Automated Fare Collection System & Urban Public Transportation: An Economic & Management Approach To Urban Transit Systems
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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.
Clifford N. Opurum
Clifford N. Opurum, Ph.D., MCIT is an Assistant Professor of Economics and an Associate Professor of Management at The City University of New York and Pratt Institute, respectively. He is the author of “Globalization and Regional Integration: The ECOWAS Model”, published as Chapter 16 in “Globalization of Business: Theories and Strategies for Tomorrow’s Managers”, First Edition, Adonis & Abbey, London, October 2008. From 1991 to 1993, he authored the New York Metropolitan Area Regional Transportation Status Report as the Project Manager for the New York-New Jersey-Connecticut Tri-State Regional Transportation and Demographics Monitoring Project at the New York Metropolitan Transportation Council of the New York State Department of Transportation. He was a member of the New York City Transportation Task Force and Senior Citizens Transportation Advisory Committee (1988-91), which designed and implemented the New York City premier Para-transit Program (Access-A-Ride). He is also a Corporate Member of The Chartered Institute of Transport, Member, The British Institute of Management, Member, Institute of Transportation Engineers, Associate Member, Institute of Transportation Administration, and Member, Society for the Advancement of Management.
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Automated Fare Collection System & Urban Public Transportation - Clifford N. Opurum
Copyright 2012 Clifford N. Opurum.
All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the written prior permission of the author.
ISBN:
978-1-4669-1391-2
(sc)
ISBN:
978-1-4669-1390-5
(hc)
ISBN:
978-1-4669-1392-9
(e)
Library of Congress Control Number: 2012903178
Because of the dynamic nature of the Internet, any web addresses or links contained in this book may have changed since publication and may no longer be valid. The views expressed in this work are solely those of the author and do not necessarily reflect the views of the publisher, and the publisher hereby disclaims any responsibility for them.
Any people depicted in stock imagery provided by Getty Images are models, and such images are being used for illustrative purposes only.
Certain stock imagery © Getty Images.
Trafford rev. 06/29/2023
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North America & international
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CONTENTS
Acknowledgements
Preface
About the Author
PART ONE:
Public Transportation, Urban Economy and
Automation in Fare Collection
Chapter 1
INTRODUCTION
General Overview of Public Transportation and Urban Economy
Historical Background
Demographic And Economic Trends of
The New York Metropolitan Region
New York City Rail Rapid Transit System:
Capacity, Management And Organization
New York City Subway Fare: Structure And Collection Method
Key Transit Performance Measures
Chronology of Key Events On The New York City
Automated Fare Collection Scheme
Organization of The Book
Chapter 2
AUTOMATION AND TRANSIT FARE
Introduction
Automation And Transit Fare Collection
Reasons Behind Automation In Fare Collection
Other Developments on Fare Cards
Advantages And Disadvantages of Automated Fare Collection
Prior Studies On The New York City Subway
PART TWO:
Models of Transportation Pricing
Chapter 3
PRINCIPLES OF PRICING AND RELATED MODELS
Introduction
Principles of Public Transportation Pricing
Basic Pricing Principles
Second-Best Pricing Rules
Peak Load Pricing
Other Alternative Pricing Practices
Transit Travel Demand Models
General Transit Travel Demand Function
Fare Elasticities And Elasticity-Based Transit Travel
Demand Models
Aggregate Methods
Disaggregate Methods
Choice Theories
Revealed Preference Data Model
Stated Preference Data Model
Summary
PART THREE:
Transportation Research Methods and Models
Chapter 4
RESEARCH METHODS
Introduction
Limitations and Key Assumptions in Research
Theoretical Framework And Research Methodology
Problem Statement And Research Questions
Research Data
The Research Process
Research Survey And Data Collection Process
Population And Sample Size
Research Models and Hypothesis Testing
