Multiple-criteria analysis model to the location of dry ports in urban areas: a case study in Garuva City, Santa Catarina State
Palabras clave:
dry port, urban environment, spatial multicriteria analysis, sustainable developmentResumen
This article studied the location of dry ports from the perspective of reducing impacts caused by seaport activities on the urban environment. The main objective was to construct a model based on multiple-criteria decision analysis coupled with the geographical information system for selecting areas subject to the location of dry ports. An important point was the definition of restriction and factor criteria for the preparation of this model. The distance from the seaport was defined as the most relevant criterion, followed by the road hierarchy network, population density, vegetation, and declivity, respectively. The predominant restrictive criteria were: permanent conservation areas and non-building zones. For the validation of the model presented, it was necessary to perform a case study on a city located near a seaport, and that has been legalized seaport activities in its legislation. The result showed that the areas nearest to the port, with less density of household units, and located near main roadways are the most feasible for location of dry ports. It was proven that the usage of multi-criteria analysis for selecting areas subject to the location of dry ports can be a manner for added support in the preparation of master plans for cities surrounded by seaport areas.
Descargas
Citas
Abbasi, M., & Pishvaee, M. (2018). A two-stage GIS-based optimization model for the dry port location problem: a case study of Iran. Journal of Industrial and Systems Engineering, 11(1), 50-73.
Agência Nacional de Transportes Aquaviários – ANTAQ. (2016). Estatísticas. Retrieved in 2018, September 12, from http://web.antaq.gov.br/Portal/PDF/Anuarios/ApresentacaoAnuario2016.pdf
Aragonés-Beltrán, P., Aznar, J., Ferrís-Oñate, J., & García-Melón, M. (2008). Valuation of urban industrial land: an analytic network process approach. European Journal of Operational Research, 185(1), 322-339. http://dx.doi.org/10.1016/j.ejor.2006.09.076.
Awad-Núñez, S., González-Cancelas, N., Soler-Flores, F., & Camarero-Orive, A. (2016). A methodology for measuring sustainability of dry ports location based on Bayesian Networks and Multi-Criteria Decision Analysis. Transportation Research Procedia, 13, 124-133. http://dx.doi.org/10.1016/j.trpro.2016.05.013.
Bencure, J., Tripathi, N., Miyazaki, H., Ninsawat, S., & Kim, S. (2019). Development of an Innovative Land Valuation Model (iLVM) for mass appraisal application in sub-urban areas using AHP: an integration of theoretical and practical approaches. Sustainability, 11(13), 3731. http://dx.doi.org/10.3390/su11133731.
Brasil. (1965, 15 de setembro). Lei nº 4.771, de 15 de setembro de 1965. Brasília: Diário Oficial da União. Retrieved in 2019, February 11, from www.mma.gov.br/port/conama/processos/E72A2846/DispositivosLegaisAPP.pdf
Brasil. (2006, 22 de dezembro). Lei nº 11.428, de 22 de dezembro de 2006. Brasília: Diário Oficial da União. Retrieved in 2018, October 9, from www.planalto.gov.br/ccivil_03/_ato2004-2006/2006/lei/l11428.htm
Bulleri, F., & Chapman, M. G. (2010). The introduction of coastal infrastructure as a driver of change in marine environments. Journal of Applied Ecology, 47(1), 26-35. http://dx.doi.org/10.1111/j.1365-2664.2009.01751.x.
Cullinane, K., & Wang, T. F. (2006). Chapter 23 Data Envelopment Analysis (DEA) and improving container port efficiency. Research in Transportation Economics, 17, 517-566. http://dx.doi.org/10.1016/S0739-8859(06)17023-7.
Chang, Z., Notteboom, T., & Lu, J. (2015). A two-phase model for dry port location with an application to the port of Dalian in China. Transportation Planning and Technology, 38(4), 442-464. http://dx.doi.org/10.1080/03081060.2015.1026103.
Dhiman, R., Kalbar, P., & Inamdar, A. B. (2018). GIS coupled multiple criteria based decision support for classification of urban coastal areas in India. Habitat International, 71, 125-134. http://dx.doi.org/10.1016/j.habitatint.2017.12.002.
Felix, R. R. O. M., Alves, V., & Lima, J. P. (2019). Gestão do uso do solo no entorno do Rio Sapucaí em Itajubá (MG). urbe. Urbe. Revista Brasileira de Gestão Urbana, 11, e20170180. http://dx.doi.org/10.1590/2175-3369.011.001.ao02.
Gogas, M., Papoutsis, K., & Nathanail, E. (2014). Optimization of decision-making in port logistics terminals: using analytic hierarchy process for the case of port of Thessaloniki. Transport and Telecommunication Journal, 15(4), 255-268. http://dx.doi.org/10.2478/ttj-2014-0022.
Gumusay, M. U., Gokalp, K., & Tolga, B. (2016). An assessment of site suitability for marina construction in Istanbul, Turkey, using GIS and AHP multicriteria decision analysis. Environmental Monitoring and Assessment, 188(12), 677.
http://dx.doi.org/10.1007/s10661-016-5677-5. PMid:27858260.
Jannet, C. B., Nitin, K. T., Hiroyuki, M., Sarawut, N., & Sohee, M. (2019). Development of an Innovative Land Valuation Model (iLVM) for mass appraisal application in sub-urban areas using AHP: an integration of theoretical and practical approaches. Sustainability, 13(11), 1-17. http://dx.doi.org/10.3390/su11133731.
