Articles | Volume 21, issue 1
Research article
21 Jan 2021
Research article |  | 21 Jan 2021

A glimpse into the future of exposure and vulnerabilities in cities? Modelling of residential location choice of urban population with random forest

Sebastian Scheuer, Dagmar Haase, Annegret Haase, Manuel Wolff, and Thilo Wellmann

Data sets

RWI-GEORED: RWI Real Estate Data (Scientific Use File) - apartments for rent. Version: 1 B. Boelmann, R. Budde, L. Klick, S. Schaffner, and RWI

Short summary
The choice of residential location is one of the drivers shaping risks in cities. We model likely outcomes of this decision-making process for distinct socioeconomic groups in the city of Leipzig, Germany, using random forests and geostatistical methods. In so doing, we uncover hot spots and cold spots that may indicate spatial patterns and trends in exposure and vulnerabilities of urban population, to shed light on how residential location choice affects these risk components as a process.
Final-revised paper