Prioritization of sustainable urban land use and transport policy measures for a small-town area in a developing country
Article Sidebar
Main Article Content
Abstract
A decision-making tool (DMT) combining the KonSULT knowledge base expert system (KBES), AHP, and TOPSIS is applied to create, rank, and select policy measure options for sustainable urban land use and transport development in Khon Kaen University (KKU) in Thailand. KKU represents a small-town area in a developing country. KonSULT KBES is used to create potential policy measure options and provide contribution scores of each option to all minor criteria. AHP is adopted to estimate the relative weights of all decision criteria. TOPSIS is subsequently utilized to determine the composite scores of all options. Such estimated composite scores are eventually used to disclose the prioritization of those options. It is found that 22 (81%) out of the total of 27 policy measure options proposed by DMT are in the completely implemented, the being implemented, and the planning stages in KKU. Therefore, DMT can be applied to generate, prioritize, and select suitable urban land use and transport options for a small-town area (KKU) in Thailand. The ranking order of the top 10 most suitable policy measure options in KKU is pedestrian areas and routes, accident remedial measures, segregated cycle facilities, land use to support public transport, cycle and pedestrian safety, cycle network, school travel plans, traffic calming measures, development density and mix, and promotional activities. Finally, DMT can be utilized to advise administrators and decision-makers to undertake appropriate actions and properly allocate a limited budget for the implementation of such options in any small-town area in any developing country.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
Johnston R. Arsenic and the 2030 agenda for sustainable development. Arsenic Research and Global Sustainability - Proceedings of the 6th International Congress on Arsenic in Environment; 2016 Jun 19-23; Stockholm, Sweden. p. 12-14.
Pojani D, Stead D. Sustainable urban transport in the developing world: beyond megacities. Sustainability. 2015;7:7784-805.
Talebian A, Haghshenas H, Gholamialam A. Sustainable transportation policies identification for a certain city, using experiences of other similar cities around the world case study : Isfahan. TRB 2014 Annual Meeting; 2014 Jan 12-16; Washington, United States. p. 1-24.
Thilakshan T, Bandara SJ. Identification of relevant sustainable transportation links to sustainable development goals (SDGs) in the national context. 113th Annual IESL Sessions; 2019 Oct 17-18; Colombo, Sri Lanka. p. 341-348.
Strategy Division. Statistics and information Khon Kaen University, Strategy Division, Khon Kaen University [Internet]. 2022 [cited 2023 Jan 16]. Available from: https://strategy.kku.ac.th/kku-stat-it/. (In Thai)
Vilachai K. Using cultural capital for urban management, Khon Kaen Municipality, Thailand. Eur J Sustain Dev. 2017;6(2):227-32.
Satiennam T, Fukuda, Oshima R. A study on the introduction of bus rapid transit system in Asian developing cities: a case study on Bangkok Metropolitan Administration project. IATSS Res. 2006;30(2):59-69.
Klungboonkrong P, Bejrananda M, Faiboun N. The performance evaluation of the application of the environmental adaptation concept on a collector road in KKU, Thailand. The10th International Conference of Eastern Asia Society for Transportation Studies (EASTS); 2013 Sep 9-12; Taipei, Taiwan. p. 223.
Klungboonkrong P, Jaensirisak S, Satiennam T. Potential performance of urban land use and transport strategies in reducing greenhouse gas emissions: Khon Kaen case study, Thailand. Int J Sustain Transp. 2017;11(1):36-48.
Long S, Klungboonkrong P, Chindaprasirt P. Impacts of urban transit system development on modal shift and greenhouse gas (GHG) emission reduction: A Khon Kaen, Thailand case study. Eng Appl Sci Res. 2018;45(1):8-16.
Khon Kaen University. Project to develop GIS information database system for a Smart Campus development. Report of KKU Smart Campus Phase 1. Khon Kaen: Khon Kaen University; 2020. (In Thai)
SIRDC. KKU Master Plan Study. Khon Kaen: Khon Kaen University; 2007. (In Thai)
Strategy Division, Khon Kaen University. KKU action plan 2018-2023 [Internet]. 2023 [cited 2023 Jan 16]. Available from: https://strategy.kku.ac.th/docs/. (In Thai)
Khon Kaen University. KKU administrative and strategic plans 2020 - 2023 [Internet]. 2019 [cited 2023 Jan 15]. Available from: https://plan.kku.ac.th/pln2013/pdf/plan_KKU_2563_2566.pdf. (In Thai)
Security Division, Khon Kaen University. Annual report 2020 [Internet]. 2020 [cited 2023 Jan 15]. Available from: https://drive.google.com/file/d/1CWT4JA10wmbpjYzY4LZuMASqNTFZcmkA/view. (In Thai)
May AD, Nykanen TJ, Minken H, Ramjerdi F, Matthews R, Monzón A, et al. Procedures for recommending optimal sustainable planning of European city transport systems. UK: University of Leeds; 2001.
May AD, Karlstrom A, Marler N, Matthews B, Minken H, Monzon A, et al. A decision makers’ guidebook. United Kingdom: European Commission; 2005.
