A Study on Travelers’ Behavior Towards Carsharing System:Case of Dalian,China

摘要

The rapid development of economy, urbanization, and motorization has brought us many challenges.The fast increase of car ownership is a matter of frequent consideration in the transport sector in the last few decades.How to control the growth of car ownership is a quite hard question for the authorities and policy makers to find the best solution.Carsharing has appeared as a novel alternative to private car in urban areas and larger cities.The application and popularization of the concept has resulted in effective private car reduction, reducing traffic congestion and overloaded of parking lot, and diminishing environmental pollution.This research seeks to determine the factors effecting travelers acceptance towards carsharing and the potential market segments to successful implementation of carsharing concept in China.A Stated Preference (SP) survey was carried out in Dalian, China, and a binary logit model was built to model travelers' acceptance towards different carsharing systems.The results showed that several demographic factors may affect travelers' decision making process.Gender, age, driving experience, education level, marital status and familiarity with the concept have great impact on travelers' propensity to adopt carsharing.Findings from this study can be useful to transport planners and policy makers for the implementation and operation of carsharing systems in China.

目录

声明

Abstract

Table of Content

1 Introduction

1．1 Background

1．2 Statement of the Problem

1．3 Purpose of the Study

1．4 Research Questions

1．5 Organization ofthe Thesis

2 Literature Review

2．1 Previous Studies Overview

2．1．1 History and Trends

2．1．2 Potential Markets

2．1．3 Potential Customers

2．1．4 Reasons to join Carsharing

2．1．5 Impacts to Mobility Behavior

2．2 Data Collection Methodology

2．2．1 Stated Preference Survey

2．2．2 Revealed Stated Survey

2．2．3 Other Sources

2．3 Modeling Methodology

2．4 Summary and Discussion

2．4．1 Data Collection Methods

2．4．2 Modeling Methods

3 Methodology

3．1 Research Design

3．2 Data Collection Method

3．2．1 Revealed Preference Survey

3．2．2 Stated Preference Survey

3．2．3 Questionnaire Design

3．3 Modeling Method

3．3．1 Binary Logit Model

3．3．2 Mixed Logit Model

3．3．3 Model Estimation Methods

4 Pilot Study

4．1 Data Summary

4．2 Model Estimation and Results

4．3 Discussion

5 Final Survey and Data Summary

5．1 Case Study

5．2 Data Summary

6 Model Estimation and Results

6．1 Model Development

6．2 Discussion of Model Results

6．2．1 Demographic Characteristics

6．2．2 Transport Mode Use

6．2．3 Carsharing Attributes

6．2．4 Other Socioeconomic Attributes

7 Conclusion

7．1 Empirical Findings

7．2 Future Research

References

Appendix

Acknowledgement