A Proposal for the Location of Service Areas Adapted to the Transport of Dangerous Goods through an Optimization Model and its Application to the Spanish Territory

Authors

  • María Dolores Caro Vela Departamento de Economía, Métodos Cuantitativos e Historia Económica Universidad Pablo de Olavide, de Sevilla
  • Concepción Paralera Morales Departamento de Economía, Métodos Cuantitativos e Historia Económica Universidad Pablo de Olavide, de Sevilla

DOI:

https://doi.org/10.46661/revmetodoscuanteconempresa.2092

Keywords:

Modelo de localización de máxima cobertura, transporte de mercancías peligrosas, sistema de información geográfica, maximal covering location model, transport of dangerous goods, geographic information system.

Abstract

This paper analyzes the importance of having a network of stations adapted to vehicles carrying dangerous goods. In the first place, it is studied the current demand which is offered by the existing parking areas, and in the second place, it is explained a maximum coverage location model in order to study the location of areas that meet the drivers' demand of rest to a greater extent complying with legal and safety regulations. The model is applied into Spanish territory with the help of geographic information systems (GIS).

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References

Aertz, J.C.J.H. y Heuvelink, G.B.M. (2002). Using simulated annealing for resource allocation. International Journal of Geographical Information Science 16 (6), pp.571–587.

Alexandris, G y Giannikos, I. (2010). A new model for maximal coverage exploiting GIS capabilities. European Journal of Operational Research 202, pp.328–338.

Averbakh, I. y Berman, O. (1996). Locating flow-capturing units on a network with multicounting and diminishing returns to scale. European Journal of Operational Research 91, 3, pp.495–506.

Church, R. y ReVelle, C. (1974). The Maximal Covering Location Problem. Papers of the Regional Science Association 32, pp.101–118.

Current, J., Min, H. y Schiling, D. (1990). Multiobjective Analysis of Facility Location Decisions. European Journal of Operational Research 49, 3, pp.295–307.

Current, I. y O’Kelly, M. (1992). Locating emergency warning sirens. Decisions Sciences 23, pp.221–234.

ESRI (2008). What’s New in ArcGIS 9.3. ESRI, New York, USA, 2008.

EUROSTAT (2010). Data Base: http://www.eurostat.org. Consultado el 21 de octubre de 2010.

Goodchild, M.F. y Noronha, V.T. (1987). Location–Allocation and Impulsive Shopping the Case of Gasoline Retailing. Spatial Analysis and Location–Allocation Models. Van Nostrand Reinhold, New York, pp.121–136.

Gorys, J. (1990). Transportation of Dangerous Goods in the Province of Ontario. Transportation Research Record 1264. Transportation Research Board, National Research Council, Washington.

IRU (2009). Truck Parking Areas. International Road Union. Recurso web disponible en: http://www.internationaltransportforum.org/Pub/pdf/09parking.pdf

Li, X. y Yeh, A.G. (2005). Integration of genetic algorithms and GIS for optimal location search. International Journal of Geographical Information Science 19, 5, pp.581–601.

Lin, Z., Ogden, J., Fan, Y. y Chen, C.W. (2008). The fuel-travel-back approach to Hydrogen station siting. International Journal of Hydrogen Energy 33, 12, pp.3096–3101.

Liu, N., Huang, B. y Chandramouli, M. (2006). Optimal siting of fire stations using GIS and antalgorithm. Journal of Computing in Civil Engineering 20, 5, pp.361–369.

Ministerio de Fomento (2006). Coordinación del Transporte de Mercancías Peligrosas. Estacionamientos para vehículos de mercancías peligrosas: http://www.fomento.es/MFOM/LANG_CASTELLANO/DIRECCIONES_GENERALES/ORGANOS_COLEGIADOS/CCTMP/ListadoEstudio.htm. Consultado el 21 de octubre de 2010.

Ministerio de Fomento. D.G. Carreteras (2009). Mapa de Tráfico 2008.

Mirchandani, P.B. y Francis, R.L. Eds. (1990). Discrete Location Theory. Wiley, Chichester.

Murray, A. (2005). Geography in coverage modeling: Exploiting spatial structure to address complementary partial service areas. Annals of the Association of American Geographers 95/4, pp.761–772.

Murray, A.T. y Tong, D. (2007). Coverage optimization in continuous space facility siting. International Journal of Geographical Information Science 21, 7, pp.757–776.

Murray, A.T., Tong, D. y Kim, K. (2010). Enhancing Classic Coverage Location Models. International Regional Science Review 33, 2, pp.115–133.

Owen, S.H. y Daskin, M.S. (1998). Strategic Facility Location: A Review. European Journal of Operational Research 111, pp.423–447.

RACC (2010). Proyecto LABEL: European Truck Parking Areas. http://w3.racc.es/index.php?mod=fundacion&mem=EPTodos&relmenu=31. Consultado el 21 de septiembre de 2010.

Reglamento (CE) nº 561/2006 del Parlamento Europeo y del Consejo de 15 de marzo de 2006 relativo a la armonización de determinadas disposiciones en materia social en el sector de los transportes por carretera.

Resolución de 25 de enero de 2010, de la Dirección General de Tráfico, por la que se establecen medidas especiales de regulación del tráfico durante el año 2010. BOE número 40 de 15/02/2010, p.13.538.

ReVelle, C.S. y Eiselt, H.A. (2004). Location Analysis: A Synthesis and Survey. European Journal of Operational Research 165, pp.1–19.

ReVelle, C.S., Eiselt, H.A. y Daskin, M.S. (2007). A bibliography for some fundamental problem categories in discrete location science. European Journal of Operational Research 184, pp.817–848.

UNECE (2008). European agreement concerning the international carriage of dangerous goods by road (ADR). United Nations Economics Commission for Europe (aplicable desde el 1 de enero de 2009).

Yeh, A.G. y Cow, M.H. (1996). An integrated GIS and location-allocation approach to public facilities planning. An example of open space planning. Computers, Environment and Urban Systems 20 (4/5), pp.339–350.

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Published

2016-11-04

How to Cite

Caro Vela, M. D., & Paralera Morales, C. (2016). A Proposal for the Location of Service Areas Adapted to the Transport of Dangerous Goods through an Optimization Model and its Application to the Spanish Territory. Journal of Quantitative Methods for Economics and Business Administration, 11, Páginas 17 a 32. https://doi.org/10.46661/revmetodoscuanteconempresa.2092

Issue

Vol. 11 (2011)

Section

Articles

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