A Framework for Integrating Transportation Into Smart Cities

In recent years, economic, environmental, and political forces have quickly given rise to “Smart Cities” -- an array of strategies that can transform transportation in cities. Using a multi-method approach to research and develop a framework for smart cities, this study provides a framework that can be employed to: Understand what a smart city is and how to replicate smart city successes; The role of pilot projects, metrics, and evaluations to test, implement, and replicate strategies; and Understand the role of shared micromobility, big data, and other key issues impacting communities. This research provides recommendations for policy and professional practice as it relates to integrating transportation into smart cities

Regulating Micromobility: Examining Transportation Equity and Access

This paper evaluates the various ways cities have or are attempting to address e-scooter usage equity concerns, with a focus on Atlanta, Georgia as compared to Austin, Texas; Charlotte, North Carolina; Los Angeles, California; and Portland, Oregon. The cities were evaluated by the laws in effect at the time of coding, which occurred during the project period of October through December 2019. To explore how existing laws and regulations affect access to e-scooters, this research was guided by the following overarching questions: How equitable is access to e-scooters? How can equitable access to e-scooters be improved? How can a data-driven approach be used to craft inclusive and effective micromobility regulations for Atlanta, Georgia, and other cities nationwide

Investigating the Influence of Dockless Electric Bike-share on Travel Behavior, Attitudes, Health, and Equity

Cities throughout the world have implemented bike-share systems as a strategy for expanding mobility options. While these have attracted substantial ridership, little is known about their influence on travel behavior more broadly. The aim of this study was to examine how shared electric bikes (e-bikes) and e-scooters influence individual travel attitudes and behavior, and related outcomes of physical activity and transportation equity. The study involved a survey in the greater Sacramento area of 1959 households before (Spring 2016) and 988 after (Spring 2019) the Summer 2018 implementation of the e-bike and e-scooterservice operated by Jump, Inc., as well as a direct survey of 703 e-bike users (in Fall 2018 & Spring 2019). Among householdrespondents, 3–13% reported having used the service. Of e-bike share trips, 35% substituted for car travel, 30% substituted for walking, and 5% were used to connect to transit. Before- and after-household surveys indicated a slight decrease in self-reported (not objectively measured) median vehicle miles traveled and slight positive shifts in attitudes towards bicycling. Service implementation was associated with minimal changes in health in terms of physical activity and numbers of collisions. The percentages of users by self-reported student status, race, and income suggest a fairly equitable service distribution by these parameters, but each survey under-represents racial minorities and people with low incomes. Therefore, the study is inconclusive about how this service impacts those most in need. Furthermore, aggregated socio-demographics of areas where trips started or ended did not correlate with, and therefore are not reliable indicators of, the socio-demographics of e-bike-share users. Thus, targeted surveying of racial minorities and people with low-incomes is needed to understand bike-share equity

Regulating Micromobility: Examining Transportation Equity and Access

This paper evaluates the various ways cities have or are attempting to address e-scooter usage equity concerns, with a focus on Atlanta, Georgia as compared to Austin, Texas; Charlotte, North Carolina; Los Angeles, California; and Portland, Oregon. The cities were evaluated by the laws in effect at the time of coding, which occurred during the project period of October through December 2019. To explore how existing laws and regulations affect access to e-scooters, this research was guided by the following overarching questions: How equitable is access to e-scooters? How can equitable access to e-scooters be improved? How can a data-driven approach be used to craft inclusive and effective micromobility regulations for Atlanta, Georgia and other cities nationwide

A Systematic Literature Review on Machine Learning in Shared Mobility

Shared mobility has emerged as a sustainable alternative to both private transportation and traditional public transport, promising to reduce the number of private vehicles on roads while offering users greater flexibility. Today, urban areas are home to a myriad of innovative services, including car-sharing, ride-sharing, and micromobility solutions like moped-sharing, bike-sharing, and e-scooter-sharing. Given the intense competition and the inherent operational complexities of shared mobility systems, providers are increasingly seeking specialized decision-support methodologies to boost operational efficiency. While recent research indicates that advanced machine learning methods can tackle the intricate challenges in shared mobility management decisions, a thorough evaluation of existing research is essential to fully grasp its potential and pinpoint areas needing further exploration. This paper presents a systematic literature review that specifically targets the application of Machine Learning for decision-making in Shared Mobility Systems. Our review underscores that Machine Learning offers methodological solutions to specific management challenges crucial for the effective operation of Shared Mobility Systems. We delve into the methods and datasets employed, spotlight research trends, and pinpoint research gaps. Our findings culminate in a comprehensive framework of Machine Learning techniques designed to bolster managerial decision-making in addressing challenges specific to Shared Mobility across various levels

Exploring informants’ perspectives on the role of crowdsourced active travel data

Peer reviewedPostprin

Understanding the Construction of Accessibility and Mobility: Non-Car Transportation in St. Louis, Missouri

This research examines disadvantaged populations’ accessibility and mobility in the non-car transportation system in St. Louis. By employing mixed methods, this research investigates accessibility and mobility through three distinct scholarly lenses: physical infrastructure and proximity, individual experiences, and political processes. The thesis synthesizes the analyses from these three approaches in order to provide holistic policy recommendations for creating more equitable transportation systems in St. Louis and beyond. Empirical findings show that neighborhoods with lower median incomes and lower percentages of white population in St. Louis are less accessible for biking and walking, with highly variable public transit accessibility. Bike system connectivity presents a barrier to mobility for people across the city, and dockless bike share, once thought to be a panacea for bike equity in the city, failed after less than a year in operation. Walking mobility remains an acute challenge in disadvantaged neighborhoods, as sidewalk infrastructure crumbles and safety issues persist. Public transit accessibility and mobility are multi-layered and highly dependent on individuals’ patterns of life and desired destinations; for some people, the system works efficiently, while for others, trips can be inconvenient or unpleasant. Overall, the insights from interrogating non-car accessibility and mobility in St. Louis generate two major recommendations for creating more equitable non-car transportation systems: 1) “commoning mobility,” which refers to cultivating mobility policies around collective ownership and responsibility, rather than scarcity of money, street space, or time, and 2) advocating across temporal and geographic scales to bring about this “commoning” in large and small ways

Chapter 3 - Mobility on demand (MOD) and mobility as a service (MaaS): early understanding of shared mobility impacts and public transit partnerships

Technology is changing the way we move and reshaping cities and society. Shared and on-demand mobility represent notable transportation shifts in the 21st century. In recent years, mobility on demand (MOD)—where consumers access mobility, goods, and services on-demand by dispatching shared modes, courier services, public transport, and other innovative strategies—has grown rapidly due to technological advancements; changing consumer preferences; and a range of economic, environmental, and social factors. New attitudes toward sharing, MOD, and mobility as a service (MaaS) are changing traveler behavior and creating new opportunities and challenges for public transportation. This chapter discusses similarities and differences between the evolving concepts of MaaS and MOD. Next, it characterizes the range of existing public transit and MOD service models and enabling partnerships. The chapter also explores emerging trends impacting public transportation. While vehicle automation could result in greater public transit competition in the future, it could also foster new opportunities for transit enhancements (e.g., microtransit services, first- and last-mile connections, reduced operating costs). The chapter concludes with a discussion of how MOD/MaaS partnerships and automation could enable the public transit industry to reinvent itself, making it more attractive and competitive with private vehicle ownership and use