Activity-Based Modeling of Travel Demand

By Chandra R. Bhat, Frank S. Koppelman. 2003

319 citations recorded by the source corpus.

Subfields: Automotive Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/aa40060377f413542f6427d05ff0c6d278aa3908

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Soora Rasouli
2. Bert van Wee
3. H. Timmermans
4. D. Chatman
5. Marta C. González
6. Frank Witlox
7. Veronique Van Acker
8. Abdul Rawoof Pinjari

In Transportation

1. Frank Witlox
2. Veronique Van Acker
3. Abdul Rawoof Pinjari
4. Bert van Wee
5. Soora Rasouli
6. H. Timmermans
7. Marta C. González
8. Chandra R. Bhat

Citations in the corpus

• A review on agent-based technology for traffic and transportation (2013, background): “After this, origin, destination, and also departure time can be determined based on the respective trip connecting two activities (Bhat & Koppelman, 2003; Timmermans, 2005).”
• A Multiple Discrete-Continuous Nested Extreme Value (MDCNEV) Model: Formulation and Application to Non-worker Activity Time-Use and Timing Behavior on Weekdays (2010, background): “Such an analysis is central to the activity-based approach to travel modeling, because, in this approach, individuals’ activity-travel patterns are viewed as a result of their activity time-use decisions (see Bhat and Koppelman, 1999; Pendyala and Goulias, 2002; and Arentze and Timmermans, 2004).”
• Activity-based models of travel demand: promises, progress and prospects (2014, background): “…were the 1990 Clean Air Act Amendments in the USA, which called for the inclusion of transportation control measures in transportation improvement programmes in heavily polluted non-attainment areas and, by state law, for all non-attainment areas in California (e.g. Bhat & Koppelman, 1999).”
• When Transport Geography Meets Social Psychology: Toward a Conceptual Model of Travel Behaviour (2010, methodology): “They also suggested that activities can be planned consciously or more routine-like (Ettema and Timmermans, 1997; Bhat and Koppelman, 1999b; Lee and McNally, 2003).”
• Deconstructing development density: Quality, quantity and price effects on household non-work travel (2008, methodology): “3 (below) is that it treats travel as an end of consumption rather than attempting to model it as an outcome of daily activity patterns as done in the activity modeling literature (see, e.g., Ben-Akiva and Bowman 1998; Bhat and Koppelman 1999; Gliebe and Koppelman 2002; Golob 1998; Kitamura 2001; Wa”
• Spatiotemporal Patterns of Urban Human Mobility (2012, background): “Some can be direct approaches such as traffic forecasting [1], activity based modeling [2], and the design of transportation networks [3], while some others require more simplified models of human mobility such as the spreading of viruses and the evolution of epidemics [4–8], measuring human exposure…”
• Activity-based Travel Demand Analysis (2011, background): “ACTIVITY-BASED TRAVEL DEMAND ANALYSIS Abdul Rawoof Pinjari and Chandra R. Bhat The University of Texas at Austin”
• Is Average Daily Travel Time Expenditure Constant? In Search of Explanations for an Increase in Average Travel Time (2006, background): “Explanations result from an optimal balance between time for activities and related travel (Dijst, 1995; Bhat and Koppelman, 1999) and from the marginal disutility of extra travel time or additional trips compared to the marginal benefits of related activities (e.”