Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 21, issue 1
Articles | Volume 21, issue 1
https://doi.org/10.5194/nhess-21-203-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-21-203-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
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

Viewed

Total article views: 3,738 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,660 991 87 3,738 99 112
  • HTML: 2,660
  • PDF: 991
  • XML: 87
  • Total: 3,738
  • BibTeX: 99
  • EndNote: 112
Views and downloads (calculated since 10 Jul 2020)
Cumulative views and downloads (calculated since 10 Jul 2020)

Viewed (geographical distribution)

Total article views: 3,738 (including HTML, PDF, and XML) Thereof 3,632 with geography defined and 106 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 18 Nov 2025
Download
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.
Read more
Share
Special issue
Groundbreaking technologies, big data, and innovation for...
Altmetrics
Final-revised paper
Preprint