Aggregate Model
Disaggregate Model
Research Hypothesis
Cost-Benefit Analysis
Overview And Definition
The Four Sequential Steps in Cost-Benefit Analysis
Evaluation Criteria, Formula And Cost-Benefit Elements
Summary
Chapter 5
RESEARCH SURVEY
Introduction
Conducting Pilot Survey
How And When To Conduct Main Research Survey
Profile of Survey Respondents Including
Their Socioeconomic Characteristics
Main Research Survey: Analysis of Findings
Ridership Frequency, Origin And Destination
Transit Users’ Preference of Fare Payment Alternative
System Performance
Research Survey Results Compared To Other Survey Results
Summary
PART FOUR:
Approaches and Trends in Urban Transit Ridership
Chapter 6
AGGREGATE APPROACH TO TRANSIT USAGE
Introduction
Aggregated New York City Transit Ridership Trends
Overall Transit Ridership Trend
Subway (Metro) Ridership Trend
Bus Transit Ridership Trend
Pre- Vs. Post-MetroCard Growth Rates
Empirical Results of The Aggregate Model
Combined Bus And Subway Constant Elasticity Model Results
Subway (Train)-Based Constant Elasticity Model Results
Bus System-Based Constant Elasticity Model Results
Variable or Proportional Elasticity Models
Model Results Summary
Model Estimates And Ridership Predictions
Test of Research Hypothesis
Transit Demand Forecasting
New York City Transit Ridership Forecasts:
2001, 2002 And 2003
Summary
Chapter 7
DISAGGREGATE APPROACH TO TRANSIT USAGE
Introduction
The Disaggregate Data
Model Development
Model Calibration And Results
Base Model And Segmented Models
Preferred (Merged) Model And Results
Summary
Chapter 8
INVESTMENT APPRAISAL
Introduction
Metropolitan Transportation Authority MTA)
Estimates of Costs And Benefits
Metropolitan Transportation Authority (MTA)
Costs Estimates
Metropolitan Transportation Authority (MTA)
Benefits Estimates
Estimates of Costs And Benefits
Cost Estimates
Estimates of Benefits
Assumptions Behind The Alternative Scenarios
Analysis Results
Basic Appraisal (Base Model)
Sensitivity Tests
Alternative Appraisal I
Alternative Appraisal II
Alternative Appraisal III
Alternative Appraisal IV
Unquantified Effects
Comparisons And Conclusions
PART FIVE:
Epilogue
Chapter 9
CONCLUSIONS AND RECOMMENDATIONS
Introduction
A Reflection On The Objectives And Findings
Conclusions
Summary of What We Have Learned
Research Findings By Segments
Aggregate Findings
Disaggregate Findings
Investment Appraisal Findings
Applications And Implications Of The Research Findings
Comments And Recommendations
Future Research Considerations
Appendices
Plates and Exhibits
Glossary
References
Dedicated to my beloved wife and children.
ACKNOWLEDGEMENTS
First and foremost, I am very grateful to the Almighty God, for His divine wisdom, knowledge, and understanding, and for the strength, courage and perseverance that brought me this far in my pursuit for and contribution towards knowledge.
My special thanks and gratitude to my beloved parents (may their souls rest in peace), and to my dear wife and children for unconditionally supporting my efforts, and for enduring my inadequate bonding with them for some years due to this effort. My gratitude also goes to my dear siblings for their strong moral support.
Indeed, I am very much indebted to my research supervisors at the Institute for Transport Studies, University of Leeds, Professor Emeritus Christopher A. Nash and Dr. Jeremy P. Toner without whom the production of this book would not have been accomplished. They were very much inspirational to my completing the research work from which this book was produced. I will always remember them in every step I take along my career path. I also thank my dear friend and associate, Dr. Jimoh E. Ikhide for his helpful suggestions and moral support in my research efforts.
My gratitude also goes to the staff of the Freedom of Information Law Office of the New York City Transit Authority who provided most of the empirical data on the New York City Subway and Buses, and the MetroCard. Without those data, my research efforts would have been frustrated. I am equally grateful to each and every New Yorker (over a thousand individuals) who participated in my research surveys conducted in 2001 and 2002, and to the staff of the New York City Straphangers Campaign for the useful information they provided to support this effort.
