Abstract

The South Sumatra province faces several challenges in maintaining a resilient hinterland connection due to high rates of road damage. National roads are dominated by heavy vehicle mix, which reaches 64% and leads to road congestion caused by over-dimension over-loading vehicles. In addition, the province's lowland geography and high rainfall lead to some roads being submerged during the rainy season. There are also inconsistencies in handling standards between national, provincial, and local roads which pose challenges for road usage. To address these issues, a multi-criteria analysis (MCA) was conducted, which resulted in a new method replacing the pavement management system (PMS) with a global road management system (GRMS). The research also identified criteria for the road management system, with transportation receiving the highest score of 3.76. This suggests that, among the stated criteria, transportation mobility is still the most important factor in assessing the performance of the road network. The analysis produced new criteria, including technique, transportation, economy, and ecology, with the best route being Route Lampung-Oku-Palembang, which received a score of 3.85 and was deemed a top priority.

Keyword

Hinterland connection, Resilience, Global roads management system.

Cite this article

Nawawi N, Buchari E, Arliansyah J, Syah DO.Multi-criteria analysis for the best route selection of resilience hinterland connection: a case study of South Sumatra province, Indonesia. International Journal of Advanced Technology and Engineering Exploration. 2024;11(112):420-436. DOI:10.19101/IJATEE.2023.10102467

Refference

[1]https://sumsel.bps.go.id/publication/2022/02/25/f9646f2d59150d7c3e1201c2/provinsi-sumatera-selatan-dalam-angka-2022.html. Accessed 02 February 2024.

[2]Hudson WR, Haas R, Uddin W. Infrastructure management: Integrating design, construction, maintenance, rehabilitation, and renovation. McGraw-Hill, New York; 1997.

[3]Buchari E. The importance of hinterland connection to improve port productivity in south Sumatera. Eastern Asia Society for Transportation Studies. 2015.

[4]https://balai3.files.wordpress.com/2018/10/renstra1.pdf. Accessed 02 February 2024.

[5]Indrayani I, Asfiati S. Pencemaran udara akibat kinerja lalu-lintas kendaraan bermotor di kota medan. Jurnal Permukiman. 2018; 13(1):13-20.

[6]Muneera CP, Karuppanagounder K. Econommic impact of traffic congestion-estimation and challenges. 2020; 68(5):1-19.

[7]Indrayani AS. Air Pollution Due to Traffic Performance. Air Pollution Due to Traffic Performance of Motor Vehicles in Medan City. Journal of Settlements [Internet]. 2018; 13(1):13-20.

[8]Tamin OZ. Concept for regional transportation system development in the era of regional autonomy. National seminar on strategies for fulfilling needs and determining priorities for regional infrastructure development, directorate general of regional development, ministry of home affairs-Bapenas, Jakarta 2001.

[9]Karami M, Herianto D, Ofrial SA, Yulianti N. Empirical analysis for measuring travel time reliability on road network. Civil Engineering Dimension. 2021; 23(2):100-7.

[10]Chen H, Cullinane K, Liu N. Developing a model for measuring the resilience of a port-hinterland container transportation network. Transportation Research Part E: Logistics and Transportation Review. 2017; 97:282-301.

[11]Imran M, Cheyne C, Harold H. Measuring transport resilience: a Manawatu-Wanganui region case study. 2014: 1-69.

[12]Indirli M, Borg RP, Formisano A, Martinelli L, Marzo A, Romagnoli F, et al. Building resilience in times of new global challenges: a focus on six main attributes. In Geohazards and disaster risk reduction: multidisciplinary and integrated approaches 2023 (pp. 293-319). Cham: Springer International Publishing.

[13]Zhang Y, Cheng L. The role of transport infrastructure in economic growth: empirical evidence in the UK. Transport Policy. 2023; 133:223-33.

[14]Sakketa TG. Urbanisation and rural development in Sub-Saharan Africa: a review of pathways and impacts. Research in Globalization. 2023:100133.

[15]Holling CS. Resilience and stability of ecological systems. Annual Review of Ecology and Systematics. 1973; 4(1):1-23.

[16]Berdica K, Mattsson LG. Vulnerability: a model-based case study of the road network in Stockholm. Critical Infrastructure: Reliability and Vulnerability. 2007: 81-106.

[17]Callo-concha D, Ewert F. Using the concepts of resilience, vulnerability and adaptability for the assessment and analysis of agricultural systems. Change and Adaptation in Socio-Ecological Systems Climate Change, Social Changes, Technological Development. 2014; 1(2014):1-11.

[18]Jenelius E, Mattsson LG. Resilience of transport systems. Encyclopedia of Transportation. 2020: 1-16.

