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Panel analysis in transportation planning: An overview
Affiliation:1. Ulsan National Institute of Science and Technology, School of Urban and Environmental Engineering, Building 110, 1013-1, 50 UNIST-gil, Ulju-gun, Ulsan 44919, Republic of Korea;2. Ulsan National Institute of Science and Technology, School of Urban and Environmental Engineering, Building 110, 1001-5, 50 UNIST-gil, Ulju-gun, Ulsan 44919, Republic of Korea;1. Department of Communication, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA;2. Taubman College of Architecture and Urban Planning, University of Michigan, USA;1. Future Resilient Systems at Singapore-ETH Centre, ETH Zurich, Singapore;2. The University of Hong Kong, Hong Kong;3. The University of Hong Kong Shenzhen Institute of Research and Innovation, Shenzhen, PR China;4. Imperial College London, UK;5. The Pennsylvania State University, USA
Abstract:The advantages, disadvantages, and issues involved in the panel analysis of travel behavior are discussed. Increased statistical efficiency, possibility of improved prediction, and the ability to observe changes and examine behavioral dynamics, are among the advantages panel data offer. Their disadvantages, on the other hand, stem from the added biases and costs of panel survey, and increased complexity involved in the analysis. Following a discussion of response lags, leads, and other dynamic elements of travel behavior, the paper offers a brief review of statistical methods available for the analysis of panel data. Use of panel data and dynamic models for demand forecasting is then described, followed by sample size, interview frequency, and other considerations in panel survey design and administration.
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