PILOT STUDY FOR THE MODELLING OF CONGESTION PRICING IN KOTA KINABALU, SABAH

Authors

  • Mohd Azizul Ladin Lecturer, Faculty of Engineering UMS, University Malaysia Sabah, Kota Kinabalu, Malaysia
  • Siti Nurmasyittah Binti Ag Besar Research Assistant, Universiti Malaysia Sabah, University Malaysia, Sabah, Kota Kinabalu, Malaysia
  • Noor Sheena Herayati Harith Lecturer, Faculty of Engineering UMS, University Malaysia Sabah, Kota Kinabalu, Malaysia
  • Nurmin Bolong Lecturer, Faculty of Engineering UMS, University Malaysia Sabah, Kota Kinabalu, Malaysia
  • Ismail Saad Lecturer, Faculty of Engineering UMS, University Malaysia Sabah, Kota Kinabalu, Malaysia
  • Nazaruddin Taha Faculty of Engineering UMS, University Malaysia Sabah, Kota Kinabalu, Malaysia

DOI:

https://doi.org/10.20319/mijst.2020.61.3344

Keywords:

Pilot Study, Congestion Charge, Public Transport, Modal Shift, Logistic Model

Abstract

Congestion pricing is a policy at which road users being charged with certain amount for using particular road during peak hours. It is as much about meeting the demand of car drivers for road space as allocating road space between road users. It has been successfully implemented in some other countries such as Stockholm, London and Singapore with various scheme of congestion pricing. Hence, the main aim of this pilot study is to evaluate and create model based on the willingness of the Kota Kinabalu City residents’ to shift to public transport due to the implementation of congestion pricing. A total of 60 respondents were randomly chosen within Kota Kinabalu City. Data collection is being conducted using stated preference survey and analysed with Microsoft Office Excel 2010 in order to conduct regression analysis and develop a logistic transport model analysis. It is found that the number of people who willing to shift to public transport is parallel with the congestion charge amount. The results from this pilot study indicate that 71.67% of respondents are willing to shift to public transport when the congestion charge price is RM4.00. This study can give contribution for further transportations planning in order to achieve sustainable transportations in Kota Kinabalu, Sabah.

References

Borneo Post, 2015, World Bank report highlights worsening KK traffic woes. 3rd July.

Börjesson, M., Eliasson, J., Hugosson, M.B., Brundell-Freij, K. (2012). The Stockholm congestion charges—5 years on. Effects, acceptability and lessons learnt. Transp. Policy 20, 1–12. https://doi.org/10.1016/j.tranpol.2012.04.004 https://doi.org/10.1016/j.tranpol.2011.11.001

Bray, D. and N. Holyoak (2015), “Motorcycles in Developing Asian Cities: A Case Study of Hanoi”, 37th Australasian Transport Research Forum, unpublished conference paper.

Department of Statistics Malaysia. 2019. Current Population Estimates, Malaysia, 2018-2019. Retrieved from https://www.dosm.gov.my/v1/index.php?r=column/cthemeByCat&cat=155&bul_id=aWJZRkJ4UEdKcUZpT2tVT090Snpydz09&menu_id=L0pheU43NWJwRWVSZklWdzQ4TlhUUT09 on 24th June 2019.

Eliasson, J. (2009). A cost–benefit analysis of the Stockholm congestion charging system. Transportation Research Part A, 43(4), 468-480. https://doi.org/10.1016/j.tra.2008.11.014

Eliasson, J., Mattsson, L., 2006. Equity effects of congestion pricing quantitative methodology and a case study for Stockholm. Transportation Research Part A 40, 602 – 62. https://doi.org/10.1016/j.tra.2005.11.002

Grieco, M., Pickup, L., & Whipp, R. (1989). Gender, transport and employment: The impact of travel constraints. Surrey, UK: Gower Publishing Company.

Indra Balachandran and Ibrahim Bin Hamzah. (2017) The Influence of Customer Satisfaction on Ride-Sharing Services In Malaysia. International Journal of Accounting & Business Management. Vol. 5(2): 2289-4519.

Leape, J. (2006). The London congestion charge. The Journal of Economic Perspectives, 20(4), 1-176. https://doi.org/10.1257/jep.20.4.157

Liu, Z., Meng, Q. and Wang, S. (2013). Speed-based Equation Chapter 1 Section 1 Toll Design for Cordon-Based Congestion Pricing Scheme, Transportation Research Part C, 31, 83-98. https://doi.org/10.1016/j.trc.2013.02.012

Mohd Noor, H., & Md Nor, A. R. (2016). A Case Study of Socioeconomic Influence on the Use of Public Transport in Kota Kinabalu Urban Area, Malaysia. Jurnal Kinabalu, 19.

Sabah Tourism Board. (2011). Greater KK Overview. Retrieved from http://www.sedia.com.my/SDC_EPP/GreaterKK_Overview_Transport.pdf on 28th February 2019.

Schuitema, G., Steg, L., Forward, S. (2010). Explaining differences in acceptability before and acceptance after the implementation of a congestion charge in Stockholm. Transportation Research Part A: Policy and Practice, 44(2), 99-109. https://doi.org/10.1016/j.tra.2009.11.005

Yang, H. and Huang, H. J. (2005). Mathematical and Economic Theory of Road Pricing. Elsevier. https://doi.org/10.1108/9780080456713

Downloads

Published

2020-04-09

How to Cite

Ladin, M. A., Besar, S. N. B. A., Harith, N. S. H., Bolong, N., Saad, I., & Taha, N. (2020). PILOT STUDY FOR THE MODELLING OF CONGESTION PRICING IN KOTA KINABALU, SABAH. MATTER: International Journal of Science and Technology, 6(1), 33–44. https://doi.org/10.20319/mijst.2020.61.3344