| Description |
1 online resource (xiii, 127 pages) : illustrations (some color) |
| Series |
Urban sustainability |
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Urban sustainability (Springer (Firm))
|
| Contents |
Intro -- Preface -- Acknowledgments -- Contents -- 1 Introduction -- 1.1 Background and Motivation -- 1.2 Walking -- 1.2.1 The Mode Choice of Walking -- 1.2.2 Pedestrian Route Choice -- 1.3 Biking -- 1.4 Objectives and Research Questions -- 1.5 Structure -- References -- 2 Transportation Mode Choice and Built Environment Around Metro Stations -- 2.1 Introduction -- 2.2 Data Collection -- 2.2.1 Questionnaire -- 2.2.2 Study Area and Survey Administration -- 2.2.3 Sample Characteristics -- 2.2.4 Street-Scale Built Environment Variables -- 2.3 Model Formulation -- 2.4 Results |
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2.5 Conclusions and Discussion -- Appendix -- References -- 3 Pedestrians' Preferences on the Street-Scale Built Environment in a Stated Choice Experiment -- 3.1 Introduction -- 3.2 Stated Choice Design -- 3.2.1 Questionnaire Design -- 3.2.2 Attribute Selection -- 3.3 Data Collection and Descriptive Statistics -- 3.4 Analysis and Results -- 3.5 Conclusions and Policy Recommendations -- Appendix -- References -- 4 Pedestrians' Route Choice and the Street-Scale Built Environment -- 4.1 Introduction -- 4.2 Methodology -- 4.2.1 Modeling Framework -- 4.2.2 Path Size Correction Latent Class Logit Model |
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4.2.3 Choice Set Generation -- 4.3 Data Collection -- 4.3.1 Study Area -- 4.3.2 Sample Characteristics -- 4.3.3 Street-Scale Built Environment Variables -- 4.3.4 Observed Routes -- 4.4 Results -- 4.5 Conclusions and Discussion -- Appendix -- References -- 5 Cyclists' Preferences on the Street-Scale Built Environment in a Stated Choice Experiment Compared to Pedestrians -- 5.1 Introduction -- 5.2 Stated Choice Design and Data Collection -- 5.2.1 Attribute Selection -- 5.2.2 Experimental Design -- 5.2.3 Questionnaire Design and Survey Administration -- 5.2.4 Sample Characteristics |
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5.3 Analysis and Results -- 5.3.1 Interpretation of the Common Attributes -- 5.3.2 Interpretation of the Specific Attributes -- 5.4 Conclusions and Discussion -- References -- 6 Preference Heterogeneity of Cyclists' on the Street-Scale Built Environment -- 6.1 Introduction -- 6.2 Latent Class Logit Model -- 6.3 Data Collection and Sample Characteristics -- 6.3.1 Data Collection -- 6.3.2 Sample Characteristics -- 6.4 Model Estimation Results -- 6.5 Conclusions and Discussions -- References |
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7 Application: Simulation Model of Pedestrian Flows in the Re-design of Built Environment Around Metro Stations -- 7.1 Introduction -- 7.2 Study Area and Data -- 7.3 Simulation Approach -- 7.3.1 Setting Up the Road Network and Built Environment Attributes -- 7.3.2 Generating Simulated Pedestrians -- 7.3.3 Defining the Scenarios -- 7.3.4 Simulating Route Choice -- 7.3.5 Uncertainty Analysis -- 7.3.6 Sensitivity Analysis -- 7.4 Scenario Analysis -- 7.4.1 Simulation Results -- 7.4.2 Uncertainty Analysis -- 7.4.3 Sensitivity Analysis -- 7.4.4 Interpretation -- 7.5 Discussion -- References |
| Summary |
This book explores the relationship between pedestrians/cyclists mode and route choice to/from metro/railway stations and the micro-level (street-scale) built environment in a second-tier city in China. More specifically, it investigates how the street-scale built environment influences pedestrians/cyclists mode choice and route choice behavior and examines user preferences for the micro-level built environment around metro stations. The focus on a second-tier city is motivated primarily to expand the set of Chinese cities where the effects of the built environment on pedestrian/cyclist mode and route choice have been studied. Results demonstrate the effects of the street-scale built environment on pedestrian flows. The effects are higher for the main road, which is directly connected with the metro station. The findings of this book are expected to support the design of preferred walking/biking built environments around a metro station. This book appeals to urbanists, planners, engineers, policy makers, and those interested in a wide-ranging overview of slow/green transportation and built environment promotion. These methods not only help to understand the quantitative relationship between built environment design and travel behavior but also support the evaluation and assessment of built environment design in urban planning projects. It reduces the gap in our understanding of the quantitative relationship between the micro-level built environment and pedestrians/cyclists transportation mode and route choice around the metro station. Both stated choice data and revealed choice data were used. An extended set of micro-level built environment attributes was developed. Besides the widely studied transportation-related factors, street-level built environment factors were studied using quantitative methods |
| Bibliography |
Includes bibliographical references |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed November 27, 2023) |
| Subject |
City planning -- China
|
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Built environment -- China
|
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Terminals (Transportation) -- China
|
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Pedestrian traffic flow -- China
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Bicycle traffic flow -- China
|
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Bicycle traffic flow
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Built environment
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City planning
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Pedestrian traffic flow
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Terminals (Transportation)
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China
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| Form |
Electronic book
|
| ISBN |
9789819977239 |
|
9819977231 |
|
