As sensors proliferate in our transportation systems, the amount of data is growing rapidly. As companies and agencies gather and store the data, there are many different tools for both storage and analytics. I will discuss some of the storage and analytical tools that will help modernize our transportation systems.
Randy Iwasaki is the Leader of State and Local Transportation for Amazon Web Services (AWS). In that position he leads AWS’s data support and analysis services for state and local transportation agencies, including; artificial intelligence support; use of AWS services in development of new technology in transportation; data analysis methods
for policy and planning analyses; traffic operational support; and other uses of AWS services by state and local transportation agencies. Prior to joining AWS Randy served for over 10 years as Executive Director of the Contra Costa Transportation Authority, recognized as one of the most innovative transportation agencies in the United
States. He founded GoMentum Station, the largest secure automated vehicle test facility in the nation. Prior to that he was a 27-year employee of the California Department of Transportation, where he rose through the ranks to become Chief Deputy Director from 2004 to 2009 and Director from 2009 to 2010. He is an internationally recognized leader in transportation research and innovation, and is frequently called upon to speak to the latest developments in automated and connected vehicle technology development and testing. He has been on dozens of TRB committees and research panels over the course of his career – serving as the chair of several of them. He was named as a senior fellow by UC Berkeley Institute of Transportation.
This presentation will focus on the results of a research with several colleagues about teleworking (pre-covid). This research provides evidence about the relationship between travel behavior, workplace diversification, and environmental impact in the United Kingdom using data from the National Travel Survey for the period between 2002 and 2017. The path analysis approach based on SEM handles both direct and indirect effects and allows for a comprehensive study of travel behavior, trade-off effects, and work and non-work trips. The results suggest that workplace diversification is often reflected by longer average distances for work trips, which are often associated with more remote residential locations. Findings also show that for some categories, such as teleworkers and home-based workers, trade-off effects are observed between work and non-work trips, which increase CO2 emission levels.
Leslie Belton Chevallier is a sociologist and researcher in sustainable development at Université Gustave Eiffel (ex-IFSTTAR) within the AME (Planning, Mobilities and Environment) Department (Dest). Specialising in the study of spatial mobilities and everyday life, she works mainly on the processes, especially digitalization, that contribute to the transformation of these practices at different spatial, temporal and social scales.
In France, as in many countries across the world, a shift towards telework is occurring and will likely continue long after the pandemic. Post-pandemic telework will probably have massive but still unclear implications for the way people live and work, and then travel (geography of trips, trip frequency, transport modes used, etc.). This communication presents some preliminary results of an ongoing research project on the impacts of the growth of home-based teleworking on teleworkers’ everyday activities (work, accompaniment of children, shopping, etc.) and mobility patterns in France. Data come from a survey of about 1,000 teleworkers, conducted online from March to April 2022. Results show that the adoption of home-based teleworking encourages individuals to reschedule some of their activities and trips. We also observe that the frequency of some activities, such as shopping in local shops, leisure and accompanying children, tends to increase. More generally, the adoption of telework is positively associated with more activities and trips in the neighborhood, and a reduction of car use and vehicle miles traveled. Finally, changes are more important as the frequency of teleworking increases, while there seems to be no difference between “new”and “old” teleworkers. However, rebound effects, such as new housing preferences, are not to be excluded.
Anne Aguilera is a Civil Engineer. She has a PhD in Transportation Economics and is currently senior researcher at the City, Mobility and Transport Laboratory (LVMT), an interdisciplinary research laboratory of the University Gustave Eiffel and Ecole des Ponts. Her research interests are the impacts of the growing use of information and communication technologies (ICT), such as teleworking, online shopping, autonomous vehicles, bike-sharing systems and carpooling apps, on individuals’ travel behavior. Her recent book, “Urban mobility and the smartphone”, was published in 2018 by Elsevier.
Understanding human behavior and wellbeing dynamics in the city is foundational for developing human-centered urban design and planning solutions. In this lecture, Dr. Fan will introduce her app-based day-reconstruction technology, which captures people’s daily activities, trips, and emotional well-being in-the-moment as they move in the city. She will further illustrate how the technology has been used to generate data and insights on fostering happier and more inclusive cities. Examples include mapping happiness ratings to streets and roads and uncovering the gender gap in everyday well-being.
