published journal article

What Is the Connection? Understanding Shared Micromobility Links to Rail Public Transit Systems in Major California Cities

Sustainability

Publication Date

January 9, 2024

Author(s)

Mengying Ju, Elliot Martin, Susan Shaheen

Abstract

As shared micromobility (bikes and scooters) has proliferated throughout urban areas, there has been growing interest in how it facilitates connections with rail transit systems. This study explores the magnitude of interactions between shared micromobility and rail public transit systems using shared micromobility trip data and rail transit schedule data. We evaluate over one million trips from October 2019 to February 2020 in four California cities (San Francisco, Los Angeles, Sacramento, and San Jose) and develop criteria to identify trips connecting to rail transit. These include spatial and temporal rules, such as whether a trip starts/terminates close to public transit stations and whether a trip takes place when transit systems are operating. The criteria are examined via sensitivity analyses. The results indicate the degree of interaction between rail public transit and shared micromobility varies across cities and systems (i.e., docked/dockless). Most connections take place in the downtown or around public transit hubs. About 5–20% of all shared micromobility trips are identified as accessing or egressing from rail transit. These connecting trips exhibit commute-driven patterns and greater measured velocities. We conclude by examining the applicability of incorporating schedule information into the identification process of shared micromobility trips connecting to rail transit systems.

Suggested Citation
Mengying Ju, Elliot Martin and Susan Shaheen (2024) “What Is the Connection? Understanding Shared Micromobility Links to Rail Public Transit Systems in Major California Cities”, Sustainability, 16(2), p. 555. Available at: 10.3390/su16020555.

Phd Dissertation

Essays in urban economics

Publication Date

January 1, 2009

Author(s)

Abstract

Three independent research papers, all broadly focused on urban and transportation economics comprise the chapters of this dissertation. These empirical papers address a variety of policy oriented issues surrounding the automobile. Although related in theme, the objective, scope, and empirical strategy of each paper differs. The first chapter, “Does traffic congestion reduce employment growth?”, examines the impact of traffic congestion on employment growth in large U.S. metropolitan areas. I use an historic highway plan and political variables to serve as instruments for endogenous congestion. The results show that high initial levels of congestion dampen subsequent employment growth. This finding suggests that increasing the efficiency of public infrastructure can spur local economies. A set of counterfactual estimates show that the employment-growth returns from modest capacity expansion or congestion pricing are substantial. The second chapter, “Induced demand and rebound effects in road transport” (with Kenneth Small and Kurt Van Dender) uses a simultaneous equations model and aggregate data to estimate how drivers’ respond to exogenous increases in vehicle fuel-efficiency. One consequence of efficiency improvements is an increase vehicle use, which can moderate fuel savings. Accurate measures of this so-called ‘rebound effect’, are of interest to policy makers assessing the effectiveness of the Corporate Average Fuel Economy standards. This research paper also measures how traffic congestion and highway infrastructure affect vehicle use. The third chapter, “Evaluating the effectiveness of metered parking policy: evidence from a quasi-experiment”, uses a unique observational data set to assess metered parking policy. Although metered parking is ubiquitous, we know little about its effectiveness, particularly its impact on the retailers it is designed to assist. Sharp twice-daily changes in parking meter enforcement allow me to compare shopping behavior in both free and metered parking environments. Using the regression discontinuity design, I find that parking fees can have large impacts on nearby commerce.

Suggested Citation
Kent Matthew Hymel (2009) Essays in urban economics. Ph.D.. University of California, Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/17uq3m8/alma991027750239704701 (Accessed: October 14, 2023).

policy brief

Charging-as-a-Service is an Innovative Business Model that Could Help with California’s Vehicle Electrification Goals

Abstract

Access to electric vehicle (EV) charging infrastructure is critical to advancing California’s EV adoption goals. The California Energy Commission has projected the state needs “nearly 1.2 million” chargers by 2030 “to meet the fueling demands of 7.5 million passenger plug-in electric vehicles.” Currently, California has about 152,000 publicly available EV chargers. Innovative asset ownership models, like charging-as-a-service (CaaS), could help overcome some of the barriers to deploying and maintaining charging infrastructure. For example, CaaS providers could procure, install, maintain, and replace charging equipment for subscription customers. To better understand how CaaS solutions could expand EV use and charging access, this researchers conducted semi-structured interviews with 13 CaaS companies, electric utilities, and customers to identify the perceptions, challenges, and opportunities of the CaaS business model in addressing charging station needs in California.

