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78 Comprehensive Econometric Microsimulator for Daily Activity- Travel Patterns Recent Developments and Sensitivity Testing Results Chandra R. Bhat, University of Texas, Austin Abdul Pinjari, University of Texas, Austin Naveen Eluru, University of Texas, Austin Ipek Sener, University of Texas, Austin Rachel Copperman, University of Texas, Austin Jessica Guo, University of Wisconsin Siva Srinivasan, University of Florida The Comprehensive Econometric Microsimulator for Daily Activity- Travel Patterns (CEMDAP) is continuous- time activity- travel prediction software currently being evaluated through application to the DallasâFort Worth, Texas, metropolitan area. This paper describes the state of the overall work in progress and the tasks planned for refinement and testing of the software system. (All CEM- DAP documents are available at www.ce.utexas.edu/ prof/bhat/FULL_CEMDAP.htm.) The paper is organized as follows: First is a description of the latest version (Ver- sion 0.3) of CEMDAP, specifically an overview of the econometric modeling framework incorporated within Version 0.3 and a focus on software development efforts. Presented next is the sensitivity testing undertaken with Version 0.2 of the software. Last is a summary that includes identification of the areas of ongoing work and tasks planned for the immediate future. The Comprehensive Econometric Microsimulator forDaily Activity- Travel Patterns (CEMDAP) is based on asystem of econometric models. Each model corre- sponds to the determination of one or more activity- travel attributes. These models are applied in a systematic sequence to generate the daily activity and travel patterns of all members (both adults and children) in each household in the study area. The overall prediction procedure for a household is subdivided into two major sequential steps: first, the prediction of activity generation and allocation decisions and, second, the prediction of activity scheduling decisions. The first step predicts the decisions of household members to pursue various activities during the day. This step, in turn, comprises the following three sequen- tial steps (each of which may comprise one or more models): 1. Work and school activity participation and timing decisions, 2. Generation of childrenâs travel needs (such as school and leisure) and allocation of escort responsibili- ties to parents, and 3. Generation of independent activities (such as shop- ping, recreation, and personal business) for personal and household needs. The second step predicts the sequencing of the activi- ties generated in the previous step, accommodating the spaceâtime constraints imposed by work, school, and escort- of- children activities. This major step broadly comprises the following sequential scheduling steps (each of which may comprise one or more models): 1. Commutes for each worker in the household (mode; number of stops; and, for each stop, the activity type, activity duration, travel time, and location); 2. Drop- off tour for the nonworker escorting children to school; 3. Pick- up tour for the nonworker escorting children from school; 4. Commutes for school- going children (mode and duration);