Life-Oriented Behavioral Research for Urban Policy (Hardcover, 1st ed. 2017)

This book presents a life-oriented approach, which is an interdisciplinary methodology proposed for cross-sectoral urban policy decisions such as transport, health, and energy policies. Improving people's quality of life (QOL) is one of the common goals of various urban policies on the one hand, while QOL is closely linked with a variety of life choices on the other. The life-oriented approach argues that life choices in different domains (e.g., residence, neighborhood, health, education, work, family life, leisure and recreation, finance, and travel behavior) are not independent of one another, and ignorance of and inability to understand interdependent life choices may result in a failure of consensus building for policy decisions. The book provides evidence about behavioral interdependencies among life domains based on both extensive literature reviews and case studies covering a broad set of life choices. This work further illustrates interbehavioral analysis frameworks with respect to various life domains, along with a rich set of future research directions. This book deals with life choices in a relatively general way. Thus, it can serve not only as a reference for research, but also as a textbook for teaching and learning in varied behavior-related disciplines.

General

Imprint:	Springer Verlag,Japan
Country of origin:	Japan
Release date:	2017
First published:	2017
Editors:	Junyi Zhang
Dimensions:	235 x 155 x 35mm (L x W x T)
Format:	Hardcover
Pages:	518
Edition:	1st ed. 2017
ISBN-13:	978-4-431-56470-6
Categories:	Books > Social sciences > Psychology > Social, group or collective psychology Books > Business & Economics > Economics > General Books > Social sciences > Sociology, social studies > Social groups & communities > Urban communities Books > Earth & environment > Geography > Human geography > General Books > Earth & environment > Regional & area planning > Urban & municipal planning > General Promotions
LSN:	4-431-56470-5
Barcode:	9784431564706

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