To read this content please select one of the options below:

Urban mobility modeling to reduce traffic congestion in Surabaya: a system dynamics framework

Erma Suryani (Department of Information Systems, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia)
Rully Agus Hendrawan (Department of Information Systems, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia)
Philip Faster Eka Adipraja (Department of Informatics, STMIK Asia Malang, Malang, Indonesia)
Arif Wibisono (Department of Information Systems, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia)
Lily Puspa Dewi (Department of Informatics, Universitas Kristen Petra, Surabaya, Indonesia)

Journal of Modelling in Management

ISSN: 1746-5664

Article publication date: 28 February 2020

Issue publication date: 7 April 2021

1026

Abstract

Purpose

This paper aims to address the urban mobility and traffic congestion problem under environmental dynamics to improve mobility and reduce traffic congestion using system dynamics (SD) simulation and scenarios.

Design/methodology/approach

SD simulation was used to analyze urban mobility and traffic congestion. Data were collected from the Transportation Department of Surabaya City. Several scenarios to improve urban mobility and reduce traffic congestion were developed by modifying the structures and parameters of the model.

Findings

Several factors influence urban mobility, including modal split, trip frequency, delay performance and the ratio of public transport supply and demand. Urban mobility, daily traffic and road capacity are some factors that affect traffic congestion. Scenarios can be designed based on the assumptions of the proposed strategy.

Research limitations/implications

The study was conducted at Surabaya City, East Java, Indonesia, which is the fourth most-congested city in the world.

Practical implications

By implementing several strategies (mass rapid transit and bus rapid transit development and public transport delay reduction), mobility performance is projected to be improved by 70.34-92.96%. With this increased mobility, traffic congestion is projected to decline by 52.5-65.8%.

Originality/value

The novel contributions of this research are: formulating relationships between several variables; modeling dynamic behavior of urban mobility and traffic congestion; and building scenario models to improve mobility and reduce traffic congestion in Surabaya. With the increase in urban mobility and the decrease in average daily traffic, traffic congestion could be reduced by a minimum of 57.6% and a maximum of 69%.

Keywords

Acknowledgements

This work was supported by ITS (Institut Teknologi Sepuluh Nopember) Research Center, Enterprise Systems Laboratory, City Transportation Office of Surabaya and Faculty of Information and Communication Technology of ITS.

This paper forms part of special section “System Dynamics Contributions to Modelling in Management”, guest edited by Martin Kunc, Federico Barnabe and Juan Pablo Torres.

Citation

Suryani, E., Hendrawan, R.A., Adipraja, P.F.E., Wibisono, A. and Dewi, L.P. (2021), "Urban mobility modeling to reduce traffic congestion in Surabaya: a system dynamics framework", Journal of Modelling in Management, Vol. 16 No. 1, pp. 37-69. https://doi.org/10.1108/JM2-03-2019-0055

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

Related articles