Assessment of Spatiotemporal Peak Shift of Intra-Urban Transportation Taking a Case in Bangkok, Thailand

Masanobu Kii, Yuki Goda, Varameth Vichiensan, Hiroyuki Miyazaki and Rolf Moeckel
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Masanobu Kii: Faculty of Engineering and Design, Kagawa University, Takamatsu 761-0396, Japan
Yuki Goda: Faculty of Engineering and Design, Kagawa University, Takamatsu 761-0396, Japan
Varameth Vichiensan: Center for Logistics Engineering Technology and Management, Department of Civil Engineering, Faculty of Engineering, Kasetsart University, Bangkok 10900, Thailand
Hiroyuki Miyazaki: Center for Spatial Information Science, The University of Tokyo, Tokyo 277-8568, Japan
Rolf Moeckel: Department of Civil, Geo and Environmental Engineering, Technical University of Munich, 80333 Munich, Germany

Sustainability, 2021, vol. 13, issue 12, 1-16

Abstract: Reducing congestion has been one of the critical targets of transportation policies, particularly in cities in developing countries suffering severe and chronic traffic congestions. Several traditional measures have been in place but seem not very successful. This paper applies the agent-based transportation model MATSim for a transportation analysis in Bangkok to assess the impact of spatiotemporal transportation demand management measures. We collect required data for the simulation from various data sources and apply maximum likelihood estimation with the limited data available. We investigate two demand management scenarios, peak time shift, and decentralization. As a result, we found that these spatiotemporal peak shift measures are effective for road transport to alleviate congestion and reduce travel time. However, the effect of those measures on public transport is not uniform but depends on the users’ circumstances. On average, the simulated results indicate that those measures increase the average travel time and distance. These results suggest that demand management policies require considerations of more detailed conditions to improve usability. The study also confirms that microsimulation can be a tool for transport demand management assessment in developing countries.

Keywords: urban transport; microsimulation; MATSim; developing countries; traffic congestion; public transport; travel time; peak shift; decentralization (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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