Comprehensive Econometric Microsimulator for Daily Activity-Travel Patterns. Bhat, C. R., Guo, J. Y., Srinivasan, S., & Sivakumar, A. Transportation Research Record, 1894(1):57–66, January, 2004.
Comprehensive Econometric Microsimulator for Daily Activity-Travel Patterns [link]Paper  doi  abstract   bibtex   
The Comprehensive Econometric Microsimulator for Daily Activity-Travel Patterns (CEMDAP) is a microsimulation implementation of an activity-travel modeling system. Given as input various land use, sociodemographic, activity system, and transportation level-of-service attributes, the system provides as output the complete daily activity-travel patterns for each individual in each household of a population. The underlying econometric modeling framework and the software development experience associated with CEMDAP are described. The steps involved in applying CEMDAP to predict activity-travel patterns and to perform policy analysis are also presented. Empirical results obtained from applying the software to the Dallas-Fort Worth area demonstrate that CEMDAP provides a means of analyzing policy impacts in ways that are generally infeasible with the conventional four-stage approach.
@article{bhat_comprehensive_2004,
	title = {Comprehensive {Econometric} {Microsimulator} for {Daily} {Activity}-{Travel} {Patterns}},
	volume = {1894},
	issn = {0361-1981},
	url = {https://doi.org/10.3141/1894-07},
	doi = {10.3141/1894-07},
	abstract = {The Comprehensive Econometric Microsimulator for Daily Activity-Travel Patterns (CEMDAP) is a microsimulation implementation of an activity-travel modeling system. Given as input various land use, sociodemographic, activity system, and transportation level-of-service attributes, the system provides as output the complete daily activity-travel patterns for each individual in each household of a population. The underlying econometric modeling framework and the software development experience associated with CEMDAP are described. The steps involved in applying CEMDAP to predict activity-travel patterns and to perform policy analysis are also presented. Empirical results obtained from applying the software to the Dallas-Fort Worth area demonstrate that CEMDAP provides a means of analyzing policy impacts in ways that are generally infeasible with the conventional four-stage approach.},
	language = {en},
	number = {1},
	urldate = {2019-05-24},
	journal = {Transportation Research Record},
	author = {Bhat, Chandra R. and Guo, Jessica Y. and Srinivasan, Sivaramakrishnan and Sivakumar, Aruna},
	month = jan,
	year = {2004},
	keywords = {tabuchi},
	pages = {57--66}
}

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