Finally, I must thank my former colleagues, friends and the staff at the Institute for Transport Studies (ITS), University of Leeds for their moral support and encouragement that helped in bringing my research work to fruition. Particularly, I am thankful to Dr. Paul Firmin for the useful materials he provided on the SPSS data analysis program, as well as Dr. Gerard Whelan and John Nellthorp, Senior Research Fellows (as of that time), for their helpful discussions on the ALOGIT version 4.0 program (used to develop the research models) and on cost-benefit analysis, respectively.
PREFACE
This book is the product of several years of doctoral research work at the Institute for Transport Studies, University of Leeds, England. The production of this first edition of Automated Fare Collection System & Public Transportation: An Economic & Management Approach to Urban Transit Systems was motivated by the desire to provide an insight into the operations of mass transit, and to present very relevant ideas required to make rational economic decisions in urban public transportation pricing and fare collection methods. These ideas, if cautiously and effectively implemented, will serve as a means to stimulating ridership, decongesting urban roadways and ultimately reducing air pollution.
The fiscal crisis of the 1970’s (the aftermath of a 1966 12-day strike by the City workers) resulted in nearly a decade of neglect of the New York City transit infrastructure. Particularly, the production of this edition was prompted by the uncomfortable experiences and observations noted on the adverse effects of the early 1990’s economic recession in the United States on transit ridership in New York City and in many other urban centers in the nation. These adverse conditions, which eventually led to the introduction of the Automated Fare Collection system in the New York City Transit system in early 1994, were quite disturbing. Automated Fare Collection system was originally introduced in the City’s transit system as a marketing strategy to stimulate the declining transit ridership.
The purpose of this edition is to present to university and college students, public transportation operators and urban transit users, as well as to society at large an evaluation of the impact of the automated fare collection (AFC) method on urban rail public transportation systems. It will be particularly resourceful to students who are majoring in one or more of the following fields: transportation, urban economics, managerial economics, urban community, urban planning, and urban policy. Its objectives are threefold:
• To identify the financial viability of the investment on the automated fare collection system;
• To show that ridership and operating revenue will improve if automated fare collection system is used as opposed to the manual system of fare collection; and
• To understand the over-all impact of the automated fare collection on urban public transportation systems.
In general, urban public transportation otherwise known as mass transit (or people’s mover) is the engine that drives the urban economy. It represents one of the observable elements (artifacts) of urban centers’ culture. Without mass transit, the urban economy will be paralyzed. Also, because it is designed to operate as a social service available and affordable to every member of society who needs it, mass transit systems often operate as government authorized monopolies subsidized with tax revenue. The initial fare paid for a ride on the New York City Subway at its commission in 1904 for instance was a nickel, that is, a single piece of five cents coin and which represented a large percentage of the people’s wages as of that period. In most cases, mass transit is designed and organized to suit the business activities schedules of the urban center. The history of the development of any urban center will be incomplete without a mention of the role of mass transit in the whole process. In deed the role of mass transit as a catalyst of industrial revolution and urbanization cannot be over emphasized.
In the case of the New York City rail rapid transit system, the present day New York City Subway, was originally a number of fragmented rail rapid transit lines operated by different private for-profit rail transit operators. As a way of retaining some pieces of the City’s history, some of the names of these private transit operators, which date as far back as 1827, were later used to name the different train lines of the New York City Subway as seen today. However, it was not until 1953 that the present operator of the New York City Subway, the New York City Transit Authority (now known as the MTA New York City Transit) was created under the New York State Legislature as a public corporation to manage and operate all city-owned bus, subway and trolley routes. Also, because New York City operates as a twenty-four hour, seven days a week city (the so called 24/7 operating schedule), the New York City Subway was also designed and organized to operate in the same manner.