[19]Wang JY. ‘Resilience thinking’in transport planning. Civil Engineering and Environmental Systems. 2015; 32(1-2):180-91.

[20]Rose A, Liao SY. Modeling regional economic resilience to disasters: a computable general equilibrium analysis of water service disruptions. Journal of Regional Science. 2005; 45(1):75-112.

[21]Barnett A, Barraclough RW, Becerra V, Nasuto S. A comparison of methods for calculating the carbon footprint of a product. Environ. Monit. Assess. 2012; 178:135-60.

[22]Woods DD. Resilience engineering: concepts and precepts. CRC Press; 2017.

[23]Soltani-sobh A, Heaslip K, El KJ. Estimation of road network reliability on resiliency: an uncertain based model. International Journal of Disaster Risk Reduction. 2015; 14:536-44.

[24]Murray-tuite PM. A comparison of transportation network resilience under simulated system optimum and user equilibrium conditions. In proceedings of the 2006 winter simulation conference 2006 (pp. 1398-405). IEEE.

[25]Behdani B, Wiegmans B, Roso V, Haralambides H. Port-hinterland transport and logistics: emerging trends and frontier research. Maritime Economics & Logistics. 2020; 22:1-25.

[26]Liu X, Li D, Ma M, Szymanski BK, Stanley HE, Gao J. Network resilience. Physics Reports. 2022; 971:1-8.

[27]Ahmed S, Dey K. Resilience modeling concepts in transportation systems: a comprehensive review based on mode, and modeling techniques. Journal of Infrastructure Preservation and Resilience. 2020; 1:1-20.

[28]Pan X, Dang Y, Wang H, Hong D, Li Y, Deng H. Resilience model and recovery strategy of transportation network based on travel OD-grid analysis. Reliability Engineering & System Safety. 2022; 223:108483.

[29]Wang L, Xue X, Wang Z, Zhang L. A unified assessment approach for urban infrastructure sustainability and resilience. Advances in Civil Engineering. 2018; 2018:1-20.

[30]Du Y, Wang H, Gao Q, Pan N, Zhao C, Liu C. Resilience concepts in integrated urban transport: a comprehensive review on multi-mode framework. Smart and resilient transportation. 2022; 4(2):105-33.

[31]Wang L, Xue X, Zhou X. A new approach for measuring the resilience of transport infrastructure networks. Complexity. 2020; 2020:1-6.

[32]Bruneau M, Reinhorn A. Overview of the resilience concept. In proceedings of the 8th US national conference on earthquake engineering 2006 (pp. 18-22).

[33]Rezvani SM, Falcão MJ, Komljenovic D, De ANM. A systematic literature review on urban resilience enabled with asset and disaster risk management approaches and GIS-based decision support tools. Applied Sciences. 2023; 13(4):1-41.

[34]Iannacone L, Sharma N, Tabandeh A, Gardoni P. Modeling time-varying reliability and resilience of deteriorating infrastructure. Reliability Engineering & System Safety. 2022; 217:108074.

[35]Bak O, Shaw S, Colicchia C, Kumar V. A systematic literature review of supply chain resilience in small–medium enterprises (SMEs): a call for further research. IEEE Transactions on Engineering Management. 2020; 70(1):328-41.

[36]Anwar A, Coviello N, Rouziou M. Weathering a crisis: a multi-level analysis of resilience in young ventures. Entrepreneurship Theory and Practice. 2023; 47(3):864-92.

[37]https://lib.ui.ac.id/file?file=pdf/abstrak/id_abstrak-20308417.pdf. Accessed 02 February 2024.

[38]Tamin OZ. Towards the creation of a sustainable transportation system in big cities in Indonesia. Transportation Journal. 2007; 7(2):87-104.

[39]Hot I, Manic N, Šerifi V. 3N-AHP model, the new multiactor multicritera for the selection of optimal corridors of the line infrastructure facilities. Procedia Technology. 2016; 22:365-72.

[40]Tripathi AK, Agrawal S, Gupta RD. Comparison of GIS-based AHP and fuzzy AHP methods for hospital site selection: a case study for Prayagraj City, India. GeoJournal. 2021:1-22.

[41]Colonna P, Fioretti G, Fonzone A, Sasso S. New approaches in road maintenance planning: the global road management system (GRMS). In 13th proceedings of the Mini-EURO conference and the 9th meeting of the EURO working group on transportation, Bari, Italy 2002 (pp. 752-6).

[42]Colonna P, D’amoja SI, Maizza M, Ranieri V. The quality of service in terms of road serviceability as a fundamental parameter for taking technical, economical and strategic choices that concern road network infrastructures. Proceedings of XXIIP 2003 (pp. 1-19).

