城市电动汽车充电站位置优化的六阶段评价模型

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society Pub Date : 2025-04-02 DOI:10.1016/j.scs.2025.106342

Jianming Cai , Yanzi Xiao , Yaxin Wang , Ruiting Cai

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引用次数: 0

摘要

本文提出了一种综合模糊DEMATEL和增强型MultiMOORA-Borda算法的六阶段充电站选址评价模型。将模糊DEMATEL方法应用于长沙市，确定建设成本和年运维成本为主要驱动因素，智能电网协调和水平调度效率为平衡因素。MultiMOORA-Borda算法解决了权重不一致和排名问题。选址的关键因素包括服务能力、经济可行性和可达性，而排名较低的选址需要更好的交通和基础设施。敏感性分析表明，经济因素权重显著影响排名，而技术指标则保证了排名的稳定性。与模糊AHP、ANP、VIKOR、SWARA和TOPSIS方法相比，MultiMOORA Borda算法具有更好的稳定性和适应性。该研究为动态城市环境下充电站选址优化提供了理论基础和实践指导。

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A six - stage evaluation model for optimizing urban EV charging and swapping station locations

This study proposes a Six-Stage Evaluation Model, integrating fuzzy DEMATEL and an enhanced MultiMOORA-Borda algorithm for the siting of charging and swapping stations. Applied to Changsha City, the fuzzy DEMATEL method identifies construction cost and annual operation and maintenance costs as primary drivers, with smart grid coordination and horizontal dispatch efficiency as balancing factors. The MultiMOORA-Borda algorithm resolves weight inconsistencies and ranking issues. Key factors for site selection include service capacity, economic feasibility, and accessibility, while lower-ranked sites require better transportation access and infrastructure.Sensitivity analysis shows that economic factor weights significantly affect rankings, while technical indicators ensure stability. Compared to fuzzy AHP, ANP, VIKOR, SWARA, and TOPSIS methods, MultiMOORA Borda algorithm demonstrates superior stability and adaptability. This research provides both a theoretical foundation and practical guidance for optimizing charging and swapping station siting in dynamic urban environments.

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来源期刊

Sustainable Cities and Society Social Sciences-Geography, Planning and Development

CiteScore

22.00

自引率

13.70%

发文量

810

审稿时长

27 days

期刊介绍： Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including: 1. Smart cities and resilient environments; 2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management; 3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management); 4. Energy efficient, low/zero carbon, and green buildings/communities; 5. Climate change mitigation and adaptation in urban environments; 6. Green infrastructure and BMPs; 7. Environmental Footprint accounting and management; 8. Urban agriculture and forestry; 9. ICT, smart grid and intelligent infrastructure; 10. Urban design/planning, regulations, legislation, certification, economics, and policy; 11. Social aspects, impacts and resiliency of cities; 12. Behavior monitoring, analysis and change within urban communities; 13. Health monitoring and improvement; 14. Nexus issues related to sustainable cities and societies; 15. Smart city governance; 16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society; 17. Big data, machine learning, and artificial intelligence applications and case studies; 18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems. 19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management; 20. Waste reduction and recycling; 21. Wastewater collection, treatment and recycling; 22. Smart, clean and healthy transportation systems and infrastructure;