Year: 2019
Type: conference-paper
Abstract: Agent-based models became popular in recent decades, as more traditional modeling approaches were not suitable to model emerging transportation modes and transport policies. However, creating a detailed scenario, which is the basis of the agent-based model and that represents the supply and the demand for a study area, is not trivial and requires substantial effort. This is even more the case when the study area is large and one that contains a large number of people living and performing activities in it. This is exactly the case for the region of Greater Jakarta, which is the subject of this research, with an area of approximately 8000 km2 and 30 milion people. Here we present the synthesis of the Greater Jakarta commuting scenario that can help future researchers in generating large-scale scenarios in regions where the data is scarce or not easily obtainable. First runs, using an agent-based model MATSim, are presented and can be used as a back-bone for future improvements of the Greater Jakarta scenario and investigation of different transport related questions for the area.
Source: Procedia Computer Science
Institution: ETH Zurich
Language: English
Subfield: Transportation
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W2945487901