Download or read book Automated Transit Ridership Data Collection written by Kirk E. Barnes and published by . This book was released on 1990 with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Automated Transit Ridership Data Collection written by Kirk E. Barnes and published by . This book was released on 1989 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Automated Fare Collection System and Urban Public Transportation written by Clifford N. Opurum and published by Trafford Publishing. This book was released on 2012-02 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: With its unique features (presented in nine chapters grouped into five major parts), Automated Fare Collection System And Urban Public Transit: An Economic & Management Approach To Urban Transit Systems provides a wealth of resourceful information to everyone with interest in mass transit: Part I: Public Transportation, Urban Economy And Automation in Fare Collection Part II: Models of Transportation Pricing Part III: Transportation Research Methods And Models Part IV: Approaches And Trends in Urban Transit Ridership Part V: Epilogue In these parts of the book, Clifford N. Opurum reveals the impact of the automated fare collection system on mass transit and particularly, on the New York City rail rapid transit system. Various effective urban public transportation pricing techniques are presented. Transportation research methods and models including the alogit model and different approaches to transportation research analysis are featured. Alternative scenarios of cost-benefit analysis (CBA) are used extensively along with other feasibility studies strategies to determine the economic and social benefits of the automated fare collection system. The author concludes that as in the case of other industrial sectors, the financial health of the transit industry is very much dependent upon the level of transit patronage, and that automation in fare collection has further encouraged the later. Furthermore, he added that automated fare collection (AFC) is preferred over the mechanical system of fare collection and will make positive impact on both transit ridership and revenue, if efficiently operated. Finally, he stressed that society would be better off financially if the benefits of automation in transit fare collection are fully utilized, and that automation in fare collection has indeed influenced the travel pattern of most mass transit patrons.
Download or read book Collection and Application of Ridership Data on Rapid Transit Systems written by Richard H. Pratt and published by . This book was released on 1991 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Automated Transit written by Rongfang Liu and published by John Wiley & Sons. This book was released on 2016-09-23 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive discussion of automated transit This book analyzes the successful implementations of automated transit in various international locations, such as Paris, Toronto, London, and Kuala Lumpur, and investigates the apparent lack of automated transit applications in the urban environment in the United States. The book begins with a brief definition of automated transit and its historical development. After a thorough description of the technical specifications, the author highlights a few applications from each sub-group of the automated transit spectrum. International case studies display various technologies and their applications, and identify vital factors that affect each system and performance evaluations of existing applications. The book then discusses the planning and operation of automated transit applications at both macro and micro levels. Finally, the book covers a number of less successful concepts, as well as the lessons learned, allowing readers to gain a comprehensive understanding of the topic. Key features: Provides a thorough examination of automated transit applications, their impact and implications for society Written by the committee chair for the Automated Transit Systems Transportation, Research Board Offers essential information on planning, costs, and applications of automated transit systems Covers driverless metros, automated LRT, group and personal rapid transit, a review of worldwide applications Includes capacity and safety guidelines, as well as vehicles, propulsion, and communication and control systems This book is essential reading for engineers, researchers, scientists, college or graduate students who work in transportation planning, engineering, operation and management fields.
Download or read book Traveling Smart written by and published by . This book was released on 2005 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Passenger Counting Systems written by Daniel K. Boyle and published by Transportation Research Board. This book was released on 2008 with total page 83 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report documents the state of analytical tools and technologies for measuring transit ridership via automatic passenger counter systems and other subsidiary data.
Download or read book Handbook of Automated Data Collection Methods for the National Transit Database written by Victoria Perk and published by . This book was released on 2003 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Modular Approach to On board Automatic Data Collection Systems written by Lawrence E. Deibel and published by Transportation Research Board National Research. This book was released on 1984 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advanced Public Transportation Systems written by Marina Drancsak and published by . This book was released on 1992 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: A compendium of bibliographic references dealing with the application of 3smart car2 and fleet management technologies to bus systems.
