policy brief

Are Accessibility Evaluation Tools Ready for Prime Time?

Abstract

In the United States, local governments typically evaluate the transportation impacts of new development based on the expected effects of the development on nearby traffic flows. These flows are most often measured in terms of “level-of-service,” or LOS, from “A” (free flow) to “F” (forced flow). If a traffic impact analysis (TIA) finds that the LOS on streets and intersections near the proposed development will degrade below a certain threshold, the project developer may be required to undertake mitigation efforts, including funding nearby transportation system improvements to lessen the projected traffic delays occasioned by the new development and/or reduce the scale of the proposal — or they may risk the project not being approved at all. LOS mitigation frequently ignores travel via modes — such as walking, biking, scooters, or public transit — other than motor vehicles. This emphasis on nearby traffic effects and motor vehicle mobility can discourage development in already built-up areas and, in doing so, ignore both the project’s regional effects on travel and traffic and the economic, social, and environmental benefits that arise from agglomerations of activities.In response, a growing number of researchers and practitioners have argued that an accessibility-focused approach would be a more conceptually complete and practical way to assess the transportation effects of new developments. Accessibility analyses consider the ease by which various destinations can be accessed by foot, bike, and public transit, as well as by car, and how proposed new developments might change this. As the number of accessibility adherents in planning research and practice has grown, there has been significant progress in the development of access evaluation measures and tools. For this research, we (1) developed a conceptual framework for accessibility analysis (Figure 1), (2) used this framework to assess the promise and pitfalls of 54 measures and tools developed to evaluate access, and (3) conducted interviews with five practitioners around the U.S. to learn about early efforts to incorporate access measurement into planning practice.

published journal article

Tools of the Trade? Assessing the Progress of Accessibility Measures for Planning Practice

Abstract

Problem, research strategy, and findings:
A growing number of planning researchers and practitioners argue for a shift from mobility-centered transportation planning to an accessibility-focused one. Accessibility is a compelling concept that has proven more difficult to operationalize than mobility, which helps to explain why so many accessibility metrics have been developed for urban research and planning practice. To assess the state of these metrics, we reviewed 54 of them in light of their theoretical basis, data requirements, units of analysis, travel modes and trip purposes accounted for, and potential applications to planning practice. We also reviewed the substantial literature on accessibility measurement and interviewed planning practitioners who are applying accessibility metrics in practice. We find that accessibility theory and measurement have advanced more rapidly than applications in practice. However, a new generation of tools is emerging that may accelerate the move to accessibility planning. Although many of the measures focus on a single travel mode, the number of multimodal metrics is growing. Most of the measures are designed for regional-scale planning and scenario evaluation; only a few to date are intended for project evaluation.

Takeaway for practice:
The 54 accessibility metrics and tools we reviewed vary widely and none stands out as obviously superior for planning practice. Although most calculate the accessibility of places, and many do so reasonably well, we see the most promise in measures of the accessibility of travelers, which can then be aggregated for place-based analyses while still shedding light on how access can vary substantially across different types of travelers. The principal challenge to broadly deploying accessibility analyses in practice in the years ahead is in developing measures that meaningfully measure the many salient dimensions of access, have manageable data requirements, and are understandable to planners, public officials, and community members.

other

Is Accessibility Evaluation Ready for Prime Time?

policy brief

Commute Distance and Jobs-Housing Fit in Los Angeles

Abstract

Across the country, many large metropolitan areas face an acute shortage of housing, which is driving up housing prices. Anecdotal evidence suggests that households priced out of expensive urban neighborhoods are moving to the outer reaches of metropolitan areas, where they find cheaper housing but have longer-distance commutes. Growing commute distances may negatively affect the health and economic mobility of workers and, if cars are involved, have deleterious effects on the environment. In this study, UCLA researchers investigated the merits of this anecdotal evidence. The study examined the relationship between housing availability near workplaces and commute distance for lower-, medium-, and higher-wage workers in the Los Angeles metropolitan area, including Los Angeles and Orange counties. Lower-wage workers have monthly wages less than $1,250; middle-wage workers have monthly wages between $1,251–$3,333; and higher-wage workers have monthly wages greater than $3,333. To do so, they drew on the work of Benner and Karner (2016) and analyzed “jobs-housing fit,” a measure of the adequacy of housing units of different prices matched to the wages of local workers. They set the household income threshold for lower-wage workers as $30,000 a year, two times the $1,250/month threshold of the lower-wage job category. According to the U.S. Department of Housing and Urban Development (HUD), affordable housing is defined as housing in which residents pay no more than 30% of their gross income for rent. Based on this criteria, lower-wage workers could afford rentals of $750/month (30% × $30,000/12)

published journal article

Housing Affordability and Commute Distance

Abstract

The growing affordable housing crisis in high-cost metropolitan areas may force households to seek lower-cost housing in the outer reaches of metropolitan areas contributing to the recent increase in commute distance. To explore this assertion, we test the relationship between the availability of affordable housing relative to jobs and commute distance in two diverse metropolitan statistical areas in Southern California: Los Angeles-Orange (higher cost, coastal, older, more urban) and Riverside-San Bernardino (lower cost, inland, newer, more suburban). A worse “fit” between the number of low-wage jobs and affordable housing rentals is associated with longer commute distances in LA-Orange but is not statistically significant in Riverside-San Bernardino. This study’s findings highlight the differences in housing dynamics and commute distances between higher-cost coastal regions and lower-cost inland regions—and underscore the importance of protecting and expanding the supply of affordable housing in job-rich neighborhoods located in more expensive, coastal cities.

