How Does Mobile Location of Airport Passengers Tell and Predict Airport Catchment Areas: A Case Study of the New York Metropolitan Multi Airport Region

Date and Time: Wednesday, May 17: 3:30 PM - 4:30 PM
Location: Atrium

Sen Wang

Purdue University

PRESENTATION DESCRIPTION

Mobile locational data acquired from smart devices are increasingly used to depict people's mobility patterns and lifestyle choices. In this study, we used mobility location data to analyze the airport choice of residents from the New York Metropolitan multiple airport region (MAR) consisting of New York John F. Kennedy International Airport (JFK), LaGuardia Airport (LGA), and Newark Liberty International Airport (EWR). Not only did mobile location data enable us to visualize revealed airport preferences of passengers, but they also permitted us to calibrate the attractiveness and distance decay parameters of the Huff model, a popular spatial analysis often used to predict consumer choices. The estimation of such parameters reveals how NYC residents spatially interacted with their local airports. With the calibrated Huff model, airports can now predict their passengers' spatial distribution with confidence, thus deploying marketing and operational resources to areas where they can expect to achieve the highest utility.

SPEAKER BIOGRAPHY

I am a Ph.D. candidate from the School of Aviation and Transportation Technology, at Purdue University. My achievement in academic publications, conference presentations, and sponsored projects demonstrate my potential of becoming a well-versed scholar in my research areas, consisting of air transportation and transport geography. I have published, as the leading author, in top peer-reviewed journals, including Safety Science, and the Journal of Air Transport Management, and have manuscripts being reviewed by the Journal of Transport Geography. My conference presentations have been selected by the University Association of Aviation in 2021 and the Applied Geography Conference in 2022 as the recipient of the Best Poster awards. While pursuing my doctoral degree, I have been closely involved in ACPR 03-62, a project sponsored by the Airport Cooperative Research Program, Transportation Research Board of the National Academies of Science, Engineering, and Medicine. Meanwhile, I became a recipient of the 2022-2023 ACRP Graduate Research Award, aiming to address airport parking revenues. At this conference, I will present my poster regarding the use of mobile location data in analyzing airport catchment areas.

PRESENTATION FILE