ACTIVITY-BASED TRAVEL-DEMAND ANALYSIS FOR METROPOLITAN AREAS IN TEXAS: DATA SOURCES, SAMPLE FORMATION, AND ESTIMATION RESULTS

Chandra R. Bhat · Sivaramakrishnan Srinivasan · J Y Guo

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Transportation Planning and Optimization Urban Transport and Accessibility Human Mobility and Location-Based Analysis

Abstract

The project aims to comprehensively model the activity-travel patterns of workers as well as nonworkers in a household. The activity-travel system will take as input various land-use, sociodemographic, activity system, and transportation level-of-service attributes. It will provide as output the complete daily activity-travel patterns for each individual in the household. In addition to the short-term activity-travel decisions, longer-term decisions of household location, employment, and auto-ownership are also considered. This report presents detailed frameworks for modeling both the medium-term and the short-term decisions. Models were estimated using data from the Dallas-Fort Worth area. These empirical model results are presented and discussed in detail.

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References

1987Discrete Choice Analysis: Theory and Application to Travel Demand.1992Activity‐based approaches to travel analysis: conceptual frameworks, models, and research problems 2000Transportation–land-use interaction: empirical findings in North America, and their implications for modeling 1987Qualitative Choice Analysis-Theory, Econometrics and an Application to Automobile Demand.1979Housing decisions and the U.S. income tax 2003A mixed spatially correlated logit model: formulation and application to residential choice modeling 1998A comparison of two alternative behavioral choice mechanisms for household auto ownership decisions 1998Integration of an Activity-based Model System and a Residential Location Model

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2011Modelling Complex Activity‐Travel Scheduling Decisions: Procedure for the Simultaneous Estimation of Activity Generation and Duration Functions 2003ACTIVITY-BASED TRAVEL-DEMAND MODELING FOR METROPOLITAN AREAS IN TEXAS: A MICRO-SIMULATION FRAMEWORK FOR FORECASTING

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