A platform for research: civil engineering, architecture and urbanism
Research on Residents’ Travel Behavior under Sudden Fire Disaster Based on Prospect Theory
The decision-making process of travel behaviors under uncertainty and risk shall be analyzed in order to solve the emergency traffic management or evacuation problem under sudden fire disaster in a high-density urban environment. Firstly, this paper attempts to acquire the travel risk attitude thought online survey questionnaires. In the questionnaire, we focused on obtaining the traveler’s response thought set a scene and obtain the traveler’s risk attitude. Secondly, we explore the relationship between traveler’s personal attributes and risk attitudes through questionnaires. Finally, the questionnaire data were used to calibrate and adjust the parameters in the proposed prospect theory (PT) based model. Subsequently, the K-T model and Wang’s model were used to compare and verify the accuracy and validity of the proposed model. The results presented that the proposed model is more accurate and the largest prediction error of travel route selection behavior is only nine percent.
Research on Residents’ Travel Behavior under Sudden Fire Disaster Based on Prospect Theory
The decision-making process of travel behaviors under uncertainty and risk shall be analyzed in order to solve the emergency traffic management or evacuation problem under sudden fire disaster in a high-density urban environment. Firstly, this paper attempts to acquire the travel risk attitude thought online survey questionnaires. In the questionnaire, we focused on obtaining the traveler’s response thought set a scene and obtain the traveler’s risk attitude. Secondly, we explore the relationship between traveler’s personal attributes and risk attitudes through questionnaires. Finally, the questionnaire data were used to calibrate and adjust the parameters in the proposed prospect theory (PT) based model. Subsequently, the K-T model and Wang’s model were used to compare and verify the accuracy and validity of the proposed model. The results presented that the proposed model is more accurate and the largest prediction error of travel route selection behavior is only nine percent.
Research on Residents’ Travel Behavior under Sudden Fire Disaster Based on Prospect Theory
Ciyun Lin (author) / Kang Wang (author) / Dayong Wu (author) / Bowen Gong (author)
2020
Article (Journal)
Electronic Resource
Unknown
Metadata by DOAJ is licensed under CC BY-SA 1.0
Urban travel behavior adaptation of temporary transnational residents
Elsevier | 2020
|Modeling dynamic travel mode choices using cumulative prospect theory
Elsevier | 2023
|Applicability of an Extended Prospect Theory to Travel Behaviour Research: A Meta‐Analysis
Taylor & Francis Verlag | 2010
|