Work

Using house sales transactions data to identify potentially gentrifying neighbourhoods

Year: 2025

Type: conference-paper

Abstract: This paper describes initial work seeking to identify locales of neighbourhood gentrification. It summarises house sales transactions over MSOAs, compares average annual house price with neighbouring areas over a 10 year period, and uses a time series analysis to identify neighbourhoods with high rates of change of these as potential gentrifying neighbourhoods. The next steps are to link to analyses of social media data to characterise the nature of the observed neighbourhood change. A number of areas of further work are described and a number of critical considerations are discussed.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15225192

Authors: Comber, Alexis, Asher, M, Wang, Y, Le Kieu, Minh, Quang, Thanh, Nguyen Thi, Hang, Hoang Huu, Phe, Malleson, Nicholas

Institutions: University of Leeds, University of Auckland, Vietnam National University, Hanoi, VNU University of Science, VNU Vietnam Japan University

Language: English

Topic: Housing Market and Economics

Subfield: Economics and Econometrics

Field: Economics, Econometrics and Finance

Domain: Social Sciences

SDG: Sustainable cities and communities

Open Access status: green

OpenAlex ID: W6893249952

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