Collaborative decision-making for localized emergency response in major railroad projects
Abstract This paper examines major railroad projects’ emergency response decision-making process, focusing on timeliness, cost-effectiveness, and public involvement. It explores the optimal collaborative strategies of local governments, enterprises, and the public during the construction phase. A no...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-09190-w |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849343861307998208 |
|---|---|
| author | Yuanyuan Lei Jingxiao Zhang Ruixue Zhang Lean Yu Pablo Ballesteros-Pérez Martin Skitmore |
| author_facet | Yuanyuan Lei Jingxiao Zhang Ruixue Zhang Lean Yu Pablo Ballesteros-Pérez Martin Skitmore |
| author_sort | Yuanyuan Lei |
| collection | DOAJ |
| description | Abstract This paper examines major railroad projects’ emergency response decision-making process, focusing on timeliness, cost-effectiveness, and public involvement. It explores the optimal collaborative strategies of local governments, enterprises, and the public during the construction phase. A novel tripartite decision-making framework is proposed, based on an asymmetric evolutionary game model and dynamic simulation methods. The results show a stable equilibrium in emergency response strategies emerges when public engagement is prioritized. Government subsidy policies are found to significantly influence the strategic choices of all agents, emphasizing the critical role of coordinated collaboration. The study highlights the importance of public participation and multi-agent cooperation in addressing complex emergency challenges. These findings provide valuable guidance for improving localized emergency response strategies, enhancing collaborative decision-making, optimizing resource allocation, increasing response efficiency, and supporting policy formulation in major railroad projects. |
| format | Article |
| id | doaj-art-f38bbf47ff9e42c99484f581f5f9cda2 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-f38bbf47ff9e42c99484f581f5f9cda22025-08-20T03:42:49ZengNature PortfolioScientific Reports2045-23222025-07-0115111610.1038/s41598-025-09190-wCollaborative decision-making for localized emergency response in major railroad projectsYuanyuan Lei0Jingxiao Zhang1Ruixue Zhang2Lean Yu3Pablo Ballesteros-Pérez4Martin Skitmore5School of Economics and Management, Chang’an UniversitySchool of Economics and Management, Chang’an UniversitySchool of Economics and Management, Chang’an UniversityBusiness School, Sichuan UniversityInnovation and Sustainability Research Centre (PRINS), Universitat Politècnica de ValènciaFaculty of Society and Design, Bond UniversityAbstract This paper examines major railroad projects’ emergency response decision-making process, focusing on timeliness, cost-effectiveness, and public involvement. It explores the optimal collaborative strategies of local governments, enterprises, and the public during the construction phase. A novel tripartite decision-making framework is proposed, based on an asymmetric evolutionary game model and dynamic simulation methods. The results show a stable equilibrium in emergency response strategies emerges when public engagement is prioritized. Government subsidy policies are found to significantly influence the strategic choices of all agents, emphasizing the critical role of coordinated collaboration. The study highlights the importance of public participation and multi-agent cooperation in addressing complex emergency challenges. These findings provide valuable guidance for improving localized emergency response strategies, enhancing collaborative decision-making, optimizing resource allocation, increasing response efficiency, and supporting policy formulation in major railroad projects.https://doi.org/10.1038/s41598-025-09190-wEvolutionary gameMajor railroad projectsLocalized emergency responseMulti-agent decision |
| spellingShingle | Yuanyuan Lei Jingxiao Zhang Ruixue Zhang Lean Yu Pablo Ballesteros-Pérez Martin Skitmore Collaborative decision-making for localized emergency response in major railroad projects Scientific Reports Evolutionary game Major railroad projects Localized emergency response Multi-agent decision |
| title | Collaborative decision-making for localized emergency response in major railroad projects |
| title_full | Collaborative decision-making for localized emergency response in major railroad projects |
| title_fullStr | Collaborative decision-making for localized emergency response in major railroad projects |
| title_full_unstemmed | Collaborative decision-making for localized emergency response in major railroad projects |
| title_short | Collaborative decision-making for localized emergency response in major railroad projects |
| title_sort | collaborative decision making for localized emergency response in major railroad projects |
| topic | Evolutionary game Major railroad projects Localized emergency response Multi-agent decision |
| url | https://doi.org/10.1038/s41598-025-09190-w |
| work_keys_str_mv | AT yuanyuanlei collaborativedecisionmakingforlocalizedemergencyresponseinmajorrailroadprojects AT jingxiaozhang collaborativedecisionmakingforlocalizedemergencyresponseinmajorrailroadprojects AT ruixuezhang collaborativedecisionmakingforlocalizedemergencyresponseinmajorrailroadprojects AT leanyu collaborativedecisionmakingforlocalizedemergencyresponseinmajorrailroadprojects AT pabloballesterosperez collaborativedecisionmakingforlocalizedemergencyresponseinmajorrailroadprojects AT martinskitmore collaborativedecisionmakingforlocalizedemergencyresponseinmajorrailroadprojects |