Huai-Wei Lo , Tsung-Hui Chen , Tzu-Yi Fang , Sheng-Wei Lin
{"title":"区间值Fermatean模糊MCDM网络分析的机场可持续性及风险评价","authors":"Huai-Wei Lo , Tsung-Hui Chen , Tzu-Yi Fang , Sheng-Wei Lin","doi":"10.1016/j.rtbm.2025.101454","DOIUrl":null,"url":null,"abstract":"<div><div>International airports are among the most crucial transportation hubs, especially in island regions or countries. They serve not only as logistics centers but also as key infrastructure for international travel and trade. In Taiwan, Taoyuan International Airport is the largest and most significant international gateway, handling over 44.7 million passengers in 2024 and serving as a strategic hub for both passenger and cargo transportation. Given its pivotal role, the sustainable development and risk resilience of Taoyuan International Airport are essential to maintaining the stability and competitiveness of the national transportation system. This study proposes a comprehensive assessment framework tailored for international airports, with a case application to Taoyuan International Airport. The framework captures multiple aspects of airport performance, including economic efficiency, environmental stewardship, social responsibility, and operational risk preparedness, and incorporates 12 core evaluation criteria. To analyze the interrelationships among these criteria and determine their relative influence, an Interval Fermatean Fuzzy Decision Making Trial and Evaluation Laboratory-based Analytic Network Process (IFF-DANP) model is introduced. This model integrates the Group Judgment Integration Technique (GJIT), Fermatean Fuzzy Sets (FFs), and DEMATEL-based ANP to effectively handle uncertainty and consolidate expert evaluations. Comparative analyses with other methods confirm the robustness and comprehensiveness of the proposed approach. Results indicate that “Airport Resilience and Risk Control Strategies” is the most critical criterion overall. Additionally, key drivers within the framework include “Operational Cost Rationality Management,” “Smart Response Management,” “Enhancing Transport Facility Inclusivity,” and “Enhancing Digital Innovation and Staff Training.” The insights gained offer practical guidance for airport managers and policymakers aiming to enhance sustainability and resilience in complex operational environments.</div></div>","PeriodicalId":47453,"journal":{"name":"Research in Transportation Business and Management","volume":"62 ","pages":"Article 101454"},"PeriodicalIF":4.4000,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Airport sustainability and risk assessment using interval-valued Fermatean Fuzzy MCDM network analysis\",\"authors\":\"Huai-Wei Lo , Tsung-Hui Chen , Tzu-Yi Fang , Sheng-Wei Lin\",\"doi\":\"10.1016/j.rtbm.2025.101454\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>International airports are among the most crucial transportation hubs, especially in island regions or countries. They serve not only as logistics centers but also as key infrastructure for international travel and trade. In Taiwan, Taoyuan International Airport is the largest and most significant international gateway, handling over 44.7 million passengers in 2024 and serving as a strategic hub for both passenger and cargo transportation. Given its pivotal role, the sustainable development and risk resilience of Taoyuan International Airport are essential to maintaining the stability and competitiveness of the national transportation system. This study proposes a comprehensive assessment framework tailored for international airports, with a case application to Taoyuan International Airport. The framework captures multiple aspects of airport performance, including economic efficiency, environmental stewardship, social responsibility, and operational risk preparedness, and incorporates 12 core evaluation criteria. To analyze the interrelationships among these criteria and determine their relative influence, an Interval Fermatean Fuzzy Decision Making Trial and Evaluation Laboratory-based Analytic Network Process (IFF-DANP) model is introduced. This model integrates the Group Judgment Integration Technique (GJIT), Fermatean Fuzzy Sets (FFs), and DEMATEL-based ANP to effectively handle uncertainty and consolidate expert evaluations. Comparative analyses with other methods confirm the robustness and comprehensiveness of the proposed approach. Results indicate that “Airport Resilience and Risk Control Strategies” is the most critical criterion overall. Additionally, key drivers within the framework include “Operational Cost Rationality Management,” “Smart Response Management,” “Enhancing Transport Facility Inclusivity,” and “Enhancing Digital Innovation and Staff Training.” The insights gained offer practical guidance for airport managers and policymakers aiming to enhance sustainability and resilience in complex operational environments.</div></div>\",\"PeriodicalId\":47453,\"journal\":{\"name\":\"Research in Transportation Business and Management\",\"volume\":\"62 \",\"pages\":\"Article 101454\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2025-07-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Research in Transportation Business and Management\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2210539525001695\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research in Transportation Business and Management","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210539525001695","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
Airport sustainability and risk assessment using interval-valued Fermatean Fuzzy MCDM network analysis
International airports are among the most crucial transportation hubs, especially in island regions or countries. They serve not only as logistics centers but also as key infrastructure for international travel and trade. In Taiwan, Taoyuan International Airport is the largest and most significant international gateway, handling over 44.7 million passengers in 2024 and serving as a strategic hub for both passenger and cargo transportation. Given its pivotal role, the sustainable development and risk resilience of Taoyuan International Airport are essential to maintaining the stability and competitiveness of the national transportation system. This study proposes a comprehensive assessment framework tailored for international airports, with a case application to Taoyuan International Airport. The framework captures multiple aspects of airport performance, including economic efficiency, environmental stewardship, social responsibility, and operational risk preparedness, and incorporates 12 core evaluation criteria. To analyze the interrelationships among these criteria and determine their relative influence, an Interval Fermatean Fuzzy Decision Making Trial and Evaluation Laboratory-based Analytic Network Process (IFF-DANP) model is introduced. This model integrates the Group Judgment Integration Technique (GJIT), Fermatean Fuzzy Sets (FFs), and DEMATEL-based ANP to effectively handle uncertainty and consolidate expert evaluations. Comparative analyses with other methods confirm the robustness and comprehensiveness of the proposed approach. Results indicate that “Airport Resilience and Risk Control Strategies” is the most critical criterion overall. Additionally, key drivers within the framework include “Operational Cost Rationality Management,” “Smart Response Management,” “Enhancing Transport Facility Inclusivity,” and “Enhancing Digital Innovation and Staff Training.” The insights gained offer practical guidance for airport managers and policymakers aiming to enhance sustainability and resilience in complex operational environments.
期刊介绍:
Research in Transportation Business & Management (RTBM) will publish research on international aspects of transport management such as business strategy, communication, sustainability, finance, human resource management, law, logistics, marketing, franchising, privatisation and commercialisation. Research in Transportation Business & Management welcomes proposals for themed volumes from scholars in management, in relation to all modes of transport. Issues should be cross-disciplinary for one mode or single-disciplinary for all modes. We are keen to receive proposals that combine and integrate theories and concepts that are taken from or can be traced to origins in different disciplines or lessons learned from different modes and approaches to the topic. By facilitating the development of interdisciplinary or intermodal concepts, theories and ideas, and by synthesizing these for the journal''s audience, we seek to contribute to both scholarly advancement of knowledge and the state of managerial practice. Potential volume themes include: -Sustainability and Transportation Management- Transport Management and the Reduction of Transport''s Carbon Footprint- Marketing Transport/Branding Transportation- Benchmarking, Performance Measurement and Best Practices in Transport Operations- Franchising, Concessions and Alternate Governance Mechanisms for Transport Organisations- Logistics and the Integration of Transportation into Freight Supply Chains- Risk Management (or Asset Management or Transportation Finance or ...): Lessons from Multiple Modes- Engaging the Stakeholder in Transportation Governance- Reliability in the Freight Sector