Work

Behavioral, data-driven, agent-based evacuation simulation for building safety design using machine learning and discrete choice models

Year: 2022

Type: article

Source: Advanced Engineering Informatics

DOI: 10.1016/j.aei.2022.101827

Authors: Runhe Zhu, Burcin Becerik-Gerber, Jing Lin, Nan Li

Institutions: University of Southern California, Dalian University of Technology, Tsinghua University

Language: English

Topic: Evacuation and Crowd Dynamics

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

SDG: Sustainable cities and communities

Open Access status: closed

Funders: University of Southern California, National Natural Science Foundation of China, National University's Basic Research Foundation of China, Fundamental Research Funds for the Central Universities

Awards: G4236435018, G7607137348

OpenAlex ID: W4310359137

FWCI: 12.54

Cites: 71

Cited by: 78

Related to: 10