Ziwei Yuan
Ziwei Yuan has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Daoyuan Chen
School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan 430068, China
1 shared publication - Dong Xie
School of Urban Design, Wuhan University, Wuhan 430072, China
1 shared publication - Guoen Wang
School of Urban Design, Wuhan University, Wuhan 430072, China
1 shared publication - Han Zou
School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan 430068, China
1 shared publication - Pengliang Hu
School of Urban Design, Wuhan University, Wuhan 430072, China
1 shared publication - Yanyan Huang
School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan 430068, China
1 shared publication
Latest Publications
- Open Access
Unlocking the Potential of Buildings as Emergency Infrastructure: A Spatial Planning Framework for UAV-Assisted Fire Response
Urban fire response remains largely ground-based, yet the role of building rooftops as distributed UAV infrastructure remains unclear. Here, we develop a spatial planning framework that screens rooftops, models demand-weighted coverage and compares alternative deployment algorithms for Greater London. The framework combines building attributes, fire station proximity, an airspace exclusion layer and nighttime light demand weights. We evaluate NSGA-II, SPEA2, MOEA/D and a greedy baseline and select a representative layout from the observed trade-off between coverage and deployment scale. The selected 14-rooftop layout covers 83.78% of the demand weight reachable from the candidate set. When assessed against historical fire records, the rooftop network complements ground services under independently specified UAV and ground-service spatial scenarios, and their combined modeled coverage reaches 92.00%. These findings provide a case-specific planning reference for evaluating rooftop emergency infrastructure in other dense cities after local data, regulatory and operational adaptation.
Open AccessUnlocking the Potential of Buildings as Emergency Infrastructure: A Spatial Planning Framework for UAV-Assisted Fire Response
Urban fire response remains largely ground-based, yet the role of building rooftops as distributed UAV infrastructure remains unclear. Here, we develop a spatial planning framework that screens rooftops, models demand-weighted coverage and compares alternative deployment algorithms for Greater London. The framework combines building attributes, fire station proximity, an airspace exclusion layer and nighttime light demand weights. We evaluate NSGA-II, SPEA2, MOEA/D and a greedy baseline and select a representative layout from the observed trade-off between coverage and deployment scale. The selected 14-rooftop layout covers 83.78% of the demand weight reachable from the candidate set. When assessed against historical fire records, the rooftop network complements ground services under independently specified UAV and ground-service spatial scenarios, and their combined modeled coverage reaches 92.00%. These findings provide a case-specific planning reference for evaluating rooftop emergency infrastructure in other dense cities after local data, regulatory and operational adaptation.