Suggested Citation
Angela Yun and Matthew D. Dean (2025) Charging-as-a-Service is an Innovative Business Model that Could Help with California’s Vehicle Electrification Goals. Policy Brief. UC ITS. Available at: https://doi.org/10.7922/g2tq5zw4.

presentation

Complete Street Composition - Infrastructural Improvements to Transportation Planning and Design in Orange County, California

Suggested Citation
Joseph Faria-Poynter (2022) “Complete Street Composition - Infrastructural Improvements to Transportation Planning and Design in Orange County, California”. 2022 ITS-Irvine Emerging Scholars Transportation Research Showcase, ITS-Irvine, 28 October. Available at: https://youtu.be/Rpdf6-T_fCk?t=1942.

research report

Review of “Bay Area/California high-speed rail ridership and revenue forecasting study”

Publication Date

January 1, 2010

Author(s)

David Brownstone, S. Madanat, M. Hansen
Suggested Citation
David Brownstone, S. Madanat and M. Hansen (2010) Review of “Bay Area/California high-speed rail ridership and revenue forecasting study”. California High Speed Rail Authority.

working paper

Predicting the Market Penetration of Electric and Clean-Fuel Vehicles

Publication Date

November 1, 1991

Author(s)

Thomas Golob, Ryuichi Kitamura, Mark Bradley, David Bunch

Abstract

Air quality in Southern California and elsewhere could be substantially improved if some gasoline powered personal vehicles were replaced by vehicles powered by electricity or alternative fuels, such as methanol, ethanol, propane, or compressed natural gas. Quantitative market research information about how consumers are likely to respond to alternative-fuel vehicles is critical to the development of policies aimed at encouraging such technological change. In 1991, a three-phase stated preference (SP) survey was implemented in the South Coast Air Basin of California to predict the effect on personal vehicle purchases of attributes that potentially differentiate clean-fuel vehicles from conventional gasoline (or diesel) vehicles. These attributes included: limited availability of refueling stations, limited range between refueling or recharging, vehicle prices, fuel operating costs, emissions levels, multiple-fuel capability, and performance. Respondents were asked to choose one vehicle from each of five sets of hypothetical clean-fuel and conventional gasoline vehicles, each vehicle defined in terms of attributes manipulated according to a specific experimental design. Discrete choice models, such as the multinomial logit model, are then used to estimate how the values of the attribute levels influence purchase decisions. The SP survey choice sets were customized to each respondent’s situation, as determined in the preceding Phase of the survey. The final Phase of the survey involved fuel-choice SP tasks for multi-fuel vehicles that can run on either clean fuels or gasoline. Preliminary results from a pilot sample indicate that the survey responses are plausible and will indeed be useful for forecasting.

Suggested Citation
Thomas F. Golob, Ryuichi Kitamura, Mark Bradley and David S. Bunch (1991) Predicting the Market Penetration of Electric and Clean-Fuel Vehicles. Working Paper UCI-ITS-WP-91-13. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/9jc2n56h.

Phd Dissertation

Land use regulations and housing supply: Impacts on local, state, and U.S. markets

Publication Date

January 1, 2009

Author(s)

