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Wang, Qian. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2009. / Includes bibliographical references (p. 71-74). / Abstract also in Chinese. / Abstract --- p.i / Acknowledgement --- p.iii / Chapter 1 --- Introduction --- p.1 / Chapter 2 --- A Review of Pricing in Internet Industry --- p.5 / Chapter 2.1 --- Static Pricing --- p.6 / Chapter 2.1.1 --- Flat-rate Pricing --- p.6 / Chapter 2.1.2 --- Usage-based Pricing --- p.7 / Chapter 2.1.3 --- Paris Metro Pricing --- p.8 / Chapter 2.2 --- Dynamic Pricing --- p.9 / Chapter 2.2.1 --- Smart-market Pricing --- p.9 / Chapter 2.2.2 --- Responsive Pricing --- p.11 / Chapter 2.2.3 --- Edge Pricing --- p.12 / Chapter 2.3 --- Comparisons --- p.14 / Chapter 2.4 --- Concluding Remarks --- p.17 / Chapter 3 --- Uplink Pricing --- p.18 / Chapter 3.1 --- Introduction --- p.18 / Chapter 3.2 --- Model Description --- p.26 / Chapter 3.3 --- Uplink Pricing in a Competitive Market --- p.36 / Chapter 3.4 --- The Cooperative Strategy with Uplink Pricing --- p.40 / Chapter 3.4.1 --- The Cooperative Case --- p.41 / Chapter 3.4.2 --- The Threat Strategy --- p.45 / Chapter 3.5 --- Further Discussion --- p.47 / Chapter 3.5.1 --- Accounting Cost --- p.47 / Chapter 3.5.2 --- Peer-to-Peer Locality --- p.48 / Chapter 3.6 --- Related Works --- p.48 / Chapter 3.7 --- Concluding Remarks --- p.49 / Chapter 4 --- Viability of Paris Metro Pricing --- p.51 / Chapter 4.1 --- The Model --- p.52 / Chapter 4.2 --- Flat-rate Pricing versus Paris Metro Pricing --- p.54 / Chapter 4.2.1 --- One-channel Flat-rate Pricing --- p.55 / Chapter 4.2.2 --- Two-Channel Identical Pricing --- p.56 / Chapter 4.2.3 --- Flat-rate Pricing versus Two-Channel Iden-tical Pricing --- p.57 / Chapter 4.2.4 --- Flat-rate Pricing versus Paris Metro Pricing --- p.59 / Chapter 4.3 --- Case Studies --- p.60 / Chapter 4.4 --- Concluding Remarks --- p.62 / Chapter 5 --- Conclusion --- p.63 / A Equation Derivation --- p.65 / Chapter A. --- l Proof for Lemma 3.3.2 --- p.65 / Bibliography --- p.71

The Atlanta region will soon be faced with a choice as to how it will go about planning for and implementing its next regional fare collection system that will replace the current BREEZE system. In 2006, MARTA became the first transit agency in the United States to implement an all contactless smartcard for use on its services. However, there have been many advances in new technologies and the consumer payment preferences have evolved since the initial implementation. These developments, coupled with the rapid consumer adoption of smartphones and changing attitudes within the financial payments industry towards transit properties, have recently led four major transit agencies within North America to implement new fare collection systems based on open payments, the development of mobile ticketing applications, or a combination. This research uses a case study methodology to answer several questions related to the planning and implementation of regional fare collection systems in Chicago (CTA), Dallas (DART), Philadelphia (SEPTA) and Toronto (TTC). Based on the experience of the case study agencies, the implementation of Atlanta's next fare collection system is sure to be a long and arduous process. However, by utilizing the lessons learned from DART, CTA, SEPTA and TTC, MARTA and the other regional operators (Cobb Community Transit, Gwinnett County Transit and the Georgia Regional Transportation Authority) will be better poised to provide their patrons with additional means of paying fares while, at the same, minimizing the disruption to the existing fare collection system during the transition period.

published_or_final_version / abstract / toc / Transport Policy and Planning / Master / Master of Arts in Transport Policy and Planning

published_or_final_version / Transport Policy and Planning / Master / Master of Arts

published_or_final_version / abstract / toc / Transport Policy and Planning / Master / Master of Arts in Transport Policy and Planning

Thesis (M.S.)--Florida State University, 2006. / Advisor: Pamela Sissi Carroll, Florida State University, College of Education, Dept. of Middle and Secondary Education. Title and description from dissertation home page (viewed June 7, 2006). Document formatted into pages; contains viii, 64 pages. Includes bibliographical references.