Automation in transit fare collection is a fairly new idea in urban transit systems compared to the age of the transit systems and to New Yorkers in particular. However, urbanites are quickly adopting and embracing this special piece of new technology. Our research study on automated fare collection and rail rapid transit the case of New York (1998-2005), found that automated fare collection (AFC) system is preferred over the traditional mechanical system of fare collection and will make positive impact on both transit ridership and revenue, if efficiently operated. Over 90% of New Yorkers who participated in our research survey approved the AFC system. Our research also found that the society would be better off financially (by at least $2.5 billion over a 30-year period) if the benefits of automation in transit fare collection are fully utilized. In contrast to the MTA’s view, we found that the MetroCard is not commercially viable. Automation in fare collection has in deed influenced the travel pattern of most New Yorkers, as the study revealed. In particular, the free bus/train transfer and fare discount components of the AFC have encouraged more ridership on the Subway and buses, evidenced by the upward shifting of the demand curve by 10.3 percent of the entire transit ridership. A free transfer was valued at $0.77 by persons who are both full-time employed and student, with an average for all transit user groups estimated at $0.22. The most influencing factor in making choice of transit ticket is trip frequency.
Fare elasticity was estimated at –0.25 for the entire transit system, at –0.2 for the Subway, and at –0.35 for the bus. These fare elasticities are in accord with the traditionally used values in the industry, and with those from other studies in similar urban locations. However, the study also found that a fare increase would result in a reduction in the transit user benefits, thereby discouraging transit patronage. The need to educate the public to more efficiently use the new fare collection system still remains. These findings will serve as useful information to users and providers of transit service including planners and scholars.
Suitable investment appraisal technique (cost-benefit analysis, using the net present value, NPV approach) is used in conjunction with the results of elasticity-based transit demand models and ticket choice (logit) models in determining the profitability of the AFC system. Both management and economic approaches are adopted in the evaluation process. Hypothesis tests were performed to determine the degree of relationship, if any, between subway performance and AFC system. Comparisons of the subway operating statistics before and after the introduction of the AFC system are also a component of this edition. Scheduled site visits were made at a selected number of New York City Subway stations at different days of the week to observe subway riders’ behaviors and attitudes as they pay their fares with the automated fare card, MetroCard. Some elements of consumer behavior peculiar to urban travelers are also identified in this text. The primary data for the disaggregate model were collected using appropriately structured survey questionnaires targeted to both existing and potential transit riders. Secondary and other empirical data were also obtained primarily from the operating statistics of the New York City Transit and from other known sources.
To enhance readability and cohesiveness, and for the convenience of the reader, this book has been carefully organized in five major parts. In Part One, public transportation, urban economy and automation in fare collection are presented in order to give a historical background and overview, and to show the relationship between mass transit and the urban economy. A methodological framework, which shows a step-by-step process followed to accomplish the tasks of the referenced research work, is also presented in Part One. The models of transportation pricing are presented in Part Two. Part Three deals with transportation research methods and models, while in Part Four approaches and trends in mass transit ridership are presented. The last section, Part Five, is the epilogue and it presents a summary and conclusions of this first edition. Expert recommendations on efficient, cost-effective strategies to mass transit operation and management are also provided.
Clifford N. Opurum, Ph.D., MCIT
ABOUT THE AUTHOR
Clifford N. Opurum, Ph.D., MCIT is currently an Assistant Professor of Economics at the City University of New York (CUNY), and a Visiting Associate Professor of Management at Pratt Institute in New York City, where he has been teaching Principles of Management in the University’s School of Architecture since 2008. Since joining the City University of New York Faculty in 2006, Dr. Opurum has been teaching economics and business management courses at various campuses of the University. He has also taught at two campuses of the State University of New York (SUNY New Paltz and F.I.T. SUNY). In the 2008/9 Academic Year, Dr. Opurum taught various micro and macroeconomics courses (including Economics of Globalization) as a full-time Visiting Assistant Professor of Economics at the State University of New York at New Paltz, and in 2009, at the Fashion Institute of Technology (F.I.T.) as an Adjunct Faculty (Economics). He was also an Adjunct Instructor of Business Administration and Management at Briarcliffe College in Bethpage, New York, Adjunct Professor of Management at Berkeley College in New York City, and a visiting faculty at the College of New Rochelle, New York where he has taught a course in Urban Community.
