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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
Attention for Chapter 5: Household Energy Consumption Behavior
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Citations

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Chapter title
Household Energy Consumption Behavior
Chapter number 5
Book title
Life-Oriented Behavioral Research for Urban Policy
Published by
Springer Japan, January 2017
DOI 10.1007/978-4-431-56472-0_5
Book ISBNs
978-4-43-156470-6, 978-4-43-156472-0
Authors

Biying Yu, Junyi Zhang

Editors

Junyi Zhang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 20%
Other 1 10%
Professor 1 10%
Student > Master 1 10%
Researcher 1 10%
Other 2 20%
Unknown 2 20%
Readers by discipline Count As %
Energy 2 20%
Engineering 2 20%
Social Sciences 1 10%
Unknown 5 50%