The Role of Subjective Perceptions and Objective Measurements of the Urban Environment in Explaining House Prices in Greater London: A Multi-Scale Urban Morphology Analysis

House prices have long been closely related to the built environment of cities, yet whether the subjective perception (SP) of these environments has a differing effect on prices at multiple urban scales is unclear. This study sheds light on the impact of people’s SP of the urban environment on house...

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Bibliographic Details
Published inISPRS international journal of geo-information Vol. 12; no. 6; p. 249
Main Authors Yang, Sijie, Krenz, Kimon, Qiu, Waishan, Li, Wenjing
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.06.2023
Subjects
Analysis
Built environment
Central business districts
Economic impact
house price
Housing prices
Impact analysis
Influence
Machine learning
Measurement
Morphology
Neighborhoods
Perceptions
Physical characteristics
Regression analysis
Regression models
space syntax
street view image
Streets
subjective perception
Surveys
Urban areas
Urban environments
Urban planning
Variables
United Kingdom
China
Germany
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Summary:House prices have long been closely related to the built environment of cities, yet whether the subjective perception (SP) of these environments has a differing effect on prices at multiple urban scales is unclear. This study sheds light on the impact of people’s SP of the urban environment on house prices in a multi-scale urban morphology analysis. We trained a machine learning (ML) model to predict people’s SP of the urban environment around properties across Greater London with survey response data from an online survey evaluating people’s SP of street view image (SVI) and linked this to house price data. This information was used to construct a hedonic price model (HPM) and to evaluate the association between SP and house price data in a series of linear regression models controlling location information and urban morphological characteristics such as street network centralities at multiple urban scales, quantified using space syntax (SS) methods. The findings show that SP influences house prices, but this influence differs depending on the urban scale of analysis. Particularly, a sense of ‘enclosure’ and ‘comfort’ are important factors influencing house price variation. This study contributes by introducing SP of the urban environment as a new dimension into the traditional HPM and by exploring the economic impact of SP on the house price market at multiple urban scales.
ISSN:2220-9964
2220-9964
DOI:10.3390/ijgi12060249