Dr. Opurum holds a Diploma (B.A. Honors Degree) in Transport Studies from University of London, England (1982), a Master of Science Degree in Transportation Management from State University of New York Maritime College (1985), a Master of Arts Degree in Economics from Fordham University, New York (1987), a Master of Science Degree in Transportation Planning and Engineering from the Polytechnic University, New York (1993), and a Ph.D. from the University of Leeds, England (2005). Dr. Opurum is also a Corporate Member of The Chartered Institute of Transport (MCIT), an Associate Member of the Institute of Transportation Administration, Member of the Institute of Transportation Engineers, and a Member of the Society for the Advancement of Management (SAM).
His research interest is in the areas of international/global business, strategic management, economics, sea, land and air transportation management, planning and engineering, and urban policy. He has attended some international business management and other academic conferences (including one organized by the Federal Reserve Bank of New York at its corporate offices in New York City), and presented and reviewed some research papers at some of the conferences he attended. His work has appeared in proceedings of both local and international business conferences. His recent publications include Globalization and Regional Integration: The ECOWAS Model, which was published as Chapter 16 in a textbook titled Globalization of Business: Theories and Strategies for Tomorrow’s Managers
, First Edition, and published by Adonis & Abbey Publishers Ltd, London, October 2008.
Dr. Opurum’s unpublished peer-reviewed research papers include A Review of the Relationship Between Public transportation Pricing and Travel Demand: An Exploratory Study
, which was presented at the 2006 International Business Conference in Orlando, Florida held by the Society for the Advancement of Management. Some of his work-in-progress research papers include Transportation Alternative Energy and Social Entrepreneurship
, and Entrepreneurship and Small Business Development
. In 2008, he presented a research paper titled Regional Economic Integration
at the First World Diaspora Conference sponsored by the First World Chapter of the State University of New York at New Paltz Alumni Association and the Departments of Black Studies and Foreign Languages, and the Latin-American Studies. Dr. Opurum was also a Special Guest Speaker at the State University of New York at New Paltz Students In Free Enterprise (SIFE) event held on November 7, 2008, where he delivered a speech on Entrepreneurship and Small Business Development
.
Prior to his teaching appointments, Dr. Opurum held several management positions in both the public and private sectors within the New York Metropolitan Region most of which are in the transportation industry. From 1991 to 1993, he authored the New York Metropolitan Area Regional Transportation Status Report as the Project Manager for the New York-New Jersey-Connecticut Tri-State Regional Transportation and Demographics Monitoring Project at the New York Metropolitan Transportation Council of the New York State Department of Transportation. He was a member of the New York City Transportation Task Force and Senior Citizens Transportation Advisory Committee (1988-91), which designed and implemented the New York City premier Para-transit Program otherwise known as the Access-A-Ride, during the administrations of Mayors Edward I. Koch and David N. Dinkins. During that same period, he worked for the New York City Department for The Aging (DFTA) as a Community Coordinator (Transportation and Social Services) and subsequently, as a Program Officer (Contract Manager).
In 1994, Dr. Opurum worked with the consulting firm of Louis Berger & Associates, Incorporated as a Senior Transportation Planner at the company’s East Orange, New Jersey corporate offices, where he supervised field assignments on public transportation and highway improvement projects under contracts with Government agencies.
Dr. Opurum also was a Transportation Planner from 1997 to 2004 with the Metro-North Railroad of the New York Metropolitan Transportation Authority, where he was the Project Manager (Planner) for Ridership Analysis and Reports.
Dr. Opurum’s extra-curriculum activities include doing God’s work as an Ordained Deacon and a Chorister, practicing real estate as a Real Estate Agent, doing notary services as a Commissioned Notary Public and spending quality time with his family as a father and a husband. He is married and lives in New York with his lovely wife and children.
