IDEAS home Printed from https://ideas.repec.org/a/pab/rmcpee/v11y2011i1p17-32.html
   My bibliography  Save this article

Una propuesta para la localización de áreas de servicio y descanso adaptadas al transporte de mercancías peligrosas mediante un modelo de optimización; aplicación al territorio español = 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

Author

Listed:
  • Caro Vela, María Dolores

    (Departamento de Economía, Métodos Cuantitativos e Historia Económica, Universidad Pablo de Olavide, de Sevilla (España))

  • Paralera Morales, Concepción

    (Departamento de Economía, Métodos Cuantitativos e Historia Económica, Universidad Pablo de Olavide, de Sevilla (España))

Abstract

El presente trabajo analiza la importancia de contar con una red de estacionamientos adaptados a los vehículos que transportan mercancías peligrosas. Se estudia en primer lugar la cobertura actual de la demanda que ofrecen los estacionamientos existentes y se plantea en segundo lugar un modelo de localización de máxima cobertura para estudiar la ubicación de áreas que permitan una mayor satisfacción de la demanda de descanso de los conductores cumpliendo con la normativa legal y de seguridad. El modelo se aplica en el territorio español con la ayuda de sistemas de información geográfica (SIG). 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).

Suggested Citation

  • Caro Vela, María Dolores & Paralera Morales, Concepción, 2011. "Una propuesta para la localización de áreas de servicio y descanso adaptadas al transporte de mercancías peligrosas mediante un modelo de optimización; aplicación al territorio español = A Proposal fo," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 11(1), pages 17-32, June.
    • Handle: RePEc:pab:rmcpee:v:11:y:2011:i:1:p:17-32
    as

    Download full text from publisher

    File URL: http://www.upo.es/RevMetCuant/pdf/vol11/art46.pdf
    Download Restriction: no
    File URL: http://www.upo.es/RevMetCuant/bibtex.php?id=46
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Owen, Susan Hesse & Daskin, Mark S., 1998. "Strategic facility location: A review," European Journal of Operational Research, Elsevier, vol. 111(3), pages 423-447, December.
    2. Current, John & Min, Hokey & Schilling, David, 1990. "Multiobjective analysis of facility location decisions," European Journal of Operational Research, Elsevier, vol. 49(3), pages 295-307, December.
    3. Alan T. Murray & Daoqin Tong & Kamyoung Kim, 2010. "Enhancing Classic Coverage Location Models," International Regional Science Review, , vol. 33(2), pages 115-133, April.
    4. Averbakh, Igor & Berman, Oded, 1996. "Locating flow-capturing units on a network with multi-counting and diminishing returns to scale," European Journal of Operational Research, Elsevier, vol. 91(3), pages 495-506, June.
    5. Alexandris, George & Giannikos, Ioannis, 2010. "A new model for maximal coverage exploiting GIS capabilities," European Journal of Operational Research, Elsevier, vol. 202(2), pages 328-338, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Murray, Alan T. & Wei, Ran, 2013. "A computational approach for eliminating error in the solution of the location set covering problem," European Journal of Operational Research, Elsevier, vol. 224(1), pages 52-64.
    2. Alan T. Murray, 2016. "Maximal Coverage Location Problem," International Regional Science Review, , vol. 39(1), pages 5-27, January.
    3. Yang, Zhongzhen & Yu, Shunan & Notteboom, Theo, 2016. "Airport location in multiple airport regions (MARs): The role of land and airside accessibility," Journal of Transport Geography, Elsevier, vol. 52(C), pages 98-110.
    4. Varsei, Mohsen & Polyakovskiy, Sergey, 2017. "Sustainable supply chain network design: A case of the wine industry in Australia," Omega, Elsevier, vol. 66(PB), pages 236-247.
    5. Karatas, Mumtaz, 2017. "A multi-objective facility location problem in the presence of variable gradual coverage performance and cooperative cover," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1040-1051.
    6. David Kik & Matthias Gerhard Wichmann & Thomas Stefan Spengler, 2022. "Decision support framework for the regional facility location and development planning problem," Journal of Business Economics, Springer, vol. 92(1), pages 115-157, January.
    7. Xifeng Tang & Jiantao Wu & Rui Li, 2020. "Efficient Allocation of Customers to Facilities in the Multi-Objective Sustainable Location Problem," Sustainability, MDPI, vol. 12(18), pages 1-12, September.
    8. Xu, Jianhua & Johnson, Michael P. & Fischbeck, Paul S. & Small, Mitchell J. & VanBriesen, Jeanne M., 2010. "Robust placement of sensors in dynamic water distribution systems," European Journal of Operational Research, Elsevier, vol. 202(3), pages 707-716, May.
    9. Hammad, Ahmed W A & Akbarnezhad, Ali & Rey, David, 2017. "Sustainable urban facility location: Minimising noise pollution and network congestion," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 107(C), pages 38-59.
    10. Sam Ratick & Jeffrey Osleeb & Kangping Si, 2016. "The Maximal Cover Location Model with Hedging," International Regional Science Review, , vol. 39(1), pages 77-107, January.
    11. Murray, Alan T. & Feng, Xin, 2016. "Public street lighting service standard assessment and achievement," Socio-Economic Planning Sciences, Elsevier, vol. 53(C), pages 14-22.
    12. Ramos Manoel João & Feiden Aldi & Sousa Fragoso Rui Manuel de, 2019. "A Multi-objective Approach for Supply Chain Network Design: Tilapia Pisciculture in Paraná State - Brazil," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 17(1), pages 1-14, May.
    13. Klose, Andreas & Drexl, Andreas, 2005. "Facility location models for distribution system design," European Journal of Operational Research, Elsevier, vol. 162(1), pages 4-29, April.
    14. Jesús Sánchez-Oro & Ana D. López-Sánchez & Anna Martínez-Gavara & Alfredo G. Hernández-Díaz & Abraham Duarte, 2021. "A Hybrid Strategic Oscillation with Path Relinking Algorithm for the Multiobjective k -Balanced Center Location Problem," Mathematics, MDPI, vol. 9(8), pages 1-21, April.
    15. Park, Junseok & Moon, Ilkyeong, 2023. "A facility location problem in a mixed duopoly on networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    16. Shishebori, Davood & Yousefi Babadi, Abolghasem, 2015. "Robust and reliable medical services network design under uncertain environment and system disruptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 77(C), pages 268-288.
    17. Ran Wei & Alan Murray & Rajan Batta, 2014. "A bounding-based solution approach for the continuous arc covering problem," Journal of Geographical Systems, Springer, vol. 16(2), pages 161-182, April.
    18. Marković, Nikola & Ryzhov, Ilya O. & Schonfeld, Paul, 2017. "Evasive flow capture: A multi-period stochastic facility location problem with independent demand," European Journal of Operational Research, Elsevier, vol. 257(2), pages 687-703.
    19. Alfandari, Laurent, 2004. "Choice Rules with Size Constraints for Multiple Criteria Decision Making," ESSEC Working Papers DR 04002, ESSEC Research Center, ESSEC Business School.
    20. Sarhadi, Hassan & Naoum-Sawaya, Joe & Verma, Manish, 2020. "A robust optimization approach to locating and stockpiling marine oil-spill response facilities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).

    More about this item

    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;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pab:rmcpee:v:11:y:2011:i:1:p:17-32. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Publicación Digital - UPO (email available below). General contact details of provider: https://edirc.repec.org/data/dmupoes.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.