Prediction of airline fares within the United States including Alaska & Hawaii is required for transportation mode choice modeling in impact analysis of new modes such as NASA's Small Airplane Transportation System (SATS). Developing an aggregate cost model i.e. a 'generic fare model' of the disaggregated airline fares is required to measure the cost of air travel. In this thesis, the ratio of average fare to distance i.e. fare per mile and average fare is used as a measure of this cost model. The thesis initially determines the Fare Class categories to be used for Coach and Business class for the analysis .The thesis then develops a series of 'generic fare models' using round trip distance traveled as an independent variable. The thesis also develops a set of models to estimate average fare for any origin and destination pair in the US. The factors considered by these models are: the round trip distance traveled between the origin (o) and destination (d), the type of fare class chosen by the traveler (first, business class and unrestricted coach class and restricted coach class), the type of airport (large hub, medium hub, small hub, or non hub), whether or not the route is served by a low cost airline and the airline market concentration between the o-d pair. The models suggest that competition at the destination airport is more critical than the competition at origin airport for coach class fares and vice a versa for business class fares. Models suggested in this thesis predict air fares with R-square values of 0.3 to 0.75. / Master of Science

by Tse Kwong Keung. / Pages 52-56 and 74 in clear holder. / Thesis (M.B.A.)--Chinese University of Hong Kong, 1998. / Includes bibliographical references (leaf 99). / Questionnaries in English and Chinese. / ABSTRACT --- p.ii / TABLE OF CONTENTS --- p.ii / LIST OF ABBREVIATIONS --- p.v / LIST OF APPENDICES --- p.vi / LIST OF TABLES --- p.vii / LIST OF EXHIBITS --- p.ix / PREFACE --- p.x / Chapter / Chapter I. --- INTRODUCTION --- p.1 / Title of the Project --- p.1 / Terms of Reference --- p.1 / Objective --- p.2 / Chapter II. --- BACKGROUND --- p.4 / Overview of the Octopus System --- p.4 / Overview of the Octopus System Bus Equipment --- p.6 / Fare collection system on LRT Feeder and Auxiliary Bus Routes --- p.9 / Pre-Octopus Fare Collection System --- p.9 / New Fare Collection System with the Introduction of Octopus System --- p.10 / Implementation Measures --- p.11 / Implementation Measures to Prepare Passengers to Use Octopus System on Buses --- p.11 / Implementation measures - CSL --- p.11 / Implementation measures - LRT --- p.13 / Implementation Measures to Prepare Staff to Launch Octopus System on Buses --- p.14 / Chapter III. --- METHODOLOGY --- p.16 / Sources of Information --- p.16 / The Questionnaire Surveys --- p.17 / Questionnaire Survey for LRT Bus Passengers --- p.17 / Questionnaire Survey for LRT Bus Traffic Staff --- p.18 / Data Analysis Tools --- p.19 / Chapter IV. --- FINDINGS --- p.20 / Literature Review --- p.20 / The Systems Development Cycle --- p.20 / The Systems Development Cycle of Octopus System in LRT Buses --- p.24 / Systems Implementation Measures Getting People Ready to Use the New System --- p.25 / Measures of gaining acceptance by passengers and staff --- p.26 / Measures of obtaining passengers and staff performance --- p.29 / Education and training --- p.30 / Performance aids --- p.32 / Findings from Questionnaire Survey for LRT Bus Passengers --- p.33 / Demographic Profile --- p.33 / Effectiveness of Promotion Channels on Octopus Card to Passengers --- p.33 / Number of Trips on LRT Buses Per Week by Respondents --- p.34 / Fare Paying Methods of Respondents --- p.34 / Competence of Respondents in Using Octopus Card on Buses --- p.35 / Most Effective Methods to Educate Passengers on Octopus Card Usage --- p.36 / Findings from Questionnaire Survey for LRT Bus Traffic Staff --- p.36 / Demographic Profile --- p.36 / Personal Computer Experience Prior to Octopus Bus Equipment Training --- p.37 / Evaluation of DDU Operations Training Course --- p.37 / Staff Perceived Level of Competence to Operate the DDU During Octopus System Launching --- p.38 / Measures Proposed by Staff to Enhance Competence to Operate the DDU --- p.39 / Evaluation of BDC Operations Training Course --- p.39 / Staff Perceived Level of Competence to Operate the BDC During Octopus System Launching --- p.40 / Measures Proposed by Staff to Enhance Competence to Operate the BDC --- p.41 / Chapter V. --- CONCLUSIONS AND RECOMMENDATIONS --- p.42 / Strengths of Implementation Measures on Passengers --- p.42 / Weaknesses of Implementation Measures on Passengers --- p.43 / Recommendations of Implementation Measures on Customers --- p.44 / Strengths of Implementation Measures on Staff --- p.46 / Weaknesses of Implementation Measures on Staff --- p.47 / Recommendations of Implementation Measures on Staff --- p.48 / APPENDICES 1-11 --- p.50 / TABLES 1-18 --- p.75 / EXHIBITS 1-6 --- p.93 / BIBLIOGRAPHY --- p.99

published_or_final_version / Business Administration / Master / Master of Business Administration