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Transit oriented development (TOD) has emerged in recent years as a promising paradigm to promote public transportation, increase active transportation usage, mitigate congestion, and alleviate air pollution. However, there is a lack of analytic studies investigating the benefits of TOD quantitatively. Two major challenges of modeling a multimodal transportation network with TOD areas are: (1) failing to consider differences in feasible travel options available to different households in TOD areas may lead to inaccurate representations of travelers’ mode choice behavior, and (2) route overlapping is one of the major concerns in the route choice models used in the traffic assignment problem for predicting traffic pattern. The purpose of this study is to quantitatively assess TOD strategies with a new combined modal split and traffic assignment (CMSTA) problem that is capable of explicitly considering captive travel behavior and route overlapping. We conduct the assessment of TOD strategies in a multimodal transportation network. The assessment focuses on evaluating the effectiveness of TOD strategies in terms of mode share and vehicle miles travelled (VMT).

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TRCLC 15-11