ACRP Graduate Student Paper - Impact of Transportation Network Companies on Ground Access to Airports: A Case Study in Austin, Texas
Natalia Zuniga-Garcia (firstname.lastname@example.org), University of Texas, AustinShow Abstract
Randy Machemehl, University of Texas, Austin
This study proposes using Intelligent Transportation Systems (ITS) and open-data sources to evaluate the impact of Transportation Network Companies (TNCs) on ground access to airports. We use the unexpected interruption of the TNCs services in Austin, Texas, in 2016 as a natural experiment to provide a before-and-after analysis of the changes in airport access area traffic conditions. We implement statistical methods to determine whether differences in speeds across periods is statistically significant and estimate the value of time for TNC induced delay using values of passengers’ willingness to pay for airport access travel time savings. Furthermore, we develop a speed model to assess the impact of TNC demand on ground access areas using trip information from an Austin-based TNC service. The main results suggest that airport ground access speeds were higher during the period that the TNCs were out of the city. The re-introduction of the services resulted in a speed reduction of 18 percent for the airport afternoon peak hours, which can be translated to a total passenger cost of approximately $600 per hour. Furthermore, we found that the number of TNC pick-up trips is a predictor of airport access speed and that the flight schedule can potentially be used to develop predictive speed models.
ACRP Graduate Student Paper - Airport Pickup and Dropoff Facility Design for On-Demand Ground Transportation
Anton Kleywegt, Georgia Institute of Technology (Georgia Tech)Show Abstract
Xinyu Liu, Georgia Institute of Technology (Georgia Tech)
An airport serves as an interface between ground transportation and air transportation, and therefore the efficient processing of ground transportation arrivals and departures is an important part of airport operations. In recent years there has been substantial growth in the use of on-demand ground transportation to and from airports, with the increased adoption of ride-hailing services. However, the current pickup and dropoff locations at many airports are along the terminal curb or in existing parking facilities that were not designed for this increased demand, resulting in excessive congestion. Furthermore, most airports were constructed before this increase in demand, and they are severely space constrained. Thus, designs for pickup and dropoff facilities should take into account the effect of the facility layout and operational rules on conflicts between the movements of people and vehicles, conflicts between the movements of different vehicles, the resulting delays in the movements of people and vehicles, as well as the spatial requirements of different layouts. We propose models that incorporate these factors, and that provide insights and computational tools suitable for the evaluation of throughput rates for pickup and dropoff facilities in different settings. The models and tools are demonstrated with results for a selection of pickup and dropoff facility layouts appropriate for airports.
Passenger Expectations and Airport Service Quality: Exploring Customer Segmentation.
George Bezerra (email@example.com), Centro Universitário Cruzeiro do SulShow Abstract
Eliézer De Souza, Aeronautics Institute of Technology
Anderson Correia, Aeronautics Institute of Technology
Understanding customer expectations is key for any service context, including possible differences between customer segments. Even so, those are still under-researched topics in the airport industry, with limited empirical evidence on the nature of passenger expectation and how it relates to the service experienced. Hence, this paper objective was twofold. First, a structural model of the relationships between customer expectations and airport service quality dimensions was estimated. Second, differences between groups of passengers were examined. Sample data from a survey applied to passengers in a main Brazilian airport was used for structural equation modeling analyses. The results provided models with a good fit to the data. The findings for non-frequent passengers shown that the effects of expectation on airport service quality were significant for all the service quality dimensions examined, while frequent passengers only presented a significant relationship between expectation and the “Processes” dimension. Theoretical and practical contributions to airport planning and management are discussed based on the findings.
An Investigation of Airport Ground Access Strategies from A Post-Covid Perspective
Oguzhan Yilmaz, Loughborough UniversityShow Abstract
Matthew Frost, Loughborough University
Andrew Timmis, Loughborough University
Stephen Ison, De Montfort University
Until recently, addressing the environmental externalities associated with the use of the private car has been the main focus of the airport ground access policies worldwide. However, with emerging unprecedented challenges of the COVID-19 pandemic which have already changed the way we live, work and travel, encouraging a change in travel behaviour has become even more important. This has necessitated existing strategies to be reconsidered in favour of adapting to a highly uncertain ‘COVID-19 world’. Historically, there has been a dearth of literature relating to employees and airport ground access even though as a group they represent an important segment of airport users with much more complex ground access requirements. This paper therefore focuses on airport employee related airport ground access strategies considering an emerging understanding of the future impacts of COVID-19 on global air travel. Pre-COVID strategies have been investigated by conducting a documentary analysis of the most recent “Surface Access Strategies (SAS)” of 27 UK airports. The findings revealed that airport ground access strategies were mainly focused on setting targets and producing policy measures in favour of reducing car use and increasing the use of more sustainable transport modes including public transport, car sharing and active travel. However, it is worth noting that measures encouraging public transport and car sharing will be more difficult to practice due to social distancing and fear of close proximity, thus initiatives encouraging home-working, active travel and improved staff awareness will be at the forefront of the future ground access strategy development.
Joint Modeling of Access Mode and Parking Choice of Air Travelers Using Revealed Preference Data
Yanbo Ge (Yanbo.Ge@nrel.gov), National Renewable Energy Laboratory (NREL)Show Abstract
Alec Biehl, Oak Ridge National Laboratory
Srinath Ravulaparthy, Lawrence Berkeley National Laboratory
Caleb Phillips, National Renewable Energy Laboratory (NREL)
Understanding airline passengers’ airport ground access mode choice decision is not only important for decision-making related to ground access planning, but also critical for demand modeling / energy demand assessment for the regional travel demand model. Parking product choice is another important dimension to understand the mobility dynamics near airports for revenue estimation. Most airports offer multiple parking options with different pricing schemes at different locations near the airport. Previous studies on airport ground access mode choice have not considered the choices of multiple parking options, but instead treat parking as a mode choice with a fixed price. Using a passenger survey conducted in Dallas-Fort Worth (DFW) airport in 2015 by North Central Texas Council of Governments (NCTCOG), this paper utilizes a nested logit model to investigate consumers’ joint decision behavior of access mode and parking product choice as determined by time, cost, other travel characteristics, as well as socio-demographic features of the respondents. Compared to the traditional conditional logit model, the joint model of mode choice and parking decision generates more realistic value of travel time and better predictive power, and also can help better illustrate the interplay of mode and parking choice.
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