A Mesoscopic Simulation Model for Airport Curbside Management
Joint Authors
Harris, Tyler M.
Nourinejad, Mehdi
Roorda, Matthew J.
Source
Journal of Advanced Transportation
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-07-06
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
Airport curbside congestion is a growing problem as airport passenger traffic continues to increase.
Many airports accommodate the increase in passenger traffic by relying on policy and design measures to alleviate congestion and optimize operations.
This paper presents a mesoscopic simulation model to assess the effectiveness of such policies.
The mesoscopic simulation model combines elements of both microscopic simulation which provides a high level of detail but requires large amounts of data and macroscopic simulation which requires very little data but provides few performance measures.
The model is used to simulate scenarios such as double parking, alternative parking space allocation, increased passenger demand, and enforced dwell times at Pearson International Airport in Toronto, Canada.
Scenario analysis shows that adjusting model inputs provides reasonable results, demonstrating the value in using this approach to evaluate curbside management policies.
The results show that double parking reduces the utilization ratio and the level of service of the outer curbside but cuts down the passenger and vehicle waiting time.
Inclement weather conditions reduce the utilization ratio of the inner curbside and the supply of commercial vehicles since it takes them longer to return to the airport.
Finally, reducing the allowable parking time at the curbside decreases the average dwell time of private vehicles from 89 seconds to 75 seconds but increases the number of circulating vehicles by 30%.
American Psychological Association (APA)
Harris, Tyler M.& Nourinejad, Mehdi& Roorda, Matthew J.. 2017. A Mesoscopic Simulation Model for Airport Curbside Management. Journal of Advanced Transportation،Vol. 2017, no. 2017, pp.1-19.
https://search.emarefa.net/detail/BIM-1170732
Modern Language Association (MLA)
Harris, Tyler M.…[et al.]. A Mesoscopic Simulation Model for Airport Curbside Management. Journal of Advanced Transportation No. 2017 (2017), pp.1-19.
https://search.emarefa.net/detail/BIM-1170732
American Medical Association (AMA)
Harris, Tyler M.& Nourinejad, Mehdi& Roorda, Matthew J.. A Mesoscopic Simulation Model for Airport Curbside Management. Journal of Advanced Transportation. 2017. Vol. 2017, no. 2017, pp.1-19.
https://search.emarefa.net/detail/BIM-1170732
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1170732