Activity-Based Travel Demand Models: A Primer (2014) / Chapter Skim
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xvii PART 2: ISSUES IN ADOPTING INTEGRATED DYNAMIC MODELS SYSTEMS 125 CHAPTER 4 Introduction 127 Background 127 Purpose 128 CHAPTER 5 Case Examples 131 SHRP 2 C10A Jacksonville, Florida, and Burlington, Vermont 131 SHRP 2 C10B Sacramento, California 133 San Francisco County Transportation Authority's "DTA Anyway" 135 Maricopa Association of Governments Inner Loop Traffic Model 137 CHAPTER 6 Implementation Issues 141 Institutional Awareness and Capacity 141 Costs and Schedule 144 Data 148 Methodology and Software 150 Application 152 CHAPTER 7 Conclusions 155 Migration Path 155 Model Implementation Issues 156 REFERENCES for Part 2 159 Online version of this guide: www.trb.org/Main/Blurbs/170963.aspx.
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1INTRODUCTION In order to support informed decision making, transportation agencies have been increasingly developing and experimenting with activity-based travel demand models that describe how people plan and schedule their daily travel. Activity-based models more closely replicate actual traveler decisions and thus may provide better forecasts of future travel patterns.
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2ACTIVITY-BASED TRAVEL DEMAND MODELS: A PRIMER • developing data; • implementing the models and model system linkages; and • applying the model system. The third chapter presents and explains key activity-based model concepts.
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