PART ONE:
PUBLIC TRANSPORTATION, URBAN ECONOMY AND
AUTOMATION IN FARE COLLECTION
CHAPTER 1
INTRODUCTION
General Overview of Public Transportation and Urban Economy
In general, urban public transportation otherwise known as mass transit (or people’s mover) is the engine that drives the urban economy. It represents one of the observable elements (artifacts) of urban centers’ cultures and has developed from its infant stage of horse-drawn carriages or the horse-car era (1855-1890) to present day jet speed rail systems. Without mass transit, the urban economy will be literarily paralyzed. Also, because it is designed to operate as a social service available and affordable to every member of society who needs it, mass transit systems often operate as government authorized monopolies subsidized with tax revenue. The initial fare paid for a ride on the New York City Subway at its commission in 1904 for instance was a nickel, that is, a single piece of five cents coin and which represented a large percentage of the people’s wages as of that period. In most cases, mass transit is designed and organized to suit the business activities schedules of the urban center. The history of the development of any urban center will be incomplete without a mention of the role of mass transit in the whole process. In deed the role of mass transit as a catalyst of industrial revolution and urbanization cannot be over emphasized.
In the case of the New York City rail rapid transit system, the present day New York City Subway was originally a number of fragmented rail rapid transit lines operated by different private for-profit rail transit operators. As a way of retaining some pieces of the City’s history, some of the names of these private transit operators, which date as far back as 1827, were later used to name the different train lines of the New York City Subway as seen today. However, it was not until 1953 that the present operator of the New York City Subway, the New York City Transit Authority (now known as the MTA New York City Transit) was created under the New York State Legislature as a public corporation to manage and operate all city-owned bus, subway and trolley routes. Also, because New York City operates as a twenty-four hour, seven days a week city (the so called 24/7 operating schedule), the New York City Subway was also designed and organized to operate in the same manner.
Automation in transit fare collection is a fairly new idea in urban transit systems compared to the age of the transit systems and to New Yorkers in particular. However, urbanites are quickly adopting and embracing this special piece of new technology. Our research study on automated fare collection and rail rapid transit the case of New York (1998-2005), found that automated fare collection (AFC) system is preferred over the traditional mechanical system of fare collection and will make positive impact on both transit ridership and revenue, if efficiently operated. Over 90% of New Yorkers who participated in our research survey approved the AFC system. Our research also found that the society would be better off financially (by at least $2.5 billion over a 30-year period) if the benefits of automation in transit fare collection are fully utilized. In contrast to the MTA’s view, we found that the MetroCard is not commercially viable. Automation in fare collection has in deed influenced the travel pattern of most New Yorkers, as the study revealed. In particular, the free bus/train transfer and fare discount components of the AFC have encouraged more ridership on the Subway and buses, evidenced by the upward shifting of the demand curve by 10.3 percent of the entire transit ridership. A free transfer was valued at $0.77 by persons who are both full-time employed and student, with an average for all transit user groups estimated at $0.22. The most influencing factor in making choice of transit ticket is trip frequency.
Fare elasticity was estimated at -0.25 for the entire transit system, at -0.2 for the Subway, and at -0.35 for the bus. These fare elasticities are in accord with the traditionally used values in the industry, and with those from other studies in similar urban locations. However, the study also found that a fare increase would result in a reduction in the transit user benefits, thereby discouraging transit patronage. The need to educate the public to more efficiently use the new fare collection system still remains. These findings will serve as useful information to users and providers of transit service including planners and scholars.
Suitable investment appraisal technique (cost-benefit analysis, using the net present value, NPV approach) is used in conjunction with the results of elasticity-based transit demand models and ticket choice (logit) models in determining the profitability of the AFC system. Both management and economic approaches are adopted in the evaluation process. Hypothesis tests were performed to determine the degree of relationship, if any, between subway performance and AFC system. Comparisons of the subway operating statistics before and after the introduction of the AFC system are also a component of this