[43]Colonna P, Fonzone A. New ways of viewing the relationship between transport and development. Pasquale Colonna, Achille Fonzone. 2003.

[44]Sirvio K, Izzatdust Z, Philogene-mckie R. Implementation of road asset management system in Saint Lucia. In 26th World Road Congress World Road Association (PIARC) 2019.

[45]Hendry M. Multi-application smart cards: technology and applications. Cambridge University Press; 2007.

[46]Colonna P, Fioretti G, Fonzone A, Sasso S. From pavement maintenance to territory enhancement: the Global Road Management System (GRMS). Safe Roads in the XXI. Century, Budapest, Hungary. 2002(pp.1-6).

[47]Wegman F, Berg HY, Cameron I, Thompson C, Siegrist S, Weijermars W. Evidence-based and data-driven road safety management. IATSS Research. 2015; 39(1):19-25.

[48]Du X, Zhang H, Han Y. How does new infrastructure investment affect economic growth quality? Empirical evidence from China. Sustainability. 2022; 14(6):1-30.

[49]Boccaletti S, Latora V, Moreno Y, Chavez M, Hwang DU. Complex networks: structure and dynamics. Physics Reports. 2006; 424(4-5):175-308.

[50]Berdica K. An introduction to road vulnerability: what has been done, is done and should be done. Transport Policy. 2002; 9(2):117-27.

[51]Candelieri A, Galuzzi BG, Giordani I, Archetti F. Vulnerability of public transportation networks against directed attacks and cascading failures. Public Transport. 2019; 11:27-49.

[52]De DOJ, Willumsen LG. Modelling transport. John Wiley & Sons; 2024.

[53]Soltani-sobh A, Heaslip K, Stevanovic A, El KJ, Song Z. Evaluation of transportation network reliability during unexpected events with multiple uncertainties. International Journal of Disaster Risk Reduction. 2016; 17:128-36.

[54]Xu X, Chen A, Jansuwan S, Heaslip K, Yang C. Modeling transportation network redundancy. Transportation Research Procedia. 2015; 9:283-302.

[55]Ministry of Public Works. Infrastructure development planning in the context of strategic area development. Strategy Development Regional Infrastructure Integration Plan, Human Resources Development Agency, Education and Training Center for Roads, Housing, Settlements and Regional Infrastructure Development, Bandung. 2017.

[56]Picardo A, Soltero VM, Peralta E. Life cycle assessment of sustainable road networks: current state and future directions. Buildings. 2023; 13(10):1-22.

[57]Polyzos S, Tsiotas D. The contribution of transport infrastructures to the economic and regional development. Theoretical and Empirical Researches in Urban Management. 2020; 15(1):5-23.

[58]Fankhauser S. Adaptation to climate change. Annual Review of Resource Economics. 2017; 9:209-30.

[59]Memon MA, Ting H, Cheah JH, Thurasamy R, Chuah F, Cham TH. Sample size for survey research: review and recommendations. Journal of Applied Structural Equation Modeling. 2020; 4(2):1-20.

[60]Taherdoost H. Validity and reliability of the research instrument; how to test the validation of a questionnaire/survey in a research. International Journal of Academic Research in Management. 2016; 5(3):28-36.

[61]Saaty TL. Decision making with the analytic hierarchy process. International Journal of Services Sciences. 2008; 1(1):83-98.

[62]Saaty TL, Sodenkamp M. The analytic hierarchy and analytic network measurement processes: the measurement of intangibles: decision making under benefits, opportunities, costs and risks. In handbook of multicriteria analysis 2010 (pp. 91-166). Berlin, Heidelberg: Springer Berlin Heidelberg.

[63]Tabucanon MT, Lee HM. Multiple criteria evaluation of transportation system improvement projects: the case of Korea. Journal of Advanced Transportation. 1995; 29(1):127-43.

[64]Moslem S, Saraji MK, Mardani A, Alkharabsheh A, Duleba S, Esztergár-kiss D. A systematic review of analytic hierarchy process applications to solve transportation problems: from 2003 to 2022. IEEE Access. 2023; 11:11973-90.

[65]Aliyev R, Temizkan H, Aliyev R. Fuzzy analytic hierarchy process-based multi-criteria decision making for universities ranking. Symmetry. 2020; 12(8):1-15.

[66]Yang Y, Gu J, Huang S, Wen M, Qin Y. Application of uncertain AHP method in analyzing travel time belief reliability in transportation network. Mathematics. 2022; 10(19):1-20.

[67]Maryono M. Modeling complexity of urban land use and transportation in Semarang city. 5th International Conference on Indonesian Architecture and Planning 2021 (pp. 1-6). IOP Publishing.