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A framework for selecting a fit-for-purpose data collection method in land administration

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  • Rahmatizadeh, Shima
  • Rajabifard, Abbas
  • Kalantari, Mohsen
  • Ho, Serene

Abstract

The majority of the world’s population do not have access to proper land administration systems to register their land and property information. The land community has come to believe that this problem is strongly related to the data collection process, where the use of highly accurate, expensive and time-consuming spatial data collection methods such as field surveying, is overemphasised. To overcome this, innovative spatial data collection methods are employed in many jurisdictions (e.g. using GPS for low-cost boundary surveys, using the power of citizen in the process of data collection). However, little is known about the parameters that affect the choice of a spatial data collection method to be appropriate for its intended purposes. Arguably, establishing a fit-for-purpose data capture method for collecting or updating RRRs related to land and property is essential for enabling the range of land administration functions around the world. This paper reports on a systematic study to determine a set of parameters that could influence the choice of a spatial data collection method in land administration. Data was collected using a Delphi study, which establishes consensus among land administration experts. This method allowed us to unlock knowledge through an iterative process with controlled feedback. For the first time in this study, an international group of land administration experts reached consensus regarding a set of parameters that should be considered in the process of selecting a fit-for-purpose spatial data collection method. These findings are incorporated to formulate a generic and innovative framework, which could potentially serve as a basis for ensuring that the choice of a spatial data collection method in land administration is fit for purpose.

Suggested Citation

  • Rahmatizadeh, Shima & Rajabifard, Abbas & Kalantari, Mohsen & Ho, Serene, 2018. "A framework for selecting a fit-for-purpose data collection method in land administration," Land Use Policy, Elsevier, vol. 70(C), pages 162-171.
    • Handle: RePEc:eee:lauspo:v:70:y:2018:i:c:p:162-171
    DOI: 10.1016/j.landusepol.2017.10.034
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    References listed on IDEAS

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    1. Michael R Czinkota & Ilkka A Ronkainen, 1997. "International Business and Trade in the Next Decade: Report from a Delphi Study," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 28(4), pages 827-844, December.
    2. Rowe, Gene & Wright, George, 1999. "The Delphi technique as a forecasting tool: issues and analysis," International Journal of Forecasting, Elsevier, vol. 15(4), pages 353-375, October.
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    1. Malumbo C. Chipofya & Sahib Jan & Angela Schwering, 2021. "SmartSkeMa: Scalable Documentation for Community and Customary Land Tenure," Land, MDPI, vol. 10(7), pages 1-20, June.
    2. Metaferia, Mekonnen Tesfaye & Bennett, Rohan Mark & Alemie, Berhanu Kefale & Koeva, Mila, 2023. "The peri-urban cadastre of Addis Ababa: Status, challenges, and fit-for-purpose prospects," Land Use Policy, Elsevier, vol. 125(C).
    3. Aditya, Trias & Santosa, Purnama Budi & Yulaikhah, Yulaikhah & Widjajanti, Nurrohmat & Atunggal, Dedi & Sulistyawati, Miranty, 2021. "Title Validation and collaborative mapping to accelerate quality assurance of land registration," Land Use Policy, Elsevier, vol. 109(C).
    4. Casiano Flores, Cesar & Tan, Evrim & Buntinx, Ine & Crompvoets, Joep & Stöcker, Claudia & Zevenbergen, Jaap, 2020. "Governance assessment of the UAVs implementation in Rwanda under the fit-for-purpose land administration approach," Land Use Policy, Elsevier, vol. 99(C).
    5. Mila Koeva & Mohammed Imaduddin Humayun & Christian Timm & Claudia Stöcker & Sophie Crommelinck & Malumbo Chipofya & Rohan Bennett & Jaap Zevenbergen, 2021. "Geospatial Tool and Geocloud Platform Innovations: A Fit-for-Purpose Land Administration Assessment," Land, MDPI, vol. 10(6), pages 1-23, May.
    6. Dwi Budi Martono & Trias Aditya & Subaryono Subaryono & Prijono Nugroho, 2021. "The Legal Element of Fixing the Boundary for Indonesian Complete Cadastre," Land, MDPI, vol. 10(1), pages 1-24, January.
    7. Serene Ho & Pranab R. Choudhury & Nivedita Haran & Rebecca Leshinsky, 2021. "Decentralization as a Strategy to Scale Fit-for-Purpose Land Administration: An Indian Perspective on Institutional Challenges," Land, MDPI, vol. 10(2), pages 1-18, February.
    8. Casiano Flores, Cesar & Tan, Evrim & Crompvoets, Joep, 2021. "Governance assessment of UAV implementation in Kenyan land administration system," Technology in Society, Elsevier, vol. 66(C).
    9. Hafte Gebreselassie Gebrihet & Pregala Pillay, 2021. "Emerging Challenges and Prospects of Digital Transformation and Stakeholders Integration in Urban Land Administration in Ethiopia," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 13(3), pages 341-356, September.
    10. Scanlan, Oliver & Siraj, Nasrin & Ritchil, Parag & Mankin, Shamsagor, 2024. "Is “pro-poor land administration” a realistic proposition? How a land survey in Bangladesh reproduced and reconfigured gendered and racialised poverty," Land Use Policy, Elsevier, vol. 138(C).
    11. Trias Aditya & Eva Maria-Unger & Christelle vd Berg & Rohan Bennett & Paul Saers & Han Lukman Syahid & Doni Erwan & Tjeerd Wits & Nurrohmat Widjajanti & Purnama Budi Santosa & Dedi Atunggal & Imam Han, 2020. "Participatory Land Administration in Indonesia: Quality and Usability Assessment," Land, MDPI, vol. 9(3), pages 1-27, March.

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