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Factors influencing the hub connectivity of Beijing Capital Airport in its international markets
Affiliation:1. Cranfield University, Centre for Air Transport Management, MK43 0TR Bedfordshire, United Kingdom;2. University of Edinburgh Business School, Management Science and Business Economics Group, EH8 9JS Edinburgh, United Kingdom;3. Department of Transport Science, KTH Royal Institute of Technology, SE-100 44 Stockholm, Sweden;1. Faculty of Technology, Policy and Management (TU Delft), The Netherlands;2. Amsterdam Institute for Social Science Research (University of Amsterdam), The Netherlands;1. Sauder School of Business, University of British Columbia, 2053 Main Mall, Vancouver, BC V6T 1Z2, Canada;2. China Academy of Financial Research, Shanghai Jiao Tong University, China;1. Sauder School of Business, University of British Columbia, 2053 Main Mall, Vancouver, BC V6T 1Z2, Canada;2. School of Commerce, University of Southern Queensland, Toowoomba, Queensland, Australia;3. China Academy of Financial Research, Shanghai Jiao Tong University, China;1. Centre for Air Transport Management, Martell House, Cranfield University, Bedforshire MK43 0TR, United Kingdom;2. University of Edinburgh Business School, Management Science and Business,Economics Group, Edinburgh EH8 9JS, United Kingdom;3. Statistics Division, Department of Computer and Information Science, Linköping University, 581 83 Linköping, Sweden;1. Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China;2. University of Chinese Academy of Sciences, 100049, China
Abstract:This paper investigates factors influencing the hub connectivity of Beijing Capital Airport (PEK) in its domestic to international markets between 2014 and 2018 based on a random-effect panel data model. The results show that variables representing the temporal and spatial characteristics of connecting flights have significant impacts on the hub connectivity of PEK. In specific, the changeable threshold of maximum connecting time based on different international destination regions has a negative impact. This paper identifies different timetable coordination modes at PEK and shows that the number of indirect connections under adjacent mode is significantly less than that of distant mode. Circuity and directionality are proven to have significant impacts. In addition, factors representing airport characteristics and heterogeneity of international destination regions also affecting the hub connectivity of PEK.
Keywords:Hub connectivity  Domestic to international markets  Maximum connecting time  Coordination mode  Random-effect panel data model  Beijing capital international airport
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