IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i13p5767-d1430170.html
   My bibliography  Save this article

Land Suitability Analysis for Residential Development in an Ecologically Sensitive Area: A Case Study of Nusantara, the New Indonesian Capital

Author

Listed:
  • Dody Arfiansyah

    (School of Built Environment, University of New South Wales, Sydney, NSW 2052, Australia)

  • Hoon Han

    (School of Built Environment, University of New South Wales, Sydney, NSW 2052, Australia)

  • Sisi Zlatanova

    (School of Built Environment, University of New South Wales, Sydney, NSW 2052, Australia)

Abstract

Land suitability analysis is a process of evaluating various criteria to assess the appropriateness of land for specific purposes, such as agriculture, urban development, conservation, or infrastructure projects. This paper integrates multi-criteria analysis (MCA) and geographic information systems (GIS) to assess potential residential development suitability in Nusantara—the new Indonesian Capital. This study used two models to evaluate residential development suitability—a simple suitability model with equal criteria weight and a weighted suitability model using the analytic hierarchy process (AHP) approach with two scenarios (waterfront city and biodiversity-positive city). Various criteria, including physical attributes, natural preservation and protection, blue amenities, transport accessibility, and natural disaster risks, were analysed. Integrating MCA with the AHP approach and GIS can be considered an advanced methodology. The simple suitability model is relatively more straightforward than the weighted suitability model since it does not require a weighting process. However, the weighted suitability model produced more nuanced results for the case study as the approach more accurately models real-world conditions. The weighted suitability analysis showed that most of the western and eastern parts of the new capital are highly suitable for future residential development. Comparing the Indonesian government’s planned residential areas with the result of the weighted suitability model for the biodiversity-positive city scenario showed that most planned residential areas are in highly suitable areas. The methodologies in the paper can be extended to similar contexts in different geographical areas.

