Description
Accurately modeling individual travel demand and behavior is essential for forecasting the impact of alternative policies both at the disaggregated and aggregated levels. This paper presents the estimation of an activity-based model for travel demand modeling in Denmark and its implementation within SimMobility. SimMobility is an integrated agent- and activity-based simulation platform that allows for individual behavior simulation in different time scales (from seconds to years), simultaneously simulating demand and supply. Similar to Landstrafikmodellen - LTM (tour-based model), the activity-based framework we follow models individuals’ travel behavior has a utility-maximizing approach and analyzes travels according to home-based tours. Yet, as the name suggests, our modeling framework is built under the premise that travel demand is derived from the need/desire to pursue activities and, thus, home-based tours are combined into a daily activity schedule for each individual. By considering a daily activity schedule, it is possible to account for the limitations and opportunities of performing activities during the day, including at-home activities and multiple tours, as well as utilities and costs for individuals of both travel and activities.| Period | 2022 |
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| Event title | Annual Transport Conference at Aalborg University |
| Event type | Conference |
| Location | Aalborg, DenmarkShow on map |
| Degree of Recognition | National |