arbiter
JournalsAccount

Population concentration in high-complexity regions within city during the heat wave

Hyoji Choi et al.

Cambridge Journal of Regions, Economy and Society2025https://doi.org/10.1093/cjres/rsae044article
AJG 3ABDC B
Weight
0.44

Abstract

This study investigates the impact of the 2018 summer heat wave on urban mobility in Seoul and the role of economic complexity in the region’s resilience. Analysis of subway and mobile phone data reveals a significant decrease in the floating population during the extreme heat wave, underscoring the thermal vulnerability of urban areas. However, urban regions with higher complexity demonstrate resilience, attracting more visitors despite high temperatures. Our results suggest the centrality of economic complexity in urban resilience against climate-induced stressors. Additionally, high-complexity small business clusters appear to serve as focal points for sustaining urban vitality in the face of thermal shocks within the city. From a long-term perspective, our results imply that people might become more concentrated in highly complex regions in the era of global warming.

3 citations

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1093/cjres/rsae044

Or copy a formatted citation

@article{hyoji2025,
  title        = {{Population concentration in high-complexity regions within city during the heat wave}},
  author       = {Hyoji Choi et al.},
  journal      = {Cambridge Journal of Regions, Economy and Society},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1093/cjres/rsae044},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Population concentration in high-complexity regions within city during the heat wave

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.44

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.32 × 0.4 = 0.13
M · momentum0.57 × 0.15 = 0.09
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.