Urban Morphology and Housing Market

Urban Morphology and Housing Market

by Yang Xiao

Paperback(Softcover reprint of the original 1st ed. 2017)

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Overview

This book is devoted to fill the ‘urban economics niche’ and conceptualize a framework for valuing the urban configuration via local housing market. Advanced network analysis techniques are employed to capture the centrality features hindered in street layout. The author explores the several effects of urban morphology via housing market over two distinct contexts: UK and China. This work will appeal to a wide readership from scholars and practitioner to policy makers within the fields of real estate analysis, urban and regional studies, urban planning, urban design and economic geography.

Product Details

ISBN-13: 9789811096990
Publisher: Springer Singapore
Publication date: 07/07/2018
Series: Springer Geography
Edition description: Softcover reprint of the original 1st ed. 2017
Pages: 189
Product dimensions: 6.10(w) x 9.25(h) x (d)

About the Author

Yang Xiao got his Ph.D from Cardiff University in UK. He joined Tongji University as a lecturer since 2013. His research interests include Landscape and Urban Planning, Land Use Policy, Housing Studies, Urban Studies.

Chris Webster got his Ph.D from University of Hull in 1985. He used to be an Honorary Professor and visiting Research Professor in Urban Planning in University of Hong Kong, Cardiff University , University Technology Malaysia; Head of Cardiff University and Director of UK Centre for Education in the Built Environment. He is now a Chair Professor of Urban Planning and Development Economics at University of Hong Kong(HKU). His research interests include Urban Planning, Built environment.

Table of Contents

Introduction.- Hedonic housing price theory review.- Space syntax methodology review.- Urban configuration and housing price.- Identification of housing submarkets by urban configurational features.- Identifying the micro-dynamic effects of urban street configuration on house price volatility using a panel model.- Conclusions.

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