published journal article

Commute Distance and Jobs-housing Fit

Abstract

Anecdotal evidence suggests that the affordable housing crisis is forcing households to seek lower-cost housing in the outer reaches of major metropolitan areas, helping to explain recent increases in commute distance. To test this relationship, we use spatial regression to examine the relationship between the availability of affordable housing in close proximity to jobs (jobs-housing fit) and commute distance in the Los Angeles metropolitan area. The analysis draws on 2015 Longitudinal Employer-Household Dynamics (LEHD) Origin-Destination Employment Statistics (LODES) by workplace supplemented with data from the 2013–2017 5-Year American Community Survey on affordable housing units. We find substantial variation in jobs-housing fit across Los Angeles neighborhoods. The imbalance is greatest in higher-income neighborhoods located along the coast and in Orange County, south of Los Angeles. Controlling for other determinants of commute distance, a higher ratio of jobs to affordable housing is associated with longer distance commutes. To address growing commute distances, policymakers must greatly expand and protect the supply of long-term rental housing particularly in job-rich neighborhoods.

policy brief

Jobs-Housing Balance in California Cities

Abstract

In many U.S. metropolitan areas, housing costs have
skyrocketed in recent years relative to average incomes. This
pattern is certainly the case in California, where more than
half (52%) of renters are cost burdened — defined as having
housing costs of more than 30% of household income —
compared to 46% of U.S. renters. A worsening shortage of
affordable housing may push households away from job-
rich cities and expensive neighborhoods into outlying areas,
where housing is cheaper but jobs are more distant. Median
commute distances in California have in fact lengthened in
recent years, growing from 12.5 miles in 2002 to 14.2 miles
in 2015. Among other consequences, pre-pandemic transit
ridership in some areas of the state fell in part because
transit is less competitive for these lengthening trips.
Jobs-housing balance — measured as the number of
jobs relative to the number of workers in an area — may
influence residential location. Therefore, improvements in
the proximity of workers to jobs can contribute to shorter
commutes, less vehicle travel and, potentially, greater use
of modes other than driving. Low-income households may
realize additional benefits from jobs-housing balance, since
some studies show a positive relationship between job
access and the likelihood of employment. While not the only
or, perhaps, the principal determinant of these outcomes,
jobs-housing balance can have positive effects by better
enabling some workers to move to job-rich neighborhoods,
should they so choose.
We used data from the Longitudinal Employer-Household
Dynamics Origin-Destination Employment Statistics to
examine whether California cities have become more or less
“self-contained” over time with respect to the location of
employed residents relative to their jobs (See Figure 1). The
analysis specifically focuses on the role of housing costs and
supply in explaining this trend.

published journal article

Low-Income Workers, Residential Location, and the Changing Commute in the United States

Abstract

Numerous reports suggest that rising rents in some U.S. metropolitan areas are pushing workers to live further from their workplaces over time and contributing to lengthening commutes. Drawing on data from the last three vintages of the U.S. National Household Travel Survey (2001, 2009, and 2017), we test whether the relationship between residential location and commute distance varies significantly between low-income and higher-income workers and has changed over time. The data show that commute distances have increased for both low- and higher-income workers with much of the increase occurring in lower-density areas. Statistical models show a strong positive relationship between living in a low-density neighborhood and commute distance for all workers. This relationship appears stronger for low-income than higher-income workers but the strength of the relationship has not increased over time. The findings suggest that the growth in commute distance among low-income workers is largely due to a shift in their residential location towards low-density neighborhoods.

policy brief

Benefits of a Connected Corridor: Early Results from Testing Eco-Driving Applications in the City of Riverside

Abstract

Roadway infrastructure is essential for fostering the continued economic growth in California. It is the backbone of transportation systems, facilitating the delivery of public services and moving people and goods across the state. Infrastructure assets are usually costly and require long-term investment. The Road Repair and Accountability Act of 2017 (SB 1) dedicated nearly $55 billion in funding for repairs and maintenance of the California’s highway system as well as for improvement of major transportation routes and corridors. With the advent of connected and automated vehicles (CAV) technology, these funds also provide a rare opportunity for transportation agencies to upgrade road infrastructure to support wireless vehicle-to-vehicle (V2V) communication and vehicle-to-infrastructure (V2I) communication. To better understand the benefits of upgrading infrastructure to support cellular communications, researchers at the University of California at Riverside (UCR), collaborated with the City of Riverside, CA, to develop a CAV testbed along a portion of University Avenue to test V2V and V2I applications.

research report

Assessing Roadway Infrastructure for Future Connected and Automated Vehicle Deployment in California

Abstract

Roadway infrastructure is key to continued economic growth in California, supporting daily needs for moving both people and goods. In the era of connected and automated vehicles (CAVs), there is a strong need for testing the new enabling technology and upgrading current infrastructure to support different types of connectivity and automation. This report summarizes the research team’s efforts to: a) inventory California’s connected and automated vehicle testing facilities and testbeds; b) collaborate with the City of Riverside to upgrade communication capabilities along the Riverside Innovation Corridor and enable both dedicated short-range communications (DSRC) and cellular-based communications; c) develop an innovative connected eco-approach and departure (EAD) application for actuated signalized corridors; and d) conduct field operational tests to assess the costs and benefits from infrastructure upgrades. The research shows that despite relatively slower communication time compared to dedicated short-range communications, cellular-based communications can provide additional benefits to vehicles equipped with eco-driving connected and automated vehicle applications such as eco-approach and departure, due to its greater communication range. Furthermore, broadcasting Radio Technical Commission for Maritime Services correction messages is a cost-effective solution to improving positioning accuracy for equipped vehicles.