May AD, Taylor M. KonSULT-developing an international knowledgebase on urban transport policy instruments. Australasian Transport Research Forum (ATRF); 2002 Oct 2-4; Canberra, Australia. p. 1-16.
Eddington R. The Eddington transport study. Main report: transport’s role in sustaining the UK’s productivity and competitiveness. Norwich: Crown; 2006.
Kelly C, May AD, Jopson A, Gawthorpe S, Cook AJ, Tanner G. DISTILLATE: A KonSULT-based strategy option generator. Project report. London: University Westminster; 2008.
May AD, Kelly C, Jopson A. The development of an option generation tool to identify potential transport policy packages. Transp Policy. 2009;15(6):361-71.
May AD, Kelly C, Shepherd S, Jopson A. An option generation tool for potential urban transport policy packages. Transp Policy. 2012;20:162-73.
May AD. CH4LLENGE Measure selection manual – selecting the most effective packages of measures for sustainable urban mobility plans. Brussels: European Commission; 2016.
May AD, Khreis H, Mullen C. Option generation for policy measures and packages: an assessment of the KonSULT knowledgebase. Case Stud Transp Policy. 2018;6(3):311-8.
Huang JJ, Tzeng GH. Multiple attribute decision making: methods and applications. Boca Raton: CRC Press; 2011.
Klungboonkrong P, Taylor MAP. An integrated planning tool for evaluating road environmental impacts. Comput Aided Civ Infrastruct Eng. 1999;14(5):335-45.
Opricovic S, Tzeng GH. Compromise solution by MCDM methods: a comparative analysis of VIKOR and TOPSIS. Eur J Oper Res. 2004;156(2):445-55.
Macharis C, Bernardini A. Reviewing the use of multi-criteria decision analysis for the evaluation of transport projects: time for a multi-actor approach. Transp Policy. 2015;37:177-86.
Berrittella M, Certa A, Enea M, Zito P. An analytic hierarchy process for the evaluation of transport policies to reduce climate change impacts. SSRN Electronic Journal. 2007:1-23.
Damidavičius J, Burinskiene M, Antuchevičiene J. Assessing sustainable mobility measures applying multicriteria decision making methods. Sustainability. 2020;12(15):1-14.
Netirith N. The optimization of transport route from Chon Buri, Thailand to Kunming, China by Using AHP and TOPSIS. Naresuan Univ J. 2021;29(4):22-42.
Silva R, Santos G, Setti D. A multi-criteria approach for urban mobility project selection in medium-sized cities. Sustainable Cities and Society, 2022;86:104096.
Kalifa M, Özdemir A, Özkan A, Banar M. Application of multi-criteria decision analysis including sustainable indicators for prioritization of public transport system. Integr Environ Assess Manag. 2022;18(1):25-38.
Turcksin L, Bernardini A, Macharis C. A combined AHP-PROMETHEE approach for selecting the most appropriate policy scenario to stimulate a clean vehicle fleet. Procedia - Soc Behav Sci. 2011;20:954-65.
Behzadian M, Khanmohammadi OS, Yazdani M, Ignatius J. A state-of the-art survey of TOPSIS applications. Expert Syst Appl. 2012;39(17):13051-69.
Widianta MMD, Rizaldi T, Setyohadi DPS, Riskiawan HY. Comparison of multi-criteria decision support methods (AHP, TOPSIS, SAW & PROMENTHEE) for employee placement. J Phys Conf Ser. 2018;953:012116.
Rupprecht Consult. Guideline for developing and implementing a sustainable urban mobility plans. 2nd ed. Germany: Rupprecht Consult; 2019.
KonSULT. The knowledgebase on sustainable urban land use and transport – KonSULT [Internet]. 2016 [cited 2022 Oct 30]. Available from: http://www.konsult.leeds.ac.uk.
Khon Kaen University. A university for society: striding towards sustainability [Internet]. 2023 [cited 2023 Jan 19]. Available from: https://sdg.kku.ac.th/.
Khon Kaen University. Khon Kaen University annual report 2019 and sustainable development [Internet]. 2020 [cited 2023 Jan 19]. Available from: https://strategy.kku.ac.th/wp-content/uploads/2021/06/Reportkku2562_Eng-re.pdf.
Saaty TL. The analytic hierarchy process. New York: McGraw-Hill; 1980.
Saaty TL. Transport planning with multiple criteria: the analytic hierarchy process applications and progress review. J Adv Transp. 1995;29(1):81-126.
Saaty TL. How to make a decision: the analytic hierarchy process. Eur J Oper Res. 1990;48(1):9-26.
Saaty TL. How to make a decision: the analytic hierarchy process. Interfaces. 1994;24(6):19-43.
Harker PT, Vargas LG. Theory of ratio scale estimation: Saaty’s analytic hierarchy process. Manage Sci. 1987;33(11):1383-403.
Saaty TL. The analytic hierarchy process: planning, priority setting, resource allocation. New York: McGraw-Hill; 1980.
Saaty TL. Group decision making and the AHP. In: Golden BL, Wasil EA, Harker PT, editors. The analytic hierarchy process. Berlin: Springer; 1989. p. 59-67.