Activity-based analysis (ABA) is an approach to understanding transportation, communication, urban, and related social and physical systems using individual actions in space and time as the basis. Although the conceptual foundations, theory, and methodology have a long tradition, until recently an aggregate trip-based approach dominated transportation science and planning. Changes in the business and policy environment for transportation and the increasingly availability of disaggregate mobility data have led to ABA emerging as the dominant approach. This chapter reviews the ABA conceptual foundations and methodologies. ABA techniques include data-driven methods that analyze mobility data directly as well as develop inputs for ABA modeling. ABA models include econometric models, rule-based models and microsimulation/agent-based models. This chapter concludes by identifying major research frontiers in ABA.
KeywordsCommunication behavior Time path Mobile object Microsimulation model Time geography
Dr. Walied Othman (University of Zurich) provided the Mathematica code to generate the network time prism (Fig. 4); this is available at http://othmanw.submanifold.be/. Ying Song (Ohio State University) generated some of the graphics. Ying Song and Calvin Tribby (Ohio State University) provided valuable comments on this chapter.
- Chapin FS (1974) Human activity patterns in the city: things people do in time and space. Wiley, LondonGoogle Scholar
- Jones PM (1979) New approaches to understanding travel behaviour: the human activity approach. In: Hensher DA, Stopher PR (eds) Behavioral travel modeling. Croom-Helm, London, pp 55–80Google Scholar
- McNally MG, Rindt CR (2007) The activity-based approach. Working paper UCI-ITS-AS-WP-07-1, Institute of Transportation Studies, University of California-IrvineGoogle Scholar
- Pinjari AR, Bhat CR (2011) Activity-based travel demand analysis. In: de Palma A, Lindsey R, Quinet E, Vickerman R (eds) Handbook in transport economics. Edward Elgar, Cheltenham, pp 213–248Google Scholar