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Identifying global parameters for advancing Land Administration Systems

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  • Jahani Chehrehbargh, Fatemeh
  • Rajabifard, Abbas
  • Atazadeh, Behnam
  • Steudler, Daniel

Abstract

Sustainable and efficient land management is crucial for preserving our natural resources. Social, environmental, and economic management aspects of a country are all dependent on the Land Administration Systems (LASs). It is also crucial for any country or jurisdiction to have a LAS in order to manage the ownership, their people’s relationship to land, and disasters, improve resilience, support, and achieve Sustainable Development Goals (SDGs). A successful implementation, however, depends on designing appropriate systems by considering a number of important parameters. Our societies today face many sustainability challenges such as population growth, disaster occurrences, and scarcity of land resources. By considering global initiatives for sustainability and community resilience, current LASs should be assessed to make sure they are efficient in addressing sustainability challenges. Therefore, their design framework and components require ongoing adjustments. In this context, the need for advancing LASs design has become increasingly evident since international institutions and land administration agencies have been pursuing research and development to improve LASs. These authorities have proposed several related frameworks and models, including SDGs, the New Urban Agenda (NUA), the Framework for Effective Land Administration (FELA), and the Land Governance Assessment Framework (LGAF). In addition, there are several investigations proposing frameworks for the evaluation of LASs. Therefore, this study aims to do a comprehensive investigation of relevant global initiatives and research-driven evaluation frameworks that lay the foundation for advancing parameters in LASs. By implementing the Document Analysis method, this study proposes the required parameters and their indicators that are critically important for advancing LASs.

Suggested Citation

  • Jahani Chehrehbargh, Fatemeh & Rajabifard, Abbas & Atazadeh, Behnam & Steudler, Daniel, 2024. "Identifying global parameters for advancing Land Administration Systems," Land Use Policy, Elsevier, vol. 136(C).
    • Handle: RePEc:eee:lauspo:v:136:y:2024:i:c:s0264837723004398
    DOI: 10.1016/j.landusepol.2023.106973
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    References listed on IDEAS

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    1. Dawidowicz, Agnieszka & Źróbek, Ryszard, 2018. "A methodological evaluation of the Polish cadastral system based on the global cadastral model," Land Use Policy, Elsevier, vol. 73(C), pages 59-72.
    2. Pauline Peters, 2007. "Challenges in Land Tenure and Land Reform in Africa: An Anthropological Perspective," CID Working Papers 141, Center for International Development at Harvard University.
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    5. Josip Križanović & Doris Pivac & Hrvoje Tomić & Siniša Mastelić-Ivić, 2021. "Review of Land Administration Data Dissemination Practices: Case Study on Four Different Land Administration System Types," Land, MDPI, vol. 10(11), pages 1-21, November.
    6. Solomon Dargie Chekole & Walter Timo de Vries & Gebeyehu Belay Shibeshi, 2020. "An Evaluation Framework for Urban Cadastral System Policy in Ethiopia," Land, MDPI, vol. 9(2), pages 1-15, February.
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    1. Dionysia Georgia Perperidou, 2025. "From the Person-Based Land Registries to the Parcel-Based Hellenic Cadastre: A Review on Securing Property Documentation, Land Administration, and Spatial Data Management in Greece," Land, MDPI, vol. 14(6), pages 1-36, May.
    2. Păunescu, Vlad & Iliescu, Alexandru-Iulian & Sălăgean, Tudor & Şuba, Elemer-Emanuel & Nap, Mircea-Emil, 2024. "An analysis of strategic goals and public procurement strategy regarding the implementation of The National Program for Land Registration in Romania," Land Use Policy, Elsevier, vol. 146(C).
    3. Burak Uşak & Volkan Çağdaş & Abdullah Kara, 2024. "Current Cadastral Trends—A Literature Review of the Last Decade," Land, MDPI, vol. 13(12), pages 1-33, December.
    4. Hosseini, Hamid & Atazadeh, Behnam & Rajabifard, Abbas, 2025. "Towards intelligent land administration systems: Research challenges, applications and prospects in AI-driven approaches," Land Use Policy, Elsevier, vol. 157(C).

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