DISAGGREGATED MODAL-CHOICE MODELS OF DOWNTOWN TRIPS IN THE CHICAGO REGION

Abstract

MODAL-CHOICE MODELS THAT COMBINE BOTH REGIONAL AND BEHAVIORAL ASPECTS WERE SUCCESSFULLY DEVELOPED AND CALIBRATED FOR THE CHICAGO AREA. THE REGIONAL ASPECTS INCLUDE THE COVERAGE OF TRIP ORIGINS THROUGHOUT THE ENTIRE CHICAGO AREA AND THE ZONAL NATURE OF THE DATA. ASPECTS OF THE MODELS TYPICAL OF DISAGGREGATED AND BEHAVIORAL MODAL-CHOICE MODELS ARE THE FORM OF THE DEPENDENT VARIABLE (A DUMMY INDICATING THE MODE CHOSEN) AND THE ANALYTIC FUNCTIONS USED (LOGIT AND PROBIT). USING A DUMMY FOR THE DEPENDENT VARIABLE SOLVES THE PROBLEMS OF ERRORS IN THE DEPENDENT VARIABLE AND OF AGGREGATION OF VALUES OF THE INDEPENDENT VARIABLES. PROBIT AND LOGIT ANALYSES RESTRICT THE VALUE OF THE DEPENDENT VARIABLE SUITABLY AND ARE CONSISTENT WITH EXPECTED BEHAVIORAL PATTERNS. THE INDEPENDENT VARIABLES CHOSEN REFLECT CHARACTERISTICS OF TRAVELERS AND OF THE MODAL OPTIONS AVAILABLE FOR A PARTICULAR TRIP. THESE MODELS WERE DESIGNED TO BE USED BOTH AS PART OF THE URBAN TRANSPORTATION PLANNING PACKAGE FOR THE CHICAGO REGION AND AS REGIONAL PLANNING AND POLICY EVALUATION TOOLS BY THEMSELVES.

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