Yingling Fan is Professor of Urban and Regional Planning at the Humphrey School of Public Affairs at the University of Minnesota. Her work puts human well-being and people’s lived experience at the center of designing urban infrastructure and technology solutions. Her human-centered research has not only helped urban planners create healthier and more equitable cities but also led to patented and commercialized digital systems to measure and visualize the spatiotemporal patterns of human activities and wellbeing. Her collaborative scholarship has attracted more than 20 million U.S. dollars in research grants.
Shared mobility—the shared use of a vehicle, bicycle, or other mode—is an innovative transportation strategy that enables users to gain short-term access to transportation modes on an “as-needed” basis. It includes various forms of carsharing, bikesharing, ridesharing, on-demand ride services, and microtransit. Also part of this ecosystem are smartphone “apps” that aggregate and optimize these mobility options, as well as “courier network services” that are seeking to disrupt the package and food delivery
industry. This presentation explores the different models that have emerged in the shared mobility space and reviews research that has quantified the environmental, social, and transportation-related impacts of these services. Questions addressed by this presentation include how shared mobility services contribute to social and environmental goals (and when they may not), what are the challenges and opportunities to this, and what the future could hold.
Susan Shaheen is a pioneer in innovative mobility strategies. She was among the first to research and write about the changing dynamics in shared mobility and likely scenarios through which automated vehicles might gain prominence. She is a professor in Civil and Environmental Engineering at the University of California, Berkeley. She is a Co-Director of the Transportation Sustainability Research Center of the Institute of Transportation Studies (ITS), Berkeley and Director of the UC ITS’ Resilient and Innovative Mobility Initiative (RIMI). She has a Ph.D. from UC Davis and a M.S. from the University of Rochester. She has authored 81 journal articles, over 160 reports and proceedings articles, 27 book chapters, and co-edited three books.
She served as the Chair of the Transportation Research Board (TRB) Executive Committee from 2021 to 2022 and as Vice Chair from 2020 to 2021. She received the 2017 Roy W. Crum award from TRB for her distinguished achievements in transportation research. In May 2016, she was named one of the top 10 academic thought leaders in transportation by the Eno Transportation Foundation.Q
This study examines the spatial distribution of subsidized housing units to understand whether geographic patterns and trends are consistent with climate change and equity goals. The analysis compares the location of Housing Choice Voucher (Section 8) units available in 2012 to net changes from 2012-2019. The units of analysis are census tracts in California. The study focuses on two primary policy goals: transportation-environmental (as measured by vehicle miles traveled, pollution, and other transportation characteristics) and racial and economic equity (measured by levels of racial segregation, unemployment, and employment opportunity). The major finding is that changes in the supply of affordable housing create an inherent contradiction between achieving competing goals.
Professor Ong has done research on the labor market status of minorities and immigrants, displaced high-tech workers, work and spatial/transportation mismatch, and environmental justice. He is currently engaged in several projects, including an analysis of the relationship between sustainability and equity, the racial wealth gap, and the role of urban structures on the reproduction of inequality. Previous research projects have included studies of the impact of defense cuts on California’s once-dominant aerospace industry,
the impact of immigration on the employment status of young African Americans, and the influence of car ownership and subsidized housing on welfare usage.
Dr. Ong is the Director of the Center for Neighborhood Knowledge and editor of AAPI Nexus, and has served as an advisor to the U.S. Bureau of the Census, and to the California Department of Social Services and the state Department of Employment Development, as well as the Wellness Foundation and the South Coast Air Quality Management District.
He received a master’s in urban planning from the University of Washington, and a Ph.D. in Economics, University of California, Berkeley. Along with his quantitative research, his professional practice includes teaching and applying visual forms of communication.
