Three-dimensional land-use configuration and property prices: a spatially filtered multi-level modelling perspective

Zheng, W. and Wang, M. (2024) Three-dimensional land-use configuration and property prices: a spatially filtered multi-level modelling perspective. Environment and Planning B: Urban Analytics and City Science, 51(2), pp. 438-455. (doi: 10.1177/23998083231180213)

Abstract

The influence of neighbourhood characteristics on housing prices has gained increasing attention from scholars in recent decades. However, studies on the three-dimensional nature of urban space, and particularly the vertical dimension, have remained limited. This study investigates previously unexplored variables that can capture the vertical and horizontal dimensions of land-use configuration. In addition, this study proposes a spatially filtered multi-level approach to modelling variations in property values which can capture both spatial and multi-level effects. The research findings reveal a price premium for housing located in immediate neighbourhoods with more open mid-rise buildings and low plants. The results also demonstrate the varying effects of determinants of house pricing in spatially heterogeneous zones.

• Item Type: Articles
• Additional Information: The material in this research is based on research funded by the Leverhulme Early Career Fellowship (Grant No. ECF-2019-536) on ‘Can spatial decentralisation achieve sustainable urbanisation?’; University of Glasgow Reinvigorating Research Funding (Grant No. 201644-20).
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Wang, Dr Mingshu
• Authors: Zheng, W., and Wang, M.
• College/School: College of Science and Engineering > School of Geographical and Earth Sciences
• Journal Name: Environment and Planning B: Urban Analytics and City Science
• Publisher: SAGE Publications
• ISSN: 2399-8083
• ISSN (Online): 2399-8091
• Published Online: 08 June 2023
• Copyright Holders: Copyright © 2023 The Authors
• First Published: First published in Environment and Planning B: Urban Analytics and City Science 51(2):438-455
• Publisher Policy: Reproduced under a Creative Commons License