On July 29th, I participated in a webinar on the Impacts of COVID-19 on Mobility, organized by The Ohio State University College of Arts and Sciences, the College of Engineering and the OSU Alumni Association. The recording is posted below. Very interesting discussion; worth watching!
Faculty and industry experts have a conversation about the potential implications of COVID-19 on the design of our communities and various modes of transportation including air travel, personal vehicles, public transit, micro-mobility and ride-hailing services.
Chris Atkinson, Director, The Ohio State University Smart Mobility Program
Jennifer Clark, Professor and Section Head, City and Regional Planning
Harvey Miller, Reusche Chair in Geographic Information Science; Director, Center for Urban and Regional Analysis
Sophia Mohr, Chief Innovation Officer, Central Ohio Transit Authority
Stephanie Morgan, Executive Director, Air Transportation and Aerospace Campus
Giorgio Rizzoni, Center for Automative Research, Ford Motor Company Chair, Mechanical & Aerospace Engineering
Abstract: Mobility is central to urbanity, and urbanity is central to our common future as the world’s population crowds into urban areas. This is creating a global urban mobility crisis due to the unsustainability of our 20th century transportation systems for an urban world. Fortunately, the science and planning of urban mobility is transforming away from infrastructure as the solution towards a sustainable mobility paradigm that manages rather than encourages travel, diminishes mobility and accessibility inequities, and reduces the harms of mobility to people and environments. In this essay, I discuss the contributions over the past decade of movement analytics to sustainable mobility science and planning. I also highlight two major challenges to sustainable mobility that should be addressed over the next decade.
Keywords: movement analytics, mobility science, animal movement ecology, sustainable mobility, urbanity
We develop an analytical framework for measuring accessibility considering travelers’ heterogeneous safety margin plans and routing strategies under travel time uncertainty.
We explore how accessibility changes under various safety margin plans and routing strategies.
We define and measure robust accessibility: geographic areas that are accessible regardless of the safety margin planning and routing strategy.
Robust accessibility provides a conservative and reasonable view of accessibility under travel time uncertainty.
We apply our framework to measure the accessibility impacts of new public transit service under travel time uncertainty.
Uncertainties in travel times due to traffic congestion and delay are risks for drivers and public transit users. To avoid undesired consequences such as losing jobs or missing medical appointments, people can manage the risks of missing on-time arrivals to destinations using different strategies, including leaving earlier to create a safety margin and choosing routes that have more reliable rather than fastest travel times. This research develops a general analytical framework for measuring accessibility considering automobile or public transit travelers’ heterogeneous strategies for dealing with travel time uncertainty. To represent different safety margin plans, we use effective travel time (expected time + safety margin), given specified on-time arrival probabilities. Heterogeneity in routing strategy is addressed using different Pareto-optimal routes with two main criteria: faster travel time vs. higher reliability. Based on various safety margin and routing strategy combinations, we examine how accessibility changes under varying safety margin plans and routing strategies. Also, we define and measure robust accessibility: geographic regions that are accessible regardless of the safety margin planning and routing strategy. Robust accessibility can provide a conservative and reasonable view of accessibility under travel time uncertainty. To demonstrate the applicability of the methods, we carry out an empirical study on measuring the impacts of new transit service on healthcare accessibility in a deprived neighborhood in Columbus, Ohio, USA.