GTFS-Ride: Unifying Standard for Fixed-Route Ridership Data

2019 ◽  
Vol 2673 (12) ◽  
pp. 173-181
Author(s):  
Phillip Carleton ◽  
Sylvan Hoover ◽  
Ben Fields ◽  
Matthew Barnes ◽  
J. David Porter
Keyword(s):  
Public Transit ◽  
The United States ◽  
Lessons Learned ◽  
Digital Data ◽  
Related Data ◽  
Standard Data ◽  
Transit Ridership ◽  
Technological Developments ◽  
Transit Agencies ◽  
Additional Support

The rapid growth in the availability and utility of vast amounts of digital data is arguably one of the most significant technological developments in recent years. In public transit, many agencies utilize modern technologies to collect large amounts of data, whereas smaller agencies with fewer resources and less expertise still use more traditional, manual data collection methods. Regardless of their technological capabilities, transit agencies recognize that some amount of transit data is useful and required. To the best of our knowledge, no standard data description of detailed fixed-route ridership exists today in the United States, forcing transit agencies to develop their own system of collecting, storing, and analyzing ridership and related data. In response to this need, this research aimed at developing one of the first public transit ridership data standards for fixed-route services and to support and promote its adoption and use. The resulting standard, an extension to the General Transit Feed Specification (GTFS) data standard, is referred to as GTFS-ride. GTFS-ride is easy to understand, able to accommodate the complexities of larger transit agencies, and capable of establishing a strong connection to the state of a transit network as it existed when the ridership data was collected. The first complete draft of GTFS-ride was released on September 6, 2017. This paper explains the structure of the five files that compose GTFS-ride, introduces additional support elements developed to facilitate its promotion and adoption, and documents the lessons learned from pilot implementations of GTFS-ride at three Oregon public transit agencies.

Optimizing Public Transit Quality and System Access: The Multiple-Route, Maximal Covering/Shortest-Path Problem

2005 ◽  
Vol 32 (2) ◽  
pp. 163-178 ◽  
Author(s):  
Changshan Wu ◽  
Alan T Murray
Keyword(s):  
Service Quality ◽  
Shortest Path ◽  
Public Transit ◽  
The United States ◽  
Path Model ◽  
Transit System ◽  
Transit Service ◽  
Maximal Covering ◽  
Transit Ridership ◽  
Transit Agencies

Public transit service is a promising travel mode because of its potential to address urban sustainability. However, current ridership of public transit is very low in most urban regions—particularly those in the United States. Low transit ridership can be attributed to many factors, among which poor service quality is key. Transit service quality may potentially be improved by decreasing the number of service stops, but this would be likely to reduce access coverage. Improving transit service quality while maintaining adequate access coverage is a challenge facing public transit agencies. In this paper we propose a multiple-route, maximal covering/shortest-path model to address the trade-off between public transit service quality and access coverage in an established bus-based transit system. The model is applied to routes in Columbus, Ohio. Results show that it is possible to improve transit service quality by eliminating redundant or underutilized service stops.

Role of Public Transportation in a Natural Disaster State of Emergency Declaration

2019 ◽  
Vol 2673 (5) ◽  
pp. 230-239 ◽  
Author(s):  
Jodi Godfrey ◽  
Gennaro Saliceto ◽  
Roberta Yegidis
Keyword(s):  
Public Transportation ◽  
Emergency Preparedness ◽  
Public Transit ◽  
The United States ◽  
Lessons Learned ◽  
Extreme Weather Events ◽  
The Public ◽  
The Status ◽  
Response And Recovery ◽  
Transit Agencies

