 Delays in the New York City metroplexAshish Lall Transportation Research Part A: Policy and Practice, 2018, vol. 114, issue PA, 139-153 Abstract: Aviation delays impose significant external costs on society. This paper represents one of the first attempts to use a count regression model to study delays at the three New York city area airports – Liberty (Newark), John F. Kennedy and LaGuardia. Explanatory variables are drawn from an extensive literature survey and reflect a range of environmental and operational causal factors. Adverse weather has the largest impact on expected delay, followed by congestion during the metroplex peak. Airport operations peaks matter if they occur at times when the metroplex is busy. Other significant causal factors include surface congestion and arrivals from congested domestic hubs. The impact of the latter appears to be driven by the proportion of domestic traffic. The complex causal factors of delays suggest that regardless of the empirical approach, airport specificities are important in reducing delays. Keywords: New York airports; New York metroplex; Aviation delays; Negative binomial regression; Count regression model (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:transa:v:114:y:2018:i:pa:p:139-153 Ordering information: This journal article can be ordered from DOI: 10.1016/j.tra.2017.12.006 Access Statistics for this article Transportation Research Part A: Policy and Practice is currently edited by John (J.M.) Rose More articles in Transportation Research Part A: Policy and Practice from Elsevier |
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