A general activity-based methodology for simulating multimodal transportation networks during emergencies

  • Jeroen P.T. van der Gun Delft University of Technology
  • Adam J. Pel Delft University of Technology
  • Bart van Arem Delft University of Technology

Abstract

Many possible emergency conditions, including evacuations, negatively affect the urban transportation system by substantially increasing the travel demand and/or reducing the supplied capacity. A transportation model can be used to quantify and understand the impact of the underlying disasters and corresponding management strategies. To this end, we develop an efficient methodology suitable for simulating multimodal transportation systems affected by emergencies, based on the novel integration of an activity-based choice model with both pre-trip and en-route choices, and a macroscopic or mesoscopic dynamic network loading model. The model structure first estimates the daily equilibrium and then uses that result as a starting point to simulate the emergency situation without further iterations. Unlike previous efforts, our methodology satisfies all requirements identified from literature regarding transportation modeling for emergencies, and is sufficiently general to investigate a wide range of emergency situations and management strategies. An evacuation case study for Delft shows the feasibility of applying the methodology. Furthermore, it yields practical insights for urban evacuation planning that stem from complex system dynamics, such as important interactions among travel directions and among modes. This supports the need for a comprehensive modeling methodology such as the one we present in this paper.

How to Cite
GUN, Jeroen P.T. van der; PEL, Adam J.; AREM, Bart van. A general activity-based methodology for simulating multimodal transportation networks during emergencies. European Journal of Transport and Infrastructure Research, [S.l.], v. 16, n. 3, june 2016. ISSN 1567-7141. Available at: <https://journals.open.tudelft.nl/index.php/ejtir/article/view/3154>. Date accessed: 18 june 2019. doi: https://doi.org/10.18757/ejtir.2016.16.3.3154.
Published
2016-06-01