Suggested Citation

  • Dody Arfiansyah & Hoon Han & Sisi Zlatanova, 2024. "Land Suitability Analysis for Residential Development in an Ecologically Sensitive Area: A Case Study of Nusantara, the New Indonesian Capital," Sustainability, MDPI, vol. 16(13), pages 1-34, July.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:13:p:5767-:d:1430170
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/13/5767/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/13/5767/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Vlachopoulou, Maro & Silleos, George & Manthou, Vassiliki, 2001. "Geographic information systems in warehouse site selection decisions," International Journal of Production Economics, Elsevier, vol. 71(1-3), pages 205-212, May.
    2. Cisneros, J.M. & Grau, J.B. & Antón, J.M. & de Prada, J.D. & Cantero, A. & Degioanni, A.J., 2011. "Assessing multi-criteria approaches with environmental, economic and social attributes, weights and procedures: A case study in the Pampas, Argentina," Agricultural Water Management, Elsevier, vol. 98(10), pages 1545-1556, August.
    3. Amal Al-Ghorayeb & Walid Al-Shaar & Adel Elkordi & Ghaleb Faour & Mohamad Al-Shaar & Youssef Attalah, 2023. "Land Suitability Analysis for Sustainable Urban Development: A Case of Nabatiyeh Region in Lebanon," J, MDPI, vol. 6(2), pages 1-19, May.
    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. Sebastjan ŠKERLIČ & Robert MUHA, 2016. "Identifying Warehouse Location Using Hierarchical Clustering," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 11(3), pages 121-129, September.
    2. Kose, Erkan & Erbas, Mehmet & Ersen, Erkan, 2017. "An integrated approach based on game theory and geographical information systems to solve decision problems," Applied Mathematics and Computation, Elsevier, vol. 308(C), pages 105-114.
    3. Tran, Dung Duc & van Halsema, Gerardo & Hellegers, Petra J.G.J. & Ludwig, Fulco & Seijger, Chris, 2018. "Stakeholders’ assessment of dike-protected and flood-based alternatives from a sustainable livelihood perspective in An Giang Province, Mekong Delta, Vietnam," Agricultural Water Management, Elsevier, vol. 206(C), pages 187-199.
    4. Xu, Jiuping & Song, Xiaoling & Wu, Yimin & Zeng, Ziqiang, 2015. "GIS-modelling based coal-fired power plant site identification and selection," Applied Energy, Elsevier, vol. 159(C), pages 520-539.
    5. Roy, Sandeepan & Maji, Avijit, 2019. "Optimization of High-Speed Railway Station Location Selection Based on Accessibility and Environmental Impact," ADBI Working Papers 953, Asian Development Bank Institute.
    6. Mohammad Ehsanifar & David A. Wood & Arezoo Babaie, 2021. "UTASTAR method and its application in multi-criteria warehouse location selection," Operations Management Research, Springer, vol. 14(1), pages 202-215, June.
    7. Shairy Chaudhary & Atul Kumar & Malay Pramanik & Mahabir Singh Negi, 2022. "Land evaluation and sustainable development of ecotourism in the Garhwal Himalayan region using geospatial technology and analytical hierarchy process," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 2225-2266, February.
    8. Alessio Ishizaka & Philippe Nemery, 2013. "A Multi-Criteria Group Decision Framework for Partner Grouping When Sharing Facilities," Group Decision and Negotiation, Springer, vol. 22(4), pages 773-799, July.
    9. Ali Akbar Jamali & Ramin Tabatabaee & Timothy O. Randhir, 2021. "Ecotourism and socioeconomic strategies for Khansar River watershed of Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 17077-17093, November.
    10. Naai-Jung Shih & Yu-Chen Wu, 2023. "Hydrogeography-Based Fabric Assessment of Heritage Warehouses," Sustainability, MDPI, vol. 15(2), pages 1-26, January.
    11. Ben Brahim-Neji, Hella & Ruiz-Villaverde, Alberto & González-Gómez, Francisco, 2014. "Decision aid supports for evaluating agricultural water reuse practices in Tunisia: The Cebala perimeter," Agricultural Water Management, Elsevier, vol. 143(C), pages 113-121.
    12. Cabrini, Silvina M. & Calcaterra, Carlos P., 2016. "Modeling economic-environmental decision making for agricultural land use in Argentinean Pampas," Agricultural Systems, Elsevier, vol. 143(C), pages 183-194.
    13. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Khalifah, Zainab & Zakuan, Norhayati & Jusoh, Ahmad & Nor, Khalil Md & Khoshnoudi, Masoumeh, 2017. "A review of multi-criteria decision-making applications to solve energy management problems: Two decades from 1995 to 2015," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 216-256.
    14. Edward Kasem & Oldřich Trenz & Jiří Hřebíček & Oldřich Faldík, 2015. "Key Sustainability Performance Indicator Analysis for Czech Breweries," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 63(6), pages 1937-1944.
    15. Punys, P. & Radzevičius, A. & Kvaraciejus, A. & Gasiūnas, V. & Šilinis, L., 2019. "A multi-criteria analysis for siting surface-flow constructed wetlands in tile-drained agricultural catchments: The case of Lithuania," Agricultural Water Management, Elsevier, vol. 213(C), pages 1036-1046.
    16. Arnette, Andrew N. & Zobel, Christopher W., 2011. "Spatial analysis of renewable energy potential in the greater southern Appalachian mountains," Renewable Energy, Elsevier, vol. 36(11), pages 2785-2798.
    17. Lin, C.K.Y., 2009. "Stochastic single-source capacitated facility location model with service level requirements," International Journal of Production Economics, Elsevier, vol. 117(2), pages 439-451, February.
    18. Kumar, Amit & Kumar, Ranjit & Rao, K.H., 2012. "Enabling Efficient Supply Chain in Dairying Using GIS: A Case of Private Dairy Industry in Andhra Pradesh State," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 67(3), pages 1-10.
    19. Jaller, Miguel & Pineda, Leticia, 2017. "Warehousing and Distribution Center Facilities in Southern California: The Use of the Commodity Flow Survey Data to Identify Logistics Sprawl and Freight Generation Patterns," Institute of Transportation Studies, Working Paper Series qt5dz0j1gg, Institute of Transportation Studies, UC Davis.
    20. Ali Azarnivand & Mohammad Ebrahim Banihabib, 2017. "A Multi-level Strategic Group Decision Making for Understanding and Analysis of Sustainable Watershed Planning in Response to Environmental Perplexities," Group Decision and Negotiation, Springer, vol. 26(3), pages 629-648, May.

    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:gam:jsusta:v:16:y:2024:i:13:p:5767-:d:1430170. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.