National Academies Press: OpenBook

Airport Landside Data: Collection and Application (2023)

Chapter: Chapter 7 - Summary of Findings and Suggestions for Future Research

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Suggested Citation:"Chapter 7 - Summary of Findings and Suggestions for Future Research." National Academies of Sciences, Engineering, and Medicine. 2023. Airport Landside Data: Collection and Application. Washington, DC: The National Academies Press. doi: 10.17226/27403.
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Page 32
Page 33
Suggested Citation:"Chapter 7 - Summary of Findings and Suggestions for Future Research." National Academies of Sciences, Engineering, and Medicine. 2023. Airport Landside Data: Collection and Application. Washington, DC: The National Academies Press. doi: 10.17226/27403.
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Page 33

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32 7.1 Summary of Findings Airport staff indicated that the collection and analysis of data are crucial for effectively man- aging airport landside operations. This information provides valuable insights into passenger demand patterns, enabling airport operators to make informed decisions that improve the overall passenger experience, optimize resource allocation, enhance the efficiency of landside operations, and inform the design and layout of terminals. With data analysis, airport operators can ensure the smooth operation of all landside facilities and play a vital role in the global transportation system. The importance of effective decision-making in this area cannot be over- stated, as it directly influences the success of the airport and the satisfaction of its passengers. The information presented in this synthesis was gathered by conducting a literature search, surveying airports in the United States, and conducting nine case examples with the help of the staff at the airports serving Chicago (Midway and O’Hare), Denver, Fort Lauderdale, Indianapolis, Jackson, Orange County, Phoenix, and San Diego. The ongoing process of collecting, analyzing, and reporting data related to airport landside operations helps airport operators identify areas for improvement. Data are collected and ana- lyzed through a variety of methods, including: 1. Direct observation involves collecting data through observation of landside operations, such as passenger wait times, resource utilization, and customer satisfaction. 2. Surveys and questionnaires involve collecting data from passengers and other airport stake- holders through surveys and questionnaires, providing insights into customer experience and perceptions of airport services. 3. Electronic monitoring systems involve using electronic monitoring systems, such as sensors and cameras, to collect data on landside operations, including passenger wait times, resource utilization, and customer traffic patterns. 4. Data analytics involves using advanced analytics tools, such as data mining, machine learn- ing, and predictive modeling, to analyze large datasets and uncover insights into landside performance. Data collection and analysis results inform decision-making and drive operational improve- ments by highlighting areas of success and areas that require attention. This information allows airport operators to stay current on landside operations, respond quickly to changes in demand or performance, and continuously improve the customer experience. Data are used for the following purposes: 1. Planning and design: Landside data collection and analysis play a critical role in the plan- ning and design of airport facilities. Information on passenger movements, vehicle traffic C H A P T E R   7 Summary of Findings and Suggestions for Future Research

Summary of Findings and Suggestions for Future Research 33   patterns, and access routes can provide valuable insights into the needs of the airport and help inform the design of new facilities or improvements to existing ones. 2. Customer experience: Airports are increasingly focused on enhancing the customer experi- ence, and data can help. By collecting data on passenger wait times, congestion points, and other key performance indicators, airport operators can identify areas for improvement and make changes to enhance the passenger experience. 3. Day-to-day operations: Data collection and analysis are essential for effective day-to-day operations of airport landside facilities. Information on vehicle traffic patterns, passenger wait times, and concessions usage can be used to optimize operations and reduce delays, inform staffing decisions, and improve the airport’s overall efficiency. 4. Performance monitoring: Data collection and analysis are crucial for monitoring the per- formance of airport landside facilities. Information on key performance indicators, such as passenger wait times and vehicle traffic patterns, can be used to identify trends and make data-driven decisions to improve the airport’s performance. 7.2 Suggestions for Future Research In-depth research is needed to understand the financial implications of collecting, acquiring, analyzing, storing, and maintaining data for airport operations. These expenses could include the cost of equipment and technology, staffing and training, data security, and other related expenses. Understanding the costs associated with data collection, acquisition, storage, and analysis will give airport operators the information to make informed decisions about their data collection and analysis programs. Furthermore, evaluating the cost-effectiveness of different data collection methods and technologies is important in determining the appropriate data col- lection approach at each airport. This research could also explore the potential for cost savings through data sharing and collaboration between airports. Data privacy and security are becoming increasingly important issues in the modern world. As a result, airport operators must be aware of the legal challenges they may face when collecting, storing, and analyzing data. These challenges include complying with data privacy laws, ensuring data security, and managing data breaches. Additionally, further research into best data storage and security practices could provide airport operators with the tools and strategies needed to mitigate the risks associated with data storage and ensure that their data collection and analysis programs comply with relevant laws and regulations. Mitigating the risk of data issues is an essential area of research for airports, as data is a vital component of their decision-making processes. This research would focus on developing strate- gies and processes to minimize the risk of data errors, data loss, and data breaches that could negatively affect airport operations and customer experience. Data-sharing collaboration is also an important area of research for airports as they work to improve their operations and enhance the customer experience. This research would focus on identifying best practices for sharing data between airport operators, airlines, government agencies, and other stakeholders to improve decision-making and operational efficiencies while ensuring the privacy and security of shared data.

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Airports collect data to help understand the customer journey from the entrance or access points of the airport to the boarding gates. Processes may change in order to improve the customer experience when the collected data are analyzed.

ACRP Synthesis 132: Airport Landside Data: Collection and Application, from TRB's Airport Cooperative Research Program, documents landside data, collection methods, analysis, and interpretation and discusses how that information affects airport decision-making.

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