Kaim, A., Cord, A., & Volk, M. (2018). A review of multi-criteria optimization techniques for agricultural land use allocation. Environmental Modelling & Software, 105, 79-93. http://dx.doi.org/10.1016/j.envsoft.2018.03.031.
Kaiser, E., Godschalk, D., & Chapin, S. (1995). Urban land use planning (4th ed.). Chicago: University of Illinois Press.
Lima, J. P., & Machado, M. H. (2019). Walking accessibility for individuals with reduced mobility: a Brazilian case study. Case Studies on Transport Policy, 7(2), 269-279. http://dx.doi.org/10.1016/j.cstp.2019.02.007.
Lima, J. P., Abitante, J. C., Pons, N. A. D., & Senne, C. M. (2019). A spatial fuzzy multicriteria analysis of accessibility: a case study in Brazil. Sustainability, 11(12), 3407. http://dx.doi.org/10.3390/su11123407.
Lyu, H., Shen, S., & Arulrajah, A. (2018). Assessment of geohazards and preventative countermeasures using AHP incorporated with GIS in Lanzhou, China. Sustainability, 10(2), 304. http://dx.doi.org/10.3390/su10020304.
Malczewski, J. (2004). GIS-based land-use suitability analysis: a critical overview. Progress in Planning, 62(1), 3-65. http://dx.doi.org/10.1016/j.progress.2003.09.002.
Mardani, A., Jusoh, A., & Zavadskas, E. (2015). Fuzzy multiple criteria decision-making techniques and applications: two decades review from 1994 to 2014. Expert Systems with Applications, 42(8), 4126-4148. http://dx.doi.org/10.1016/j.eswa.2015.01.003.
Muravev, D., Hu, H., Zhou, H., & Pamucar, D. (2020). Location optimization of CR express international logistics centers. Symmetry, 12(1), 143. http://dx.doi.org/10.3390/sym12010143.
Muravev, D., Rakhmangulov, A., Hu, H., & Zhou, H. (2019). The introduction to System dynamics approach to operational efficiency and sustainability of dry port’s main parameters. Sustainability, 11(8), 2413. http://dx.doi.org/10.3390/su11082413.
Nguyen, L., & Notteboom, T. A. (2016). Multi-criteria approach to dry port location in developing economies with application to Vietnam. The Asian Journal of Shipping and Logistics, 32(1), 23-32. http://dx.doi.org/10.1016/j.ajsl.2016.03.003.
Notteboom, T. (2011). An application of multi-criteria analysis to the location of a container hub port in South Africa. Maritime Policy & Management, 38(1), 51-79. http://dx.doi.org/10.1080/03088839.2010.533710.
Novaes, A. G., & Vieira, H. F. D. (1996). O nível de serviço logístico portuário sob a ótica dos exportadores. Revista Gestão e Produção, 3(3), 290-301. http://dx.doi.org/10.1590/S0104-530X1996000300005.
Parry, J. A., Ganaie, S. A., & Sultan Bhat, M. (2018). GIS based land suitability analysis using AHP model for urban services planning in Srinagar and Jammu urban centers of J&K. India. Journal of Urban Management, 7(2), 46-56. http://dx.doi.org/10.1016/j.jum.2018.05.002.
Ramalho, A., & Beek, K. L. (1995). Sistema de avaliação da aptidão agrícola das terras (3. ed.). Rio de Janeiro: EMBRAPA-CNPS.
Roso, V. (2007). Evaluation of the dry port concept from an environmental perspective: a note. Transportation Research Part D, Transport and Environment, 12(7), 523-527. http://dx.doi.org/10.1016/j.trd.2007.07.001.
Roso, V., Woxenius, J., & Lumsden, K. (2009). The dry port concept: connecting container seaports with the hinterland. Journal of Transport Geography, 17(5), 338-345. http://dx.doi.org/10.1016/j.jtrangeo.2008.10.008.
Saad, S. M., & Bahadori, R. (2019). Development of a Dynamic Information Fractal Framework to Monitor and Optimise Sustainability in Food Distribution Network. International Journal of Food Engineering, 16(5-6), 20180061. http://dx.doi.org/10.1515/ijfe-2018-0061.
Saaty, T. L. (1980). The analytic hierarchy process. New York: McGraw Hill.
Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83-98. http://dx.doi.org/10.1504/IJSSCI.2008.017590.
Souza, M. L., & Rodrigues, G. B. (2004). Planejamento urbano e ativismos sociais. São Paulo: Unesp.
Tobias, M. S. G., Ramos Rui, A. R., & Rodrigues, D. S. (2013). Spatial Analysis of accessibility to support decision-making in urban investments: a case in Amazonia-Brazil. In Proceedings of the 13th World Conference Transport Research (WCTR) (pp. 1-10). Leeds: WCTR Society.
Wang, C., & Wei, J. (2008). Research on the dry port location of Tianjin port based on analytic network process. In Proceedings of the 2008 International Seminar on Business and Information Management (pp. 75-78). Piscataway: IEEE. http://dx.doi.org/10.1109/ISBIM.2008.74.
Zhu, B., Zhu, X., Zhang, R., & Zhao, X. (2019). Study of multiple land use planning based on the coordinated development of wetland farmland: a case study of Fuyuan City, China. Sustainability, 11(1), 271. http://dx.doi.org/10.3390/su11010271.
