and bikeshare demand during the SafeTrack project. This study suggested that the transit station closures had a considerable effect on bikeshare ridership.…”