by Innovative Mobility Research | Aug 5, 2021 |
Authors: Gustave Cordahi, Susan Shaheen, Elliot Martin Date: August 2018 Abstract: The Mobility on Demand (MOD) Sandbox Demonstration Program provides a venue through which integrated MOD concepts and solutions – supported through local partnerships – are demonstrated in real-world settings. For each of the 11 MOD Sandbox Demonstration projects, the MOD Sandbox Independent Evaluation includes an analysis of project impacts from performance measures provided by the project partners, as well as an assessment of the business models used. This report constitutes the Evaluation Plan for the Regional Transportation Authority (RTA) of Pima County Adaptive Mobility with Reliability and Efficiency (AMORE) Sandbox project. It includes the following chapters: project overview; evaluation approach and process; evaluation schedule and management; and data collection and analysis plan. View...
by Innovative Mobility Research | Aug 5, 2021 |
Authors: Elliot Martin, PhD, Adam Stocker, Adam Cohen, Susan Shaheen, PhD Date: June 2021 Abstract: The Mobility on Demand (MOD) Sandbox Demonstration Program provides a venue through which integrated MOD concepts and strategies, supported through local partnerships, are demonstrated in real-world settings. For the 11 MOD Sandbox Demonstration projects, an independent evaluation was conducted that includes an analysis of project impacts from performance measures provided by the project partners and an assessment of the business models used. This document presents the results from the independent evaluation of the Dallas Area Rapid Transit (DART) First and Last Mile Solution MOD Sandbox Demonstration project. Evaluated were hypotheses that explored project impacts on travel behavior, user experiences, first and last mile to public transit accessibility, service quality for passengers with disabilities, and costs. The project improved first and last mile connectivity to DART transit, increased satisfaction among DART transit users, enhanced service for passengers with disabilities, and increased the geographic scope of DART transit service in the Plano area. In addition, wait and travel times for passengers with and without disabilities reflected similar distributions. The subsidy per rider of GoLink services was lower than the low-ridership fixed-route transit services that it replaced in Plano, but it was not lower than the subsidy for DART fixed-route transit in the overall Dallas region. DART project team members were interviewed to better understand challenges, barriers, successes, and broader lessons learned from the project, representing agency personnel from the offices of Innovation, Service Planning, Scheduling, Paratransit Operations, and Marketing. Lessons learned revealed the importance of having pre-planned, ready-to-go projects with committed partners, flexible contracting terms, metrics...
by Innovative Mobility Research | Aug 5, 2021 |
Authors: Adam Cohen, Susan Shaheen, Jacquelyn Broader, and Elliot Martin Date: June 2021 Abstract: The Federal Transit Administration’s (FTA) Mobility on Demand (MOD) Sandbox Program provides a venue through which integrated MOD concepts and strategies, supported through local partnerships, are demonstrated in real-world settings. This case study documents lessons learned from the Chicago Transit Authority (CTA) MOD Sandbox Demonstration, called Ventra–Divvy Integration. The case study is a part of an independent evaluation of the MOD Sandbox Demonstrations sponsored by the USDOT Intelligent Transportation Systems Joint Program Office (ITS JPO) and FTA. The case study includes background on CTA’s MOD Sandbox Demonstration, technical and institutional challenges encountered in the demonstration’s first phase, payment integration and unbanked access as part of the second phase of the demonstration, and discussion of lessons learned and recommended practices identified from this demonstration. View...
by Innovative Mobility Research | Jul 14, 2021 |
Host: Wunder Mobility Podcast Date: July 1, 2021 Wunder Mobility talks with Susan Shaheen about the potential separation between public and private transportation, how to create a healthy mobility ecosystem with complementing modes and less competition, and how public transport operators innovate. … Listen to the full podcast...
by Innovative Mobility Research | Mar 4, 2021 |
Authors: Susan Shaheen, PhD, Jessica Lazarus, Juan Caicedo, Alexandre Bayen, PhD Date: February 1, 2021 Abstract: On-demand mobility services including transportation network companies (also known as ridesourcing and ridehailing) like Lyft and Uber are changing the way that people travel by providing dynamic mobility that can supplement public transit and personal-vehicle use. However, TNC services have been found to contribute to increasing vehicle mileage, traffic congestion, and greenhouse gas emissions. Pooling rides ⎯ sharing a vehicle by multiple passengers to complete journeys of similar origin and destination ⎯ can increase the average vehicle occupancy of TNC trips and thus mitigate some of the negative impacts. Several mobility companies have launched app-based pooling services in recent years including app-based carpooling services (e.g., Waze Carpool, Scoop) that match drivers with riders; pooled on-demand ride services (e.g., Uber Pool and Lyft Shared rides) that match multiple TNC users; and microtransit services (e.g., Bridj, Chariot, Via) that offer on-demand, flexibly routed service, typically in larger vehicles such as vans or shuttles. However, information on the potential impacts of these options is so far limited. This research employs a general population stated preference survey of four California metropolitan regions (Los Angeles, Sacramento, San Diego, and the San Francisco Bay Area) in Fall 2018 to examine the opportunities and challenges for drastically expanding the market for pooling, accounting for differences in emergent travel behavior and preferences across the four metropolitan regions surveyed. The travel profiles, TNC use patterns, and attitudes and perceptions of TNCs and pooling are analyzed across key socio-demographic attributes to enrich behavioral understanding of marginalized and price sensitive users of on-demand ride...
