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Use mobile location data to infer airport catchment areas and calibrate Huff gravity model in the New York metropolitan area
Use mobile location data to infer airport catchment areas and calibrate Huff gravity model in the New York metropolitan area
Mobile location data have emerged as a pivotal asset for analyzing travelers' spatial behaviors and movement patterns. In the context of air travel, the data empower researchers to gain empirical insights into travelers' choices of airports. This study employs mobile location data to scrutinize the market shares and infer catchment areas of three primary hub airports within the New York Metropolitan Area. Our study, together with Teixeira and Derudder (2021), helps contribute to a better understanding of competitive airport dynamics in the New York Metropolitan Area. In addition, the mobile location data allow us to calibrate the two key components of the Huff Gravity Model, which is frequently used in existing studies focusing on airport competition and catchment areas in Multiple Airport Regions (MARs). Our investigation underscores that the application of the Huff Model should not follow a uniform approach across different scenarios. The dynamics of airport competition and ground access alternatives exhibit unique characteristics within each MAR. Furthermore, our study unveils inherent quality challenges associated with mobile location data. Future studies intending to incorporate mobile location data are advised to conduct preliminary assessments of data quality before embarking on empirical analyses.
Link: https://www.sciencedirect.com/science/article/pii/S0966692323002624#f0030
Using Hartsfield-Jackson Atlanta International Airport as a special case, this study proposes a theoretical framework for quantifying and comparing the overall cost of parking and Transportation Network Companies (TNCs) services such as Uber. Based on the cost comparison, we build a web application to visualize the utility advantage area and summarize the corresponding demographic information. Our study has the potential to benefit airports, TNC operators, and travelers. Using our app, these stakeholders can visualize and measure potential tradeoffs between parking and TNC Ridesharing services. The visualization page below will interactively output the advantage area of airport parking and Uber based on the traveling inputs.
The dynamics between voluntary safety reporting and commercial aviation accidents
The dynamics between voluntary safety reporting and commercial aviation accidents
Since 1975, the Aviation Safety Reporting System (ASRS) has collected over 1.6 million reports from aviation community members and contributed to the efficiency and safety improvement of the National Airspace System (NAS) of the United States. Despite a large number of studies using ASRS data, the dynamics between safety reporting and aviation accidents remains unclear. Focusing specifically on the Part 121 air carriers of the U.S., this paper addresses the temporal relationship between voluntary safety reporting and the occurrence of commercial aviation accidents. Due to the uncertain and potentially mixed order of integration of the time-series data, this study uses Autoregressive Distributed Lag (ARDL) bounds testing and a special Vector Autoregressive (VAR) model based on Toda and Yamamoto (1995) for data analysis and cross-validation of the results. The ARDL bounds testing finds a long-run relationship from aviation accidents to safety reporting. This finding is confirmed by the estimation results of the VAR model that aviation accidents Granger cause voluntary safety reporting. Short-run relationships identified in ADRL bounds testing and impulse-response function (IRF) of the VAR model reveal that the response of safety reporting to aviation accidents peaks in the 4th and 5th quarter after the occurrence of accidents. Understanding the inter-temporal relationship between safety reporting and aviation accidents could facilitate the interpretation of reporting data for government agencies or safety departments of airlines overseeing safety reporting systems. The short-run and long-run relationships between voluntary safety reporting and aviation accidents identified in this study for U.S. air carriers could be used as benchmarks for other national aviation safety agencies or airlines to assess their safety reporting cultures.
Link: https://www.sciencedirect.com/science/article/pii/S0925753521001958?via%3Dihub
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