Selecting Inter-city Transportation Routes in Complex Terrains Using Quantitative Methods – A Case Study from Northern Yunnan, China
A variety of factors are involved in inter-city transportation route selection in the areas of complex terrain. With the help of Geographic Information System (GIS), three quantitative methods were employed to determine the transport routes between 44 cities in Northern Yunnan (China), an area with alpine valleys, Karst mountains, and plateau basins. The network analysis in GIS was used to find the routes based on the Transport Suitability Evaluation (TSE) map, which was produced from several factors, including population density, terrain slope, vertical terrain dissection, landslide and mud-flock area, land cover types, and Normalized Difference Vegetation Index (NDVI). Analytic Hierarchy Process (AHP), Grey Relational Analysis (GRA), and Delphi analysis were used to collect and calculate suitability values of these factors. Finally, all the routes connecting 44 cities of Northern Yunnan formed a network which could provide reference for route selection planning in the area.
Palanikumar K, Latha B, Senthilkumar V, Davim J. Analysis on drilling of glass fiber-reinforced polymer (GFRP) composites using grey relational analysis. Materials and Manufacturing Processes. 2012;27: 297-305.
Ar I, Hamzacebi C, Baki B. Business school ranking with grey relational analysis: the case of Turkey. Grey Systems. 2013;3(1): 76-94.
Hamzacebi C, Pekkaya M. Determing of stock investments with grey relational analysis. Expert Systems with Applications. 2011;38: 9186-9195.
Camelia D, Emil S, Cotfas L. Grey relational analysis of the financial sector in Europe. The Journal of Grey System. 2013;25(4): 19-30.
Kuo Y, Yang T, Huang G. The use of grey relational analysis in solving multiple attribute decision-making problems. Computers & Industrial Engineering. 2008;55: 80-93.
Shahabi H, Keihanfard S. Evaluating Boolean, AHP and WLC methods for the selection of waste landfill sites using GIS and satellite images. Environment Earth Science. 2014;71: 4221-4233.
Wu J, Chen J, Ren Y. GIS enabled service site selection: Environmental analysis and beyond. Information System Front. 2011;13: 337-348.
Uyan M. GIS-based solar farms site selection using analytic hierarchy process (AHP) in Karapinar region, Konya/Turkey. Renewable and Sustainable Energe Reviews. 2013;28: 11-17.
Islam R, Saaty T. The analytic hierarchy process in the transportation sector. Proceedings of the 19th international conference on multiple criteria decision making, 7-12 January 2008, Auckland, New Zealand; 2008. p. 79-91.
Zoran D, Saša M, Dragi P. Application of the AHP method for selection of a transportation system in mine planning. Underground Mining Engineering. 2011;19: 93-99.
Baric D, Starcevic M. Implementation of analytic hierarchy process in solving transport problems. International Journal of the Analytic Hierarchy Process. 2015;07:
Hamurcu M, Eren T. Transportation planning with analytic hierarchy process and goal programming. International Advanced Researches and Engineering Journal. 2018;02: 092-097.
Xie K, Deng K, Shang S, Zhou X, Zheng K. Finding alternative shortest paths in spatial networks. ACM Transactions on Database System. 2012;37(4): 1-30.
Peng M, Xiong N, Park J, Vasilakos A, Zhang J. The weighted shortest path search based on multi-agents in mobile GIS management services. Wireless Communications and Mobile Computing. 2012;12: 302-317.
Han J, Zhao Y, Dai K. The approach for shortest paths in fire succor based on component GIS technology. In: Gong P, Liu Y. (eds.) Geoinformatics 2007: Geospatial Information Technology and Applications, Proc. of SPIE, Vol. 6754; 2007. Article ID 67543M.
Xia J, Yang S, Wang Y, Zhao X. Study on landscape pattern feature and its change in North Yunan (Yunnan part). Research of Soil and Water Conservation. 2008;15(4): 152-156.
Xia J, Yang S, Wang Y, Zeng H. Study on spatial distribution of ecological potential based on GIS in North Yunan (Yunnan part). Resources and Environment in the Yangtze Basin. 2009;18(9): 865-870.
Xia J, Yang S, Wang Y, Liu C. Distribution patterns of vegetation index based on ArcGIS in the middle sect of North Yunan. Bulletin of Science and Technology. 2010;26(3): 325-330.
Mao R, Meng G, Zhou Y. Study on prevention and control of soil and water loss in Jinsha River Basin of Yunnan province. Research of Soil and Water Conservation. 2006;13(1): 184-185.
Hu Y. Neighborhood-based collaborative filtering using grey relational analysis. The Journal of Grey System. 2014;26(1): 99-115.
Wei G. GRA method for multiple attribute decision making with incomplete weight information in intuitionistic fuzzy setting. Knowledge-Based Systems. 2010;23(3): 243-247.
Musa H, Yacob M, Abdullah A, Ishak M. Delphi method of developing environmental well-being indicators for the evaluation of urban sustainability in Malaysia. Procedia Environmental Sciences. 2015;30: 244-249.
Coleman S, Hurley S, Koliba C, Zia A. Crowdsourced Delphis: Designing solutions to complex environmental problems with broad stakeholder participation. Global Environmental Change. 2017;45: 111-123.
Di Zio S, Castillo Rosas J, Lamelza L. Real time spatial Delphi: fast convergence of experts' opinions on the territory. Technological Forecasting & Social Change. 2017;115: 143-154.
Krigsholm P, Zavialova S, Riekkinen K, Ståhle P, Viitanen K. Understanding the future of the Finnish cadastral system – A Delphi study. Land Use Policy. 2017;68: 133-140.
Saaty T. Decision making with the analytic hierarchy process. Int J Serv Sci. 2008;1(1): 83-98.
Atkinson D, Deadman P, Dudycha D, Traynor S. Multi-criteria evaluation and least cost path analysis for an arctic all-weather road. Applied Geography. 2005;25: 287-307.
Choi Y, Park H, Sunwoo C, Clarke K. Multi-criteria evaluation and least-cost path analysis for optimal haulage routing of dump trucks in large scale open-pit mines. International Journal of Geographical Information Science. 2009;23: 1541-1567.
Choi Y, Nieto A. Optimal haulage routing of off-road dump trucks in construction and mining sites using Google Earth and a modified least-cost path algorithm. Automation in Construction. 2011;20: 982-997.
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