Destructive natural disasters such as hurricanes or other extreme weather events challenge many industries, especially the public transit industry. The 2017 hurricane season proved to be tumultuous, with three major hurricanes devastating the United States in less than 2 months. The challenges faced in Florida, in response to Hurricane Irma, precipitated best practices and lessons learned related to monitoring and reporting the status of transportation infrastructure, identifying temporary alternative solutions, and coordinating and communicating with emergency operations centers, state departments of transportation, and individual transit agencies. Sharing the lessons learned from recent firsthand experiences will undoubtedly improve the public transit industry’s emergency preparedness, response, and recovery activities.

scholarly journals Planning for the First and Last Mile: A Review of Practices at Selected Transit Agencies in the United States

2021 ◽  
Vol 13 (4) ◽  
pp. 2222
Author(s):  
Hossain Mohiuddin
Keyword(s):  
Los Angeles ◽  
Gap Analysis ◽  
The United States ◽  
Design Guidelines ◽  
Plan Implementation ◽  
Marginalized Communities ◽  
Transit Ridership ◽  
Last Mile ◽  
Transit Agencies

A transit trip involves travel to and from transit stops or stations. The quality of what are commonly known as first and last mile connections (regardless of their length) can have an important impact on transit ridership. Transit agencies throughout the world are developing innovative approaches to improving first and last mile connections, for example, by partnering with ride-hailing and other emerging mobility services. A small but growing number of transit agencies in the U.S. have adopted first and last mile (FLM) plans with the goal of increasing ridership. As this is a relatively new practice by transit agencies, a review of these plans can inform other transit agencies and assist them in preparing their own. Four FLM plans were selected from diverse geographic contexts for review: Los Angeles County Metropolitan Transportation Authority (LA Metro), Riverside (CA) Transit Agency (RTA), and Denver Regional Transit District (RTD), and City of Richmond, CA. Based on the literature, we developed a framework with an emphasis on transportation equity to examine these plans. We identified five common approaches to addressing the FLM issue: spatial gap analysis with a focus on socio-demographics and locational characteristics, incorporation of emerging mobility services, innovative funding approaches for plan implementation, equity and transportation remedies for marginalized communities, and development of pedestrian and bicycle infrastructures surrounding transit stations. Strategies in three of the plans are aligned with regional goals for emissions reductions. LA Metro and Riverside Transit incorporate detailed design guidelines for the improvement of transit stations. As these plans are still relatively new, it will take time to evaluate their impact on ridership and their communities’ overall transit experience.

Transit Planning Optimization Under Ride-Hailing Competition and Traffic Congestion

2021 ◽  
Author(s):  
Keji Wei ◽  
Vikrant Vaze ◽  
Alexandre Jacquillat
Keyword(s):  
New York ◽  
Traffic Congestion ◽  
Service Providers ◽  
Public Transit ◽  
Mixed Integer ◽  
Nonlinear Program ◽  
Transit Planning ◽  
Planning Optimization ◽  
Transit Ridership ◽  
Transit Agencies

With the soaring popularity of ride-hailing, the interdependence between transit ridership, ride-hailing ridership, and urban congestion motivates the following question: can public transit and ride-hailing coexist and thrive in a way that enhances the urban transportation ecosystem as a whole? To answer this question, we develop a mathematical and computational framework that optimizes transit schedules while explicitly accounting for their impacts on road congestion and passengers’ mode choice between transit and ride-hailing. The problem is formulated as a mixed integer nonlinear program and solved using a bilevel decomposition algorithm. Based on computational case study experiments in New York City, our optimized transit schedules consistently lead to 0.4%–3% system-wide cost reduction. This amounts to rush-hour savings of millions of dollars per day while simultaneously reducing the costs to passengers and transportation service providers. These benefits are driven by a better alignment of available transportation options with passengers’ preferences—by redistributing public transit resources to where they provide the strongest societal benefits. These results are robust to underlying assumptions about passenger demand, transit level of service, the dynamics of ride-hailing operations, and transit fare structures. Ultimately, by explicitly accounting for ride-hailing competition, passenger preferences, and traffic congestion, transit agencies can develop schedules that lower costs for passengers, operators, and the system as a whole: a rare win–win–win outcome.

