Airport Location for Smart and Sustainable Living: A Model and a Case Study of Rural Missouri, U.S.
Abstract
We consider the problem of determining the location of a regional airport with connections to major hubs within an airline network for the objective of minimizing the carbon footprint of travelers, road congestion, and accident risk. This is aligned with an overarching goal of smart and sustainable living. The overall travel journey is usually composed of a trip from home to the airport, called the connecting trip, and a trip in the air, which is composed of one or more flights. Currently, in the United States, millions of travelers drive in excess of 100 miles to reach overcrowded airports. The connecting trip not only magnifies the driver's carbon footprint, but also creates traffic congestion in cities that have airports—further increasing CO2 generation in areas surrounding the airports and worsening road safety. The model proposed here identifies a suitable airport location to directly reduce total driving miles. Indirectly, congestion on roads connecting to the airport and the traffic intensity at the airports in the hub-and-spoke network will also be reduced and passengers' comfort levels will be improved. We will employ a case study from the state of Missouri, United States, to illustrate our model and its concomitant analysis.
Recommended Citation
A. Gosavi et al., "Airport Location for Smart and Sustainable Living: A Model and a Case Study of Rural Missouri, U.S.," Sustainable Cities and Society, vol. 83, article no. 103928, Elsevier, Aug 2022.
The definitive version is available at https://doi.org/10.1016/j.scs.2022.103928
Department(s)
Engineering Management and Systems Engineering
Keywords and Phrases
Airport Location; Carbon Footprint; Optimization; Smart Living; Sustainability; Traffic Congestion
International Standard Serial Number (ISSN)
2210-6707
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2022 Elsevier, All rights reserved.
Publication Date
01 Aug 2022