Download or read book Collection and Application of Ridership Data on Rapid Transit Systems written by National Research Council (U.S.). Transportation Research Board and published by . This book was released on 1991 with total page 63 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Smart Card Data Mining and Inference for Transit System Optimization and Performance Improvement written by Xiaolei Ma and published by . This book was released on 2013 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: The United States energy information administration states that more that 50% of commuters drive their own cars to work. This implies that traffic congestion can be mitigated if public transit service can take a larger share of commuting trips. However, a commuter's choice depends on the utility associated with each available mode. Transit service must be improved to increase its utility and therefore attract more riders. To improve customer satisfaction and reduce operation costs, transit authorities have been striving to monitor their transit service quality and identify the key factors to attract the transit riders. Traditional manual data collection methods are unable to satisfy the transit system optimization and performance measurement requirement due to their expensive and labor-intensive nature. The recent advent of passive data collection techniques (e.g. Automated Fare Collection and Automated Vehicle Location) has shifted a data-poor environment to a data-rich environment, and offered opportunities for transit agencies to conduct comprehensive transit system performance measures. Although it is possible to collect highly valuable information from ubiquitous transit data, data usability and accessibility are still difficult to improve due to the following reasons: (1) most Automatic Fare Collection (AFC) systems are not designed for transit performance monitoring, hence additional passenger trip information cannot be directly retrieved. (2) Each passive data collection method has its intractable disadvantages, and requires additional domain knowledge to process. Interoperating and mining heterogeneous datasets would enhance both the depth and breadth of transit-related studies. (3) The amount of data involved is increasingly growing, and traditional data processing applications might not be suitable to handle in an efficient fashion. Such data barriers hinder the development of a large-scale transit performance monitoring system. This study attempts to fill these research gaps by developing a series of data mining algorithms for transit rider's origin and destination information extraction with transit Smart Card (SC) data. The primary data source of this study comes from the AFC system in Beijing, where a passenger's boarding stop (origin) and alighting stop (destination) on a flat-rate bus are not recorded on the check-in and check-out scan. A Markov chain based Bayesian decision tree algorithm is proposed to mine the passengers' origin information using SC data. In addition, this study further proposes an integrated data mining procedure that models the travel patterns and regularities of transit riders. This procedure is able to incorporate transit riders' trip chains based on their temporal and spatial characteristics, and capture their historical travel patterns in an efficient manner. Then, on the basis of the identified travel patterns, the individual-level destination can be estimated with transfer analysis through a multi-day observation. Finally, to remove data accessibility barriers, facilitate data sharing and visualization, and conduct online data analysis for transit performance measures, an e-science of transportation platform entitled TransitNet is developed. TransitNet enables the connections and interoperability among the heterogeneous transit data sets including SC data, GPS data and Geographic Information System (GIS) data. This platform not only serves as a data-rich visualization platform to monitor transit network performance for planning and operations, it also intends to take advantage of e-science developments for data-driven transportation research and applications.
Download or read book Data Analysis for Bus Planning and Monitoring written by Peter Gregory Furth and published by Transportation Research Board. This book was released on 2000 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt: This synthesis reviews the state of the practice in how data are analyzed. It addresses methods used to analyze data and what computer systems are used to store and process data. It also covers accuracy issues, including measurement error, and other problems including error in estimates. This document from the Transportation Research Board addresses agency experience with different data collection systems, giving attention to management error, the need for sampling, and methods for screening, editing, and compensating for data imperfection. Sample reports from selected U.S. and Canadian transit agencies are reproduced in this synthesis.
Download or read book A Toolkit for Reporting Rural and Specialized Transit Data written by and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This digest presents the results of National Cooperative Highway Research Program (NCHRP) Project 20-65, Task 28, An Analysis of Automated Transit Data Collection and Analysis Processes in State DOT Transit Units and a Toolkit for Next Generation Transit Data Analysis. The objective of this research was to identify the data reporting requirements of state departments of transportation (DOTs) to meet the Federal Transit Administration's (FTA's) requirements, and develop a set of tools to assist state DOTs and individual rural and specialized transit providers in data collection, analysis, management, and reporting. The objective was also to conduct an analysis of automated transit data collection and reporting processes in state DOT transit units. Tasks included a review of FTA's requirements for rural and specialized transit data reporting; issuance of a questionnaire to DOTs to learn about data reporting collection processes and needs; and the preparation of mini-case studies to highlight DOT automated transit data collection and reporting processes.
