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Land
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Smart Land Use Planning II
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Smart Land Use Planning II

A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Land Planning and Landscape Architecture".

Deadline for manuscript submissions: 31 May 2024 | Viewed by 5412

Special Issue Editors

Dr. Xufeng Cui

E-Mail Website
Guest Editor
School of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, China
Interests: land management; land use planning; land information; geographic information system; natural resources management; agroeconomics
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Walter T. De Vries

E-Mail Website
Guest Editor
School of Engineering and Design, Department of Aerospace and Geodesy, Technical University of Munich (TUM), Arcisstrasse 21, 80333 München, Germany
Interests: land management; land administration; land use planning; