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A Socio-Ecological Approach to GIS Least-Cost Modelling for Regional Mining Infrastructure Planning: A Case Study from South-East Sulawesi, Indonesia

Author

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  • Alex M. Lechner

    (School of Environmental and Geographical Sciences, University of Nottingham Malaysia Campus, Semenyih 43500, Malaysia
    Centre for Social Responsibility in Mining, The University of Queensland, Brisbane 4072, Australia)

  • Bernadetta Devi

    (Centre for Social Responsibility in Mining, The University of Queensland, Brisbane 4072, Australia)

  • Ashlee Schleger

    (Centre for Social Responsibility in Mining, The University of Queensland, Brisbane 4072, Australia)

  • Greg Brown

    (School of Geography, Planning and Environmental Management, The University of Queensland, Brisbane 4072, Australia
    Natural Resources Management & Environmental Sciences Department, California Polytechnic State University, San Luis Obispo, CA 93407, USA)

  • Phill McKenna

    (Centre for Mined Land Rehabilitation, The University of Queensland, Brisbane 4072, Australia)

  • Saleem H. Ali

    (Centre for Social Responsibility in Mining, The University of Queensland, Brisbane 4072, Australia
    Department of Geography, University of Delaware, Newark, DE 19702, USA)

  • Shanty Rachmat

    (Research Group of City and Regional Infrastructure System, Institut Teknologi Bandung, Bandung 40132, Indonesia)

  • Muhammad Syukril

    (Bappeda Provinsi Sulawesi Tenggara, Kota Kendari 93873, Indonesia)

  • Paul Rogers

    (Centre for Social Responsibility in Mining, The University of Queensland, Brisbane 4072, Australia)

Abstract

Regional planning approaches to mining infrastructure aim to reduce the conflict associated with mining operations and existing land uses, such as urban areas and biodiversity conservation, as well as the cumulative impacts that occur offsite. In this paper, we describe a method for conducting Geographical Information System (GIS) least-cost path and least-cost corridor analysis for linear mining infrastructure, such as roads. Least-cost path analysis identifies the optimal pathways between two locations as a function of the cost of traveling through different land use/cover types. In a case study from South-East Sulawesi, Indonesia, we identify potential linear networks for road infrastructure connecting mines, smelters, and ports. The method used interview data from government officials to characterise their orientation (perceived importance and positive/negative attitude) toward the social and environmental factors associated with mining infrastructure. A cost-surface was constructed by integrating spatial layers representing the social and environmental factors to identify areas that should be avoided and areas that were compatible with linear infrastructure using the least-cost path analysis. We compared infrastructure scenario outputs from local and national government officials by the degree of spatial overlap and found broad spatial agreement for infrastructure corridors. We conclude by discussing this approach in relation to the wider social-ecological and mine planning literature and how quantitative approaches can reduce the conflict associated with infrastructure planning.

Suggested Citation

  • Alex M. Lechner & Bernadetta Devi & Ashlee Schleger & Greg Brown & Phill McKenna & Saleem H. Ali & Shanty Rachmat & Muhammad Syukril & Paul Rogers, 2017. "A Socio-Ecological Approach to GIS Least-Cost Modelling for Regional Mining Infrastructure Planning: A Case Study from South-East Sulawesi, Indonesia," Resources, MDPI, vol. 6(1), pages 1-14, January.
    • Handle: RePEc:gam:jresou:v:6:y:2017:i:1:p:7-:d:88705
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    References listed on IDEAS

    as
    1. Brown, Greg & Fagerholm, Nora, 2015. "Empirical PPGIS/PGIS mapping of ecosystem services: A review and evaluation," Ecosystem Services, Elsevier, vol. 13(C), pages 119-133.
    2. Polyakov, Maksym & Pannell, David J. & Pandit, Ram & Tapsuwan, Sorada & Park, Geoff, 2013. "Valuing Environmental Assets on Rural Lifestyle Properties," Agricultural and Resource Economics Review, Cambridge University Press, vol. 42(1), pages 159-175, April.
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    Cited by:

    1. Alex Mark Lechner & John Owen & Michelle Ang & Deanna Kemp, 2019. "Spatially Integrated Social Sciences with Qualitative GIS to Support Impact Assessment in Mining Communities," Resources, MDPI, vol. 8(1), pages 1-12, March.
    2. Yupeng Liu & Wei-Qiang Chen & Tao Lin & Lijie Gao, 2019. "How Spatial Analysis Can Help Enhance Material Stocks and Flows Analysis?," Resources, MDPI, vol. 8(1), pages 1-8, March.

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