Download or read book Maple Ridge Transit Usage Study written by and published by . This book was released on 1996 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book 1969 Public Transit Usage Study written by Honolulu (Hawaii). Mass Transit Division and published by . This book was released on 1971 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Portland Vancouver Mass Transit Use Study written by and published by . This book was released on 1966 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Municipal Statistics written by British Colombia. Department of Municipal Affairs and published by . This book was released on 1972 with total page 692 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Mass Transit Usage Survey written by William C. Hayhurst and published by . This book was released on 1974 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Transit Ridership Population and Jobs written by James J. Barry and published by . This book was released on 1982 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Guidelines for Enhancing Suburban Mobility Using Public Transportation written by Transit Cooperative Research Program and published by Transportation Research Board. This book was released on 1999 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: Guidelines for enhancing suburban mobility: Overview and summary of findings -- Suburban transit services: The planning context -- Actions to modify and improve the overall suburban transit framework -- Circulators and shuttles -- Subscription buses and vanpools -- Summary: Lessons and conclusions -- Bibliography -- Appendix A: Classifying suburban environments.

Download or read book Research Agenda for Increasing Transit Ridership written by Transportation Research Board. Transit Cooperative Research Program and published by . This book was released on 1995 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book On board Study to Assess Metromover Ridership and Transit Options for Weeknight Riders Between 7 10 30 P m written by Robert A. Ladner and published by . This book was released on 1998 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Michigan Bulletin of Vital Statistics written by Michigan. Board of Health and published by . This book was released on 1899 with total page 792 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Public Transit Use Among Immigrants written by Heisz, Andrew and published by Analytical studies, Statistics Canada. This book was released on 2004 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Increasing Public Transit Ridership Among University of Manitoba Students a Bus Rapid Transit Solution written by Medeiros, Nelson and published by Institute of Urban Studies, University of Winnipeg. This book was released on 2002 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Michigan Monthly Bulletin of Vital Statistics written by Michigan. State Board of Health and published by . This book was released on 1897 with total page 1010 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Monthly Catalogue United States Public Documents written by and published by . This book was released on 1993-05 with total page 1830 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Fare Approach to Attracting Transit Ridership After COVID 19 written by Rubeén Grayson Morgan-Roselloó and published by . This book was released on 2021 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: The COVID-19 global pandemic substantially depressed ridership on transit agencies across North America. While much is still unknown about the anticipated return of transit ridership after the pandemic, the exacerbation of previous work-from-home trends due to continued remote work policies can negatively affect transit ridership recovery and the use of traditional pass fare products. For example, an increase in work-from-home flexibility after employees return to the office is likely to affect the ongoing establishment of "pass multiples", or the "break-even" point, for monthly passes. This thesis examines two case studies of potential new or modified fare products and one randomized control trial and suggests a strategy for transit agencies to attract ridership as employers reopen their downtown offices. The research analyzes the Massachusetts Bay Transportation Authority (MBTA), the regional transit agency for Greater Boston and one of the largest in the nation. A focus on commuter rail users and the Perq program (the corporate pass program at the MBTA) narrows the analysis to traditional peak commuters (AM and PM frequent peak riders). The first case study dissects a new pass option that was introduced early in the COVID-19 pandemic known as the Flex Pass. While an honorable attempt at providing a flexible pass option during a time of uncertainty, alternative pass structures and heavier discounts will likely be necessary to attract more users to this, or an alternative, fare product. Based on an analysis using pre- and during COVID-19 commuter rail individual passenger usage, an alternative more heavily discounted 20/30 (20 trips within 30 days) fare product is recommended to replace the Flex Pass along with increased discounts on the Monthly Pass. Additionally, a randomized control trial conducted just before the pandemic shows how an email marketing campaign can be used to increase pass product adoption among regular system users. Coupled with the new 20/30 fare product and an increased discount on the Monthly Pass from the first case study, the email marketing campaign can help quickly roll out a new product to meet ever-shifting travel behaviors. Finally, a new employer-based fare product, named the Mobility Pass (a pay-per-use product for employers that functions as an unlimited pass for employees and requires all benefits-eligible employees be covered and is heavily subsidized by the employer), is analyzed to show the ridership growth potential if rolled out to all employers in the Perq program (as well as those who use third party employee benefit administrators). These three tactics can be used to increase ridership as transit agencies seek to recover from a global pandemic and historically low ridership

Download or read book A Macro Analysis of Variables Influencing Transit Usage written by Gregory L. Thompson and published by . This book was released on 1973 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Behavioral Dynamics of Public Transit Ridership in Chicago and Impacts of COVID 19 written by Mary Rose Fissinger and published by . This book was released on 2020 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Public transportation ridership analysis in the United States has traditionally centered around the tracking and reporting of the count of trips taken on the system. Such analysis is valuable but incomplete. This work presents a ridership analysis framework that keeps the rider, rather than the trip, as the fundamental unit of analysis, aiming to demonstrate to transit agencies how to leverage data sources already available to them in order to capture the various behavior patterns existing on their transit network and the relative prevalence of each at any given moment and over time. In examining year over year changes as well as the impacts of the COVID-19 pandemic on ridership, this analysis highlights the complex landscape of behaviors underlying trip counts. It keeps riders’ mobility patterns and needs as the focal point and, in doing so, creates a more direct line between results of analysis and policies geared toward making the system better for its riders. This work makes use of two primary methodological tools: the k-means clustering algorithm to identify behavioral patterns, and linear and spatial regression to model metrics of urban mobility across the city. The former is chosen because of its established history in the literature as a technique for classifying smart cards, and because its simplicity and efficiency in clustering high numbers of cards made it an attractive option for a framework that could be adopted and customized by various transit agencies. Spatial regression is employed in conjunction with classic linear regression to capture spatial dependencies inherent in but often ignored in the modeling of urban mobility data. Chapter 3 of this work identifies the behavioral dynamics underlying top-level ridership decreases between 2017 and 2018 on the Chicago Transit Authority (CTA) and finds that riders decreasing the frequency with which they ride, rather than leaving the system, is the primary driver behind the loss of trips on the system, despite growth in the number of frequent riders using the system for commuting travel. The following chapter applies a similar framework to understand the precipitous ridership drop due to COVID-19 and discovers distinct responses on the part of two frequent rider groups, with peak rail riders abandoning the system at rates of 93% while half of off-peak bus riders continued to ride during the pandemic. Chapter 5 uses linear and spatial regression to model the percent change in trips due to COVID by census tract and finds that even when controlling for demographics, pre-pandemic behavior is predictive of the percent loss in trips. Specifically, high rates of bus usage and transfers, along with pass usage, are associated with smaller drops in trips, while riding during the peak is predictive of larger decreases in trips. Chapter 6 presents preliminary thoughts on employing a spatial regression framework on high-dimensional data to learn urban mobility patterns. This work highlights the insights to be gained from an analysis framework that reveals the complex behavioral dynamics present on a transit network at any given time. It further connects these behaviors to other rider characteristics such as home location and response to the COVID-19 pandemic, painting a rich picture of an agency’s riders with their existing data and allowing for informed, targeted policy creation. A key finding was that frequent, off-peak bus riders who frequently have to transfer are one of the largest groups of riders and the group most associated with continued ridership during the pandemic. Future policies should recognize that this group uses the system when and where overall ridership is low, and direction of resources away from these parts of the system will disproportionately hurt riders who are most reliant on public transit and therefore have the most to gain from increased investment. The CTA should work in conjunction with other stakeholders to ensure that as public transit ridership recovers from the pandemic, attention is paid not only to those riders who need to be brought back onto the system, but also those who never left it.