The past decade has witnessed a rapid growth of e-hail service provided by transportation network companies (TNCs), such as Uber and Lyft. However, e-hail service not only suffers from unexpected efficiency losses under certain market conditions, but also intensifies traffic congestion in some big cities. Partly motivated by these concerns, TNCs introduced pooling to complement the regular e-hail service. In this talk, I will first present a physical matching model that distinguishes regular e-hail and pooling services, then incorporate it into the equilibrium analysis to investigate the platform’s operational strategies and the impact of regulations. The base model is further extended to discuss platform competition and congestion pricing targeted at TNC vehicles.
Dr. Kenan Zhang is a postdoctoral researcher in the Automatic Control Laboratory at ETH Zurich. She will join EPFL as a tenure-track Assistant Professor in September 2023. Kenan obtained her PhD in Transportation Engineering from Northwestern University in 2021, where she also received an MS degree in Statistics. She completed her master’s study at Carnegie Mellon University in 2015 and undergraduate study at Tsinghua University in 2014, both in Civil Engineering. Her research focuses on the mathematical modeling and optimization of urban transportation systems, with special interests in emerging mobility services and technologies. She is also broadly interested in the applications of game theory and machine learning in transportation.
I briefly describe selected law and policy on infrastructure with a special focus on equity, inclusion, and discrimination. I begin with a short historical overview, from early periods of clear discrimination to reforms in the last decades. We will then discuss ways engineers, planners, transportation specialists, and lawyers can hold themselves accountable to society, and discuss solutions to increasing equity and promoting social justice. Cases include urban freeways, waste facilities, open spaces and parks, rail systems, and others.
Disconnected urban street network – “street-network sprawl” – are strongly associated with increased vehicle travel, energy use and CO2 emissions. Moreover, since street layouts are essentially permanent, today’s choices on the connectivity of streets will restrict future resilience and lock in car dependence for a century or more. Using data on all 46 million km of mapped streets worldwide and a satellite-derived time series of urbanization, I present the first systematic and globally commensurable measures of street-network sprawl.
I then discuss an emerging transportation technology. I highlight the autonomous vehicle parking problem: because such vehicles can avoid parking charges, they could undermine a key plank of transportation demand management and nearly double vehicle travel in city centers. Moreover, autonomous vehicles may find cruising around to be a lower cost option while waiting for their next rider, exacerbating congestion and environmental impacts.
Mr. Adam Millard-Ball is associate professor of Urban Planning at the UCLA Luskin School of Public Affairs. His research and teaching are about transportation, the environment, and urban data science. Trained as an economist, a geographer, and an urban planner, he analyzes the environmental consequences of transportation and land-use decisions, and the effectiveness of policies to reduce greenhouse gas emissions. His research uses large-scale geospatial data analysis as well as econometric and qualitative methods.
This talk will describe developed mathematical and algorithmic approaches for quantifying and maximizing the resilience of transportation systems and the societal functions they support. Transportation networks are interconnected with other critical lifelines, such as power and water supply. Together, these lifelines support societal activities occuring within building facilities related by a common function, e.g. health care. Moreover, the abilities of system users, e.g. transit riders, play an important role in the services they experience. Thus, both the behavior of technical components and how these systems enable their varying users to adapt are crucial. These considerations are incorporated and resilience is discussed in the context of current application and a future with digital twinning and automation.
Dr. Elise Miller-Hooks holds the Bill and Eleanor Hazel Endowed Chair in Infrastructure Engineering at George Mason University, is an advisor to the World Bank Group, and the founding Editor-in-Chief of IFORS/Elsevier’s Sustainability Analytics and Modeling journal. Prior to this, Dr. Miller-Hooks served as a program director at the U.S. National Science Foundation and on the faculties of the University of Maryland, Pennsylvania State University and Duke University. Dr. Miller-Hooks received her Ph.D. (1997) and M.S. (1994) degrees in Civil Engineering from the University of Texas – Austin and B.S. in Civil Engineering from Lafayette College (1992). She has expertise in: disruption planning and response; multi-hazard civil infrastructure resilience quantification and protection; stochastic and dynamic network algorithms; transportation systems engineering; intermodal passenger and freight transport; real-time routing and fleet management, including paratransit, delivery, ridesharing and bikeways; and collaborative and multi-objective decision-making.