| Issue |
E3S Web Conf.
Volume 728, 2026
2026 3rd International Conference on Environment Engineering, Urban Planning and Design (EEUPD 2026)
|
|
|---|---|---|
| Article Number | 02014 | |
| Number of page(s) | 9 | |
| Section | Civil Engineering and Urban Planning | |
| DOI | https://doi.org/10.1051/e3sconf/202672802014 | |
| Published online | 27 July 2026 | |
The complementary resilience hypothesis: Disaster-type asymmetry in urban complex adaptive systems
School of Architecture and Urban Planning, Nanjing University, Nanjing 210093, China
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Climate change is intensifying both natural disasters and systemic crises in cities worldwide. Existing urban resilience theory rarely examines how different disaster types interact asymmetrically with different urban subsystems. Drawing on Complex Adaptive System (CAS) theory, this paper proposes the Complementary Resilience Hypothesis (CRH): when a disaster mainly damages the material subsystem of a city, recovery capacity is likely to come from the resilient immaterial subsystem; when a disaster mainly disrupts the immaterial subsystem, robust material infrastructure becomes the recovery engine. We propose two diagnostics — the Complementary Resilience Score (CRS, harmonic mean of material subsystem resilience M and immaterial subsystem resilience N) and the Complementary Gap Index (CGI) — together with an empirical collapse threshold m*, below which complementary recovery mechanism fails. We operationalise the framework with a 5 + 5 indicator system derived from Xu et al.'s ten urban subsystems. Three cases illustrate the hypothesis: Hurricane Katrina in New Orleans, China's typhoon and flood response, and COVID-19 across major cities. We also present a hazard-profile decision matrix that translates the hypothesis into structural-versus-social investment guidance.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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