TY - CHAP
T1 - Two-Stage Interval Best-Worst Method for Weighting: Prioritization of Influential Factors of Airport Competitiveness
AU - Ren, Jingzheng
N1 - Funding Information:
Acknowledgments This study was financially supported by The Start-up Grant of The Hong Kong Polytechnic University for New Employees (Project title: Multi-criteria Decision Making for More Sustainable Transportation, grant number: 1-ZE8W).
Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2020.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/4/22
Y1 - 2020/4/22
N2 - There are various factors influencing airport competitiveness, but it is usually difficult for the decision-makers to clearly understand the roles of these influential factors of airport competitiveness. In order to address this, this study aims at developing a two-stage interval best-worst method for determining the relative importance based on the multiplicative constraint. A total of twenty influential factors in five dimensions including airport capacity, network connectivity, service quality, operations and management, and external environment were summarized, then, the developed weighting method was employed to prioritize these influential factors, and they were categorized into three level, namely, significantly group, moderately important group, and less important group. Some policy implications were also proposed for building competitive airports and for improving the competitiveness of airports.
AB - There are various factors influencing airport competitiveness, but it is usually difficult for the decision-makers to clearly understand the roles of these influential factors of airport competitiveness. In order to address this, this study aims at developing a two-stage interval best-worst method for determining the relative importance based on the multiplicative constraint. A total of twenty influential factors in five dimensions including airport capacity, network connectivity, service quality, operations and management, and external environment were summarized, then, the developed weighting method was employed to prioritize these influential factors, and they were categorized into three level, namely, significantly group, moderately important group, and less important group. Some policy implications were also proposed for building competitive airports and for improving the competitiveness of airports.
UR - http://www.scopus.com/inward/record.url?scp=85090018342&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-45418-0_2
DO - 10.1007/978-3-030-45418-0_2
M3 - Chapter in an edited book (as author)
SN - 978-3-030-45417-3
T3 - SpringerBriefs in Applied Sciences and Technology
SP - 7
EP - 31
BT - Advanced Operations Management for Complex Systems Analysis
PB - Springer
ER -