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Cited by 399

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Comprehensive Econometric Microsimulator for Daily Activity-Travel Patterns

Bhat, Chandra R., Guo, Jessica Y., Srinivasan, Sivaramakrishnan, Sivakumar, Aruna·2004·Transportation Research Record: Journal of the Transportation Research Board

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.

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Metadata

Authors
Bhat, C. R., Guo, J. Y., Srinivasan, S., & Sivakumar, A.
Venue
Transportation Research Record: Journal of the Transportation Research Board
Published
2004-01
Volume
1894
Issue
1
Pages
57-66
ISSN
  • 0361-1981 (ISSN-L)
  • 2169-4052
OpenAlex
W2029440021
Cited by
399
References
1
FWCI
39.05
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Comprehensive Econometric Microsimulator for Daily Activity-Travel Patterns. https://app.cochat.ai/papers/10.3141/1894-07
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Bhat, C. R., Guo, J. Y., Srinivasan, S., & Sivakumar, A. (2004). Comprehensive Econometric Microsimulator for Daily Activity-Travel Patterns. Transportation Research Record: Journal of the Transportation Research Board. https://doi.org/10.3141/1894-07

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.