Access to and Competition Between Airports: A Case Study for the San Francisco Bay Area

By Eric Pels, Peter Nijkamp, Piet Rietveld. 2003

345 citations recorded by the source corpus.

Subfields: Automotive Engineering, Economics and Econometrics, Transportation

View Paper: https://www.semanticscholar.org/paper/a63df8c6f93c1c6bc33019d9058be9ab63e05dfb

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

In Economics and Econometrics

In Transportation

Citations in the corpus

REVENUE SHARING WITH MULTIPLE AIRLINES AND AIRPORTS (2010, background): “For instance, Pels et al. (2000, 2001, 2003) have shown, using a hypothetical example and later the San Francisco Bay Area case study, that ground accessibility of an airport is the most important factor in affecting airport choices in a multi-airport market.”
Air travel choices in multi-airport markets☆ (2006, methodology): “Using the same dataset and a nested logit model to look at the choice of access mode and airport, Pels et al. (2003) find that the mode choice patterns imply high values of time.”
Modelling airport and airline choice behaviour with the use of stated preference survey data (2007, background): “For example, Pels et al. (2003) report values of between $1.97/min and $2.90/min for business travellers in the SF-bay area.”
MIXED LOGIT MODELLING OF AIRPORT CHOICE IN MULTI-AIRPORT REGIONS (2005, methodology): “Pels et al. (2003) analyse the joint choice of airport and access mode by using an NL model (airport choice above access mode choice), showing high sensitivity to access-time, especially for business travellers.”
Air transport and high-speed rail competition: environmental implications and mitigation strategies (2016, background): “…𝐴 if 𝑖 = 𝐻 and −𝑖 = 𝐻 if 𝑖 = 𝐴. Total trip time, frequency and ticket price have been commonly included in modeling works as well as empirical estimations on airline competition, airport choices and air-HSR mode split (see for example Adler et al., 2010; Fu et al., 2014; Pels et al., 2003).”
Effects of high-speed rail and air transport competition on prices, profits and welfare (2012, neutral): “On the other hand, airlines price discriminate the two passenger types: They charge a higher price pah to business passengers and a lower price pal to leisure passengers (e.g., Morrison, 1987; Pels et al., 2003; Czerny and Zhang, 2012).”
Intermodal competition in the London–Paris passenger market: High-Speed Rail and air transport (2012, methodology): “In another analysis, Ishii et al. (2009) uses the revealed preference dataset of Pels et al. (2003) to estimate both a conditional logit model and mixed logit model for business and leisure passenger airport-airline choice in the San Francisco Bay Area–Greater Los Angeles passenger market.”