Maintrainenance: Keeping Heavy Rail Maintenance on Track

2019 ◽  
Vol 2673 (7) ◽  
pp. 192-203
Author(s):  
Sreekar Shashank Boddupalli ◽  
Andrea Sherman ◽  
Joe Zerkus ◽  
Alice Grossman
Keyword(s):  
United States ◽  
New York ◽  
Asset Management ◽  
Best Practice ◽  
The United States ◽  
Lessons Learned ◽  
Rapid Transit ◽  
Bay Area ◽  
Transit Agencies ◽  
Heavy Rail

Infrastructure management is an important aspect of transportation engineering. Contrasting views have emerged on feasible best practice in asset management for various transportation modes. The differences in current practice can provide insight into best practices and lessons learned. This paper focuses on heavy rail maintenance state of practice in the United States and compares the maintenance practices, strategies, and procedures implemented by four transit agencies across the country. The objective of the paper is to provide guidance and examples for other transit agencies in the United States to meet the short-term challenges they face and provide recommendations to improve services nationwide. This paper examines rail maintenance practices at the Metropolitan Atlanta Rapid Transit Authority (MARTA), Bay Area Rapid Transit (BART), Washington Metropolitan Area Transit Authority (WMATA), and the New York Metropolitan Transit Authority (MTA). The paper found that out of the four agencies studied, MARTA has the highest maintenance to operations budget ratio, and most of the maintenance expenditure is on labor. WMATA found that automation of inspection improved maintenance efficiency, and BART is working toward adopting more automated processes. New York City’s MTA shows an example of the importance of clear governance in effective budgeting.

Partnerships in Urban Mobility: Incentive Mechanisms for Improving Public Transit Adoption

2021 ◽  
Author(s):  
Auyon Siddiq ◽  
Christopher S. Tang ◽  
Jingwei Zhang
Keyword(s):  
Public Transit ◽  
Cost Effective ◽  
The United States ◽  
The Public ◽  
Direct Mechanism ◽  
Indirect Mechanism ◽  
Transit Ridership ◽  
Last Mile ◽  
Transit Station ◽  
The Government

Problem definition: Because of a prolonged decline in public transit ridership over the last decade, transit agencies across the United States are in financial crisis. To entice commuters to travel by public transit instead of driving personal vehicles, municipal governments must address the “last-mile” problem by providing convenient and affordable transportation between a commuter’s home and a transit station. This challenge raises an important question: Is there a cost-effective mechanism that can improve public transit adoption by solving the last-mile problem? Academic/practical relevance: In this paper, we present and analyze two incentive mechanisms for increasing commuter adoption of public transit. In a direct mechanism, the government provides a subsidy to commuters who adopt a “mixed mode,” which involves combining public transit with hailing rides to/from a transit station. The government funds the subsidy by imposing congestion fees on personal vehicles entering the city center. In an indirect mechanism, instead of levying congestion fees, the government secures funding for the subsidy from the private sector. We examine the implications of both mechanisms on relevant stakeholders. These two mechanisms are especially relevant because several jurisdictions in the United States have begun piloting incentive programs, in which commuters receive subsidies for ride-hailing trips that begin or end at a transit station. Methodology: We present a game-theoretic model to capture the strategic interactions among five self-interested stakeholders (commuters, public transit agency, ride-hailing platform, municipal government, and local private enterprises). Results: By examining equilibrium outcomes, we obtain three key findings. First, we characterize how the optimal interventions associated with the direct or the indirect mechanism depend on: (a) the coverage level of the public transit network; (b) the public transit adoption target; and (c) the relative strength of commuter preferences between driving and taking public transit. Second, we show that the direct mechanism cannot be budget-neutral without undermining commuter welfare. However, when the public transit adoption target is not too aggressive, we find that the indirect mechanism can increase both commuter welfare and sales to the private-sector partner while remaining budget-neutral. Finally, we show that, although the indirect mechanism restricts the scope of government intervention (by eliminating the congestion fee), it can dominate the direct mechanism by leaving all stakeholders better off, especially when the adoption target is modest. Managerial implications: Our findings offer cost-effective prescriptions for improving urban mobility and public transit ridership.