Abstract

When a slumping housing market pushes a national economy towards recession, policy makers, investors and homeowners tend to focus their attention on federal regulation of housing finance. However, they have all but ignored the impacts of local and state regulations on the production of housing itself. This is surprising, since recent evidence suggests local and state land use regulations may play an important role in housing market efficiency (Mayer and Soerville, 2000; Glaser, Gyourko, and Saks, 2005). Furthermore, scholars have failed to reconcile opposing theories of land use regulations and housing supply, so consistent definitions of regulation and efficiency remain elusive. This dissertation will help reconcile the opposing theories of urban economics, political economy, and regional planning with the question: How do land use regulations effect housing markets? Do their impacts vary by scale? While these theoretical models yield radically different answers, most conclude that other regulatory approaches result in housing market inefficiencies. But with several perspectives and viewpoints, what are the fundamentals of various models? How well do models and theories portray real world markets? Which models should policy makers follow? This dissertation uses a three-paper approach to address these questions. The first paper, an integrative analysis, intimately examines the idea that land use regulations may have played a role in the emergence of the 2007 recession. Results financial deregulation and decentralization of land use in the 1980s set the stage for a large housing bubble and subsequent crash. Second, an empirical analysis examines local government regulation, competition, and housing construction in Southern California. Findings indicate that as cities permit more multifamily units, their neighbors permit less, suggesting that local regulations and intercity competition may inefficiently restrict certain housing types. The third paper analyzes the impacts of state regulation on housing growth in Maryland, and finds that it may increase multifamily housing in urban areas, but decrease in suburban and exurban areas. This suggests that cities in non-urban areas might view state regulatory incentives as a source of inefficient growth or public expenditures, and that “smart growth” programs have limited effectiveness.

Suggested Citation
Ralph Boone McLaughlin (2009) Land use regulations and housing supply: Impacts on local, state, and U.S. markets. Ph.D.. University of California, Irvine. Available at: https://uci.primo.exlibrisgroup.com/permalink/01CDL_IRV_INST/1gpb62p/alma991027839339704701 (Accessed: October 14, 2023).

published journal article

The impact of urban form and gasoline prices on vehicle usage: Evidence from the 2009 National Household Travel Survey

Research in Transportation Economics

Suggested Citation
Harya S. Dillon, Jean-Daniel Saphores and Marlon G. Boarnet (2015) “The impact of urban form and gasoline prices on vehicle usage: Evidence from the 2009 National Household Travel Survey”, Research in Transportation Economics, 52, pp. 23–33. Available at: 10.1016/j.retrec.2015.10.006.

working paper

Is the Journey to Work Explained by Urban Structure?

Publication Date

September 5, 1991

Associated Project

Working Paper

UCI-ITS-WP-91-1

Areas of Expertise

Abstract

The length of the urban work trip, and especially how it is influenced by land-use patterns, have become critical issues for urban economic theory and for public policy toward transportation and land use. Many economic models and policy analyses hinge on the belief that land-use patterns affect commuting importantly; yet the empirical evidence for this belief is weak. In this paper, we use disaggregate data for a very large urban region to examine this key relationship anew.

Suggested Citation
Genevieve Giuliano and Kenneth A. Small (1991) Is the Journey to Work Explained by Urban Structure?. Working Paper UCI-ITS-WP-91-1. Institute of Transportation Studies, Irvine. Available at: https://escholarship.org/uc/item/8q0560pw.

conference paper

A preliminary analysis of the environmental impacts of the clean truck program in the alameda corridor, California

Proceedings of the 89th annual meeting of the transportation research board

Publication Date

January 1, 2010

Abstract

The San Pedro Bay Ports (SPBP) of Los Angeles and Long Beach in Southern California is one of the largest port container complexes in the world, and the largest one is the United States. To decrease the air pollution associated with port operations, a number of measures have been adopted, including the Clean Trucks Program, which was introduced in 2008 to modernizing and clean up the fleet of drayage trucks serving the SPBP. The objective of this paper is to quantify the reduction in emissions attributable to the Clean Trucks Program, with a focus on Nitrogen Oxide (NOx) and Particulate Matter (PM2.5). The authors approach is innovative as it relies on micro-simulation (TransModeler) to capture the link between congestion and pollutant emissions. The authors find that the Clean Trucks Program could contribute significantly to the emissions of NOx (~27%) and PM2.5 (~25%) for all the freeway traffic in the study area. These preliminary results suggest that the Clean Trucks Program is promising, but its cost-effectiveness should be analyzed.

Suggested Citation
Roberto Ayala, Jean-Daniel Saphores, Stephen G. Ritchie, Gunwoo Lee and Mana Sangkapichai (2010) “A preliminary analysis of the environmental impacts of the clean truck program in the alameda corridor, California”, in Proceedings of the 89th annual meeting of the transportation research board, p. 16p.