Smart Land Management

A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Land Socio-Economic and Political Issues".

Deadline for manuscript submissions: 28 June 2024 | Viewed by 3775

Special Issue Editors


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Guest Editor
Department of Geography, Environment and Population, School of Social Sciences, University of Adelaide, Adelaide, SA 5005, Australia
Interests: human geography; environmental management

Special Issue Information

Dear Colleagues,

Land management is “smart” if it relies on passive and active information sensors before, during, and after the decision-making processes with regard to land. Smartness, in other words, is the combination of both smart citizens, who can use information and communication technologies to advocate for and pursue their interests, as well as smart information processing, i.e., facilities that can combine data into all types of sources and platforms. The assumption is that smarter citizens are more capable of collectively shaping and deciding their own future and as a result produce more intelligent, sustainable, and participative cities and societies. The governance of cities is also changing because decision-making processes and the abundance of information as a basis for decision making are changing in parallel. However, it is not clear whether smart land management directly leads to responsible land management.

This Special Issue (SI) will try to answer the following questions: To what extent are smart technologies changing the scale and type of governance along with increasing/decreasing disparities between cities and regions? What factors can contribute to a stronger sense of responsibility in smart land management? The SI is looking for smart land management as a type of land management based on land-related agreements and change processes derived from and built on smart technologies. This SI attempts to show how smart land management will be developed through learning and adaptive paradigms, built together with citizens and land-related actors. The SI will further focus on studies investigating smart land use planning; remote sensing, blockchain, and meta-universe and other advanced technologies; challenging approaches for smart land use planning methods; smart land use planning and sustainable development; urban governance; smart land use planning experience and best practices around the world. We are inviting contributions of academics and practitioners describing their practical experiences and insights in the field of land use planning and smart land management. All types of scientific contributions, including empirical studies, research articles, and critical reviews, are welcome for publication.

Prof. Dr. Hossein Azadi
Prof. Dr. Guy M Robinson
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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Keywords

  • technology innovation
  • land management
  • land-use planning
  • land administration
  • artificial intelligence

Published Papers (1 paper)

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Research

20 pages, 1344 KiB  
Article
Smart Land Governance: Towards a Conceptual Framework
by Hossein Azadi, Guy Robinson, Ali Akbar Barati, Imaneh Goli, Saghi Movahhed Moghaddam, Narges Siamian, Rando Värnik, Rong Tan and Kristina Janečková
Land 2023, 12(3), 600; https://doi.org/10.3390/land12030600 - 03 Mar 2023
Cited by 1 | Viewed by 2693
Abstract
Global environmental governance (GEG) is one of the world’s major attempts to address climate change issues through mitigation and adaptation strategies. Despite a significant improvement in GEG’s structural, human, and financial capital, the global commons are decaying at an unprecedented pace. Among the [...] Read more.
Global environmental governance (GEG) is one of the world’s major attempts to address climate change issues through mitigation and adaptation strategies. Despite a significant improvement in GEG’s structural, human, and financial capital, the global commons are decaying at an unprecedented pace. Among the global commons, land has the largest share in GEG. Land use change, which is rooted in increasing populations and urbanization, has a significant role in greenhouse gas (GHG) emissions. As a response, land governance and, consequently, good land governance, have arisen as normative concepts emerging from a series of success factors (notably economic development, environmental conservation, and social justice) to achieve greater sustainability. However, global land governance has shown little success in helping GEG due to the lack of intellectual and flexible thinking over governing the land sector. Consequently, reforming land governance “in a smart way” is one of the most critical actions that could contribute to achieving GEG goals. Hence, we propose a smart land governance (SLG) system that will be well addressed, understood, and modeled in a systemic and dynamic way. A smart system may be smart enough to adapt to different contexts and intellectual responses in a timely fashion. Accordingly, SLG is able to promote shared growth and solve many land sector problems by considering all principles of good land governance. Therefore, in order to enhance adaptive land governance systems, efficient land administration and management are required. This study’s outcomes will raise the comprehension of the problems of land management, providing an excellent framework to help land planners and policy-makers, as well as the development of strategic principles with respect to the principal multidimensional components of SLG. Full article
(This article belongs to the Special Issue Smart Land Management)
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