Download or read book Passenger Counting Technologies and Procedures written by Daniel K. Boyle and published by . This book was released on 1998 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summarizes information from selected transit agencies about benefits and problems associated with each passenger counting technology, as reported by current users. It also presents advice for agencies considering each technology.
Download or read book Transit Fare Policy written by Andrew William Stuntz and published by . This book was released on 2018 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Incremental changes in fare policy can have substantial and long-term impacts on transit ridership and revenue, but they are often driven by near-term revenue needs and determined within short time frames with limited analysis. This thesis proposes a procedural framework to organize analysis of incremental fare changes, linking exploration of current pricing strategies to estimation of behavioral parameters and modeling of fare change scenarios. Within this framework, empirical case studies are presented at two of the five largest transit agencies in the U.S. – the Massachusetts Bay Transportation Authority (MBTA) and the Chicago Transit Authority (CTA). These agencies have increased the price of passes relative to pay-per-use fares in recent years, motivating three particular applications that make extensive use of automated fare collection (AFC) data: 1) differentiating employer-based, pre-tax, automatically-renewing pass sales from other pass sales, 2) estimating cost sensitivity of both ridership frequency and fare product choice using only recent experience at a single agency, and 3) incorporating fare product choice in a traditional elasticity spreadsheet model to predict impacts of fare change scenarios. Passes sold through employer programs and online are found to have lower use than other passes, contributing substantially to revenue while increasing ridership; expanding these programs or extending tax benefits to all transit commuters could further increase revenue and ridership. Individual-level AFC data are used to estimate fare-related behavioral parameters: resulting MBTA elasticity estimates of -0.7 for pay-per-use and -0.5 for employer-based passes are higher than current agency assumptions of -0.25 and -0.15, use of a CTA 30-day or 7-day pass appears to boost a customer’s ridership by up to 11% or 21% (respectively), and a CTA product choice model is estimated without reliance on stated preference data. A CTA fare model combining product choice and elasticities predicts substantial switching between fare products when pass multiples are changed, and a simplified model illustrates that passes should be priced below revenue maximization to capture low-cost gains in ridership. The procedural framework in this thesis applies to all transit agencies, and the empirical applications are relevant to agencies that collect AFC data and offer multiple payment structures.
Download or read book Development of Guidelines for Collecting Transit Ridership Data written by Hong Yang and published by . This book was released on 2022 with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transit ridership is a critical determinant for many transit applications such as operation optimizations and project prioritization under performance-based funding mechanisms. As a result, the quality of ridership data is of utmost importance to both transit administrative agencies and transit operators. Many transit operators in Virginia report their ridership data to the Department of Rail and Public Transportation (DRPT) and the National Transit Database (NTD). However, with no specific guidelines available to transit agencies in Virginia for collecting ridership data, the heterogeneous mixture of diverse data collection methods and technologies has often raised concerns about the consistency and quality of the reported data. This study investigated the ridership data collection practices adopted by transit agencies in Virginia and developed high-level guidelines to facilitate data collection with improved quality. Specifically, it examined the data collection practices discussed in the literature and those adopted by local transit agencies in Virginia. The research team surveyed 39 transit agencies to obtain a clear understanding of their current practices in data collection scope, technological solutions, sampling and estimation techniques, and data storage and reporting, among others. To evaluate the potential estimation errors based on sampled data, the researchers requested and obtained actual data from five transit agencies of different sizes in Virginia. Comparisons between selected data collection solutions were conducted, and the estimation errors were tested based on different sample data from these agencies. Based on the findings from literature review, surveys, and analysis of actual data, a set of high-level data collection guidelines was proposed. This study recommends that DRPT distribute the developed guidelines among transit agencies in Virginia to help facilitate improved data collection practices across Virginia. It is also recommended that DRPT require the submission of each agency’s ridership data collection methods and correction (adjustment) procedures, in addition to the agency’s reported ridership data.
