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Life-Oriented Behavioral Research for Urban Policy

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Cover of 'Life-Oriented Behavioral Research for Urban Policy'

Table of Contents

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    Book Overview
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    Chapter 1 Life-Oriented Approach
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    Chapter 2 Empirical Evidence of Behavioral Interdependencies Across Life Choices
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    Chapter 3 Lifestyles and Life Choices
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    Chapter 4 The Car-Dependent Life
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    Chapter 5 Household Energy Consumption Behavior
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    Chapter 6 ICT-Dependent Life and Its Impacts on Mobility
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    Chapter 7 Health-Related Life Choices
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    Chapter 8 Life-Oriented Tourism Behavior Research
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    Chapter 9 Influence of Land Use and Transport Policies on Women’s Labor Participation and Life Choices
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    Chapter 10 Mobility of the Elderly
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    Chapter 11 Risky Behaviors in Life: A Focus on Young People
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    Chapter 12 Adaptation of Behavior to Overcome Natural Disasters
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    Chapter 13 Mobility Biographies and Mobility Socialisation—New Approaches to an Old Research Field
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    Chapter 14 Biographical Interactions Over the Life Course: Car Ownership, Residential Choice, Household Structure, and Employment/Education
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    Chapter 15 Household Time Use Behavior Analysis: A Case Study of Multidimensional Timing Decisions
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    Chapter 16 Models of Behavioral Change and Adaptation
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    Chapter 17 Behavioral Changes in Migration Associated with Jobs, Residences, and Family Life
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    Chapter 18 Future Perspectives of the Life-Oriented Approach
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Title
Life-Oriented Behavioral Research for Urban Policy
Published by
Springer Japan, January 2017
DOI 10.1007/978-4-431-56472-0
ISBNs
978-4-43-156470-6, 978-4-43-156472-0
Editors

Junyi Zhang

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 121 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 26%
Student > Master 16 13%
Researcher 9 7%
Student > Doctoral Student 8 7%
Lecturer 8 7%
Other 16 13%
Unknown 33 27%
Readers by discipline Count As %
Engineering 21 17%
Social Sciences 16 13%
Business, Management and Accounting 8 7%
Economics, Econometrics and Finance 7 6%
Energy 4 3%
Other 25 21%
Unknown 40 33%