Promoting Peer-to-Peer Ridesharing Services as Transit System Feeders

Abstract

Peer-to-peer (P2P) ridesharing is a recently emerging travel alternative that can help accommodate the growth in urban travel demand and at the same time alleviate problems such as excessive vehicular emissions. Prior ridesharing projects suggest that the demand for ridesharing is usually shifted from transit, but its true benefits are realized when the demand shifts from single-occupancy vehicles. This study investigated the potential of shifting demand from private autos to transit by providing a general modeling framework that found routes for private vehicle users that were a combination of P2P ridesharing and transit. The Los Angeles Metro Red Line in California was considered for a case study because it has recently shown declining ridership trends. For successful implementation of a ridesharing system, strategically selecting locations for individuals to get on and off the rideshare vehicles is crucial, along with an appropriate pricing structure for the rides. The study conducted a parametric analysis of the application of real-time P2P ridesharing to feed the Los Angeles Metro Red Line with simulated demand. A mobile application with an innovative ride-matching algorithm was developed as a decision support tool that suggested transit-rideshare and rideshare routes.

A Literature Review on Interactions Between Stakeholders Through Accessibility Indicators Under Mobility as a Service Context

“…The platform side focused on matching both users and vehicles, route planning [38][39][40][41][42][43][44][45][46][47][48][49], and the impact of MPO on users [50][51][52]. The modeling part focused on modeling the demand-supply interactions [48,[53][54][55][56][57][58][59][60][61][62][63][64][65][66][67].…”

“…In addition, Wen el al. [53] applied the fare, including base fare, per-unit-time fare, per-unit-distance fare, discount for sharing, and transferring for modeling the operation of AVs, while other studies considered fare as cost per unit distance or time [42,54,56,60,62,67,70]. Furthermore, additional road pricing was considered by Salazar et al [55] in modeling the assignment of user requests to mobility options.…”

“…The dispatching processes considered user's travel time and driver's detour time and waiting time to provide a journey with minimizing total travel time for both user and driver [38,40,41,44,60,61,63,69], and maximizing the matched users [43,46,47,67]. Furthermore, several studies proposed dispatching models to minimize the operational costs of shared mobility services [45,56,62].…”

“…Furthermore, the reviewed models simulating the platform operation of on-demand services can establish and assign trip requests to other TSPs, such as PuT services and bike-sharing service although the TSPs are independently operated and not yet integrated into a single MPO. As a result, the existing models focus on the objectives of minimizing travel cost and/or travel time or maximizing the benefits of on-demand service [38-49, 55, 56, 60-63, 66, 67, [38,40,41,44,60,61,63,69] Minimize users' travel time and maximize drivers' matching rate [43,46,47,67] Minimize users' travel time and providers' operational costs [39,42,45,48,49,56,62,66] Maximize social welfare for both users and drivers [55,64] 69]. Therefore, a gap found in the literature is identified as a lack of studies accounting for the efficiency of both ondemand services and PuT services.…”

Nebengin: Android-based Collaborative Transportation Application

“…Penelitian yang dilakukan oleh [5], membuat sebuah penelitian mengenai aplikasi mencari perjalanan alternatif yang dapat membantu mengakomodasi pertumbuhan permintaan perjalanan perkotaan dan pada saat yang sama meringankan masalah seperti emisi kendaraan yang berlebihan. Tujuan penelitian ini adalah mempelajari potensi pergeseran permintaan dari mobil pribadi ke angkutan umum dengan menyediakan kerangka kerja pemodelan umum yang menemukan jalur untuk pengguna kendaraan pribadi yang merupakan kombinasi dari layanan antar-jemput (peerto-peer) dan transit.…”