Integrating activity-based travel-demand models with land-use and other long-term lifestyle decisions

Abstract

This paper extends and integrates the general activity-based model framework to present the complex relationship between longterm individual decisions, such as residential location, and daily activity and travel-behavior decisions. More specifically, it demonstrates the use of an activity-based accessibility (ABA) measure as an important variable in residential zone choice, thus serving as the link between short-term activity and travel decisions and long-term residential choice decisions. We develop a partial activity-based model accounting for the interrelationship of the main activity type, travel destination and mode choice. The log-sum at the top of the hierarchy of this model is the ABA measure capturing the overall utility of all travel alternatives. The results show that this measure is a highly significant variable in the residential-choice model, clearly indicating the great influence of activity accessibility, short-term opportunities, and travel decisions on residential area choice. All other log-sums were also significant, showing the interrelationships of all choices. Specifically, the destinationchoice log-sum in the main activity-choice model demonstrates that as accessibility increases, people are more likely to participate in out-ofhome activities.

Transport Infrastructure and Regional Development: A Survey of Literature on Wider Economic and Spatial Impacts

“…In recent years, research on changes in accessibility, conducted on the basis of ABA (activity-based accessibility) measures, has been gaining importance [135]. ABA is generated with a model based on a day activity schedule (DAS), where rather than being looked at independently, every trip is analysed in the framework of an activity system/schedule.…”

“…Ref. [135] demonstrates how to use activitybased accessibility (ABA) measures to determine the importance of daily accessibility as a variable in residence selection, such accessibility being an intermediate link between shortterm daily activities, including work and school commuting decisions, etc., and long-term residence decisions (see below for the impact of transport investments on housing prices).…”

Navigating a fad or the future? Opportunities and limitations in integrating carshare membership and automated vehicle propensity in travel demand forecasting

“…To explore the implications, an AV ownership model (either private ownership or shared 'pass' membership) may be central for forecasts to capture AVs' impacts on the transportation system (El Zarwi, Vij, and Walker 2017;Nordhoff et al 2019). Several initiatives to integrate new technologies in modeling have already suggested a need to more flexibly reflect household travel and location decisions (Ciari, Balmer, and Axhausen 2007;Ciari, Schuessler, and Axhausen 2013;Katoshevski et al 2015).…”

Using panel data for modelling duration dynamics of outdoor leisure activities

“…One effect is that the duration of the main activity can affect the propensity to undertake a secondary trip (Shiftan and Ben-Akiva, 2011). For instance, when the duration of a particular activity is long and is considered the primary/main activity (Katoshevski et al, 2015), there may not be any secondary trip. On the other hand, shorter periods of activity can be followed by one or more secondary trips towards different activities.…”