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Statistical and Econometric Methods for Transportation Data Analysis
Abstract
As the field of transportation moves toward the "total quality management" paradigm, performance-based outcomes and quantitative measures have become increasingly important. Measuring performance in the field depends heavily on modeling trends and data, which in turn requires powerful, and flexible analytical tools. To date, however, transportation
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Cited by
Short-term traffic forecasting: where we are and where we’re going
Vlahogianni, E. I., Karlaftis, M. G., & Golias, J. C. (2014) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2014.01.005 · Cited by 1,132
Self-citationA note on modeling vehicle accident frequencies with random-parameters count models
Anastasopoulos, P. C., & Mannering, F. L. (2009) · Accident Analysis & Prevention · doi:10.1016/j.aap.2008.10.005 · Cited by 688
Self-citationData mining of tree-based models to analyze freeway accident frequency
Chang, L.-Y., & Chen, W.-C. (2005) · Journal of Safety Research · doi:10.1016/j.jsr.2005.06.013 · Cited by 417
Chang, L.-Y. (2005) · Safety Science · doi:10.1016/j.ssci.2005.04.004 · Cited by 344
Analysis of telecommuting behavior and impacts on travel demand and the environment
Shabanpour, R., Golshani, N., Tayarani, M., Auld, J., & Mohammadian, A. (. (2018) · Transportation Research Part D: Transport and Environment · doi:10.1016/j.trd.2018.04.003 · Cited by 167
Metadata
- Authors
- Washington, S. P., Karlaftis, M. G., & Mannering, F.
- Venue
- Chapman & Hall/CRC eBooks
- Publisher
- Chapman and Hall/CRC
- Published
- 2003-04-29
- OpenAlex
- W1485147006
- Cited by
- 1,901
- References
- 0
- FWCI
- 71.87
- Type
- book
- Language
- en
- Open access
- closed
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