scholarly journals Uber vs. Pubic transit friend or foe? : an empirical study of ridership trends across Uber cities in the USA

2021 ◽  
Author(s):  
Dominic Tremblay
Keyword(s):  
Public Transit ◽  
Transportation Network ◽  
Municipal Governments ◽  
Policy Makers ◽  
Highly Educated ◽  
Transit Ridership ◽  
The Usa ◽  
Transit Agencies ◽  
Taxi Industry ◽  
High Level

Uber is a disruptive transportation network company (TNC) that is affecting the way people move in cities. While its effects on the taxi industry are increasingly clear, little research has been conducted to study its effect on public transit ridership. This study uses descriptive statistics to establish demographic and socio-economic profiles of cities that Uber has targeted, and a quasi difference-in-difference analysis to explore Uber's effect on transit ridership levels in order to determine whether the service is acting as a complement or substitute to public transit. The results from this high-level study suggest that Uber my be more of a complement to transit over time, and in large dense regions with highly-educated, affluent, productive labour markets that already have very high transit ridership. Finally, recommendations informed by these findings are offered for transit agencies, policy makers, and municipal governments as they continue to determine how to regulate Uber and similar ride sourcing services

scholarly journals Engaging K-12 Audiences with Biodiversity Data through Advancing Digitization for Biodiversity Collections

2018 ◽  
Vol 2 ◽  
pp. e26473
Author(s):  
Molly Phillips ◽  
Anne Basham ◽  
Marc Cubeta ◽  
Kari Harris ◽  
Jonathan Hendricks ◽  
...  
Keyword(s):  
Natural History ◽  
The United States ◽  
Lessons Learned ◽  
Educational Resources ◽  
Digital Data ◽  
Science Standards ◽  
Global Biodiversity Information Facility ◽  
Digital Collections ◽  
Natural History Collections ◽  
K 12

Natural history collections around the world are currently being digitized with the resulting data and associated media now shared online in aggregators such as the Global Biodiversity Information Facility and Integrated Digitized Biocollections (iDigBio). These collections and their resources are accessible and discoverable through online portals to not only researchers and collections professionals, but to educators, students, and other potential downstream users. Primary and secondary education (K-12) in the United States is going through its own revolution with many states adopting Next Generation Science Standards (NGSS https://www.nextgenscience.org/). The new standards emphasize science practices for analyzing and interpreting data and connect to cross-cutting concepts such as cause and effect and patterns. NGSS and natural history collections data portals seem to complement each other. Nevertheless, many educators and students are unaware of the digital resources available or are overwhelmed with working in aggregated databases created by scientists. To better address this challenge, participants within the National Science Foundation Advancing Digitization for Biodiversity Collections program (ADBC) have been working to increase awareness of, and scaffold learning for, digitized collections with K-12 educators and learners. They are accomplishing this through individual programs at institutions across the country as part of the Thematic Collections Networks and collaboratively through the iDigBio Education and Outreach Working Group. ADBC partners have focused on incorporating digital data and resources into K-12 classrooms through training workshops and webinars for both educators and collections professionals, as well as through creating educational resources, websites, and applications that use digital collections data. This presentation includes lessons learned from engaging K-12 audiences with digital data, summarizes available resources for both educators and collections professionals, shares how to become involved, and provides ways to facilitate transfer of educational resources to the K-12 community.

scholarly journals TOD and Park-and-Ride: Which is Appropriate Where?

