research report

How the Built Environment Affects Car Ownership and Travel: Evidence from San Francisco Housing Lotteries

Abstract

Credibly identifying how the built environment shapes behavior is empirically challenging because people select residential locations based on differing constraints and preferences for site amenities. The study overcomes these research barriers by leveraging San Francisco’s affordable housing lotteries, which randomly allow specific households to move to specific residences. Using administrative data, the research team demonstrates that lottery-winning households’ baseline preferences are uncorrelated with their allotted residential features such as public transportation accessibility, parking availability, and bicycle infrastructure—meaning that neighborhood attributes and a building’s parking supply are effectively assigned at random. Surveying the households, the team finds that these attributes significantly affect transportation mode choices. Most notably, the research paper shows that essentially random variation in on-site parking availability greatly changes households’ car ownership decisions and driving frequency, with substitution away from public transit. In contrast, the research team finds that parking availability does not affect employment or job mobility. Overall, the evidence from the study robustly supports that local features of the built environment are important determinants of transportation behavior.

policy brief

Asphalt concrete compaction sample specifications

research report

Background Paper: The General Transit Feed Specification (GTFS) Makes Trip-Planning Easier — Especially During a Pandemic — Yet its Use by California Agencies is Uneven

Abstract

The General Transit Feed Specification (GTFS) is an open-source data format public transportation agencies use to share information about routes and vehicle arrival and departure times. A variety of trip-planning applications, including Google Maps, rely on GTFS feeds to incorporate public transit information. In April 2020, the California Integrated Travel Project conducted a Feasibility Study that called for the widespread adoption of GTFS-static (GTFS-s) and GTFS-realtime (GTFS-r) to make transit simpler for California residents; however, there is little research on patterns of information sharing across transit agencies. This background paper highlights findings from an analysis of GTFS use among agencies that report to the National Transit Database (NTD) in California. The prevalence of transit service modifications in response to the COVID-19 pandemic was also studied.

policy brief

The General Transit Feed Specification Makes Trip-Planning Easier – Especially During a Pandemic – Yet its Use by California Agencies is Uneven

Abstract

Developed in 2005, the General Transit Feed Specification (GTFS) is making transit trip planning easier by allowing public transportation agencies to share transit schedules in an electronic format that can be used by a variety of trip-planning applications, such as Google Maps. The GTFS can be used to share static transit schedules (GTFS-s) or provide real-time information on transit vehicle arrivals and departures (GTFS-r). Providing real-time updates has proven to be exceptionally valuable during the COVID-19 pandemic. For example, between January 13th and April 25th of this year Apple estimates that transit use in the United States decreased by 75%1 , which caused many public transit providers to modify their services. The California Integrated Travel Project (CITP) recently called for widespread adoption of GTFS-s and GTFS-r2 ; however, little is known about GTFS use across agencies and, in turn, the barriers to widespread adoption.

policy brief

The Effect of Bus Lane Management Techniques on Operator Experience, Safety, and On-Time Performance

policy brief

Changing Plans: Flexibility, Accountability, and Oversight of Local Option Sales Tax Implementation in California

dissertation, thesis, or capstone

The Effect of Bus lane Management Techniques on Operator Experience, Safety, and On-Time Performance