2021 ◽  
Author(s):  
John Niles ◽  
J.M. Pogodzinski
Keyword(s):  
Public Policy ◽  
Land Development ◽  
The United States ◽  
Housing Affordability ◽  
The Other ◽  
Strategic Decision ◽  
Professional Literature ◽  
Park And Ride ◽  
Transit Ridership ◽  
Transit Agencies

Despite the sharp drop in transit ridership throughout the USA that began in March 2020, two different uses of land near transit stations continue to be implemented in the United States to promote ridership. Since 2010, transit agencies have given priority to multi-family residential construction referred to as transit oriented development (TOD), with an emphasis on housing affordability. In second place for urban planners but popular with suburban commuters is free or inexpensive parking near rail or bus transit centers, known as park-and-ride (PnR). Sometimes, TOD and PnR are combined in the same development. Public policy seeks to gain high community value from both of these land uses, and there is public interest in understanding the circumstances and locations where one of these two uses should be emphasized over the other. Multiple justifications for each are offered in the professional literature and reviewed in this report. Fundamental to the strategic decision making necessary to allocate public resources toward one use or the other is a determination of the degree to which each approach generates transit ridership. In the research reported here, econometric analysis of GIS data for transit stops, PnR locations, and residential density was employed to measure their influence on transit boardings for samples of transit stops at the main transit agencies in Seattle, Los Angeles, and San José. Results from all three cities indicate that adding 100 parking spaces close to a transit stop has a larger marginal impact than adding 100 housing units. Previous academic research estimating the higher ridership generation per floor area of PnR compared to multi-family TOD housing makes this show of strength for parking an expected finding. At the same time, this report reviews several common public policy justifications for TOD as a preferred land development emphasis near transit stations, such as revenue generation for the transit agency and providing a location for below-market affordable housing where occupants do not need to have a car. If increasing ridership is important for a transit agency, then parking for customers who want to drive to a station is an important option. There may also be additional benefits for park-and-ride in responding to the ongoing pandemic.

scholarly journals Planning a high-frequency transfer-based bus network: How do we get there?

2021 ◽  
Vol 14 (1) ◽  
pp. 863-884
Author(s):  
Emily Grise ◽  
Anson Stewart ◽  
Ahmed El-Geneidy
Keyword(s):  
High Frequency ◽  
Urban Areas ◽  
Planning Process ◽  
Public Transit ◽  
Cell Model ◽  
Grid Cell ◽  
The United States ◽  
Performance Measure ◽  
Transit Ridership ◽  
Bus Network

As cities have grown more dispersed and auto-oriented, demand for travel has become increasingly difficult to meet via public transit. Public transit ridership, particularly bus ridership, has recently been on the decline in many urban areas in Canada and the United States, and many agencies have either undergone or are planning comprehensive bus network redesigns in response. While comprehensive bus network redesigns are not novel to public transit, network redesigns are commonly being considered in cities to optimize operational costs and reverse downward trends in transit ridership. For cities considering a comprehensive bus network redesign, there is currently no comprehensive easy-to-follow planning process available to guide cities through such a major undertaking. In light of that, this study presents a methodology to guide transport professionals through the planning process of a bus network redesign, using Longueuil, Quebec, as a case study. Currently, Longueuil operates a door-to-door network, and the goal is to move to a transfer-based, high-frequency service while keeping the existing number of buses constant. A variety of data sources that capture regional travel behavior and network performance are overlaid using a GIS-based grid-cell model to identify priority bus corridors. A series of analyses to measure and quantify anticipated and actual improvements from the proposed bus network redesign are conducted, including coverage analysis, change in accessibility to jobs, and travel time analysis. Accessibility to jobs was the key performance measure used in this analysis and is presented as a useful tool for planners and transit agencies to obtain buy-in for the proposed plan. This methodology provides transport professionals with a flexible and reproducible guide to consider when conducting a bus network redesign, while ensuring that such a network overhaul maximizes the number of opportunities that residents can access by transit and does not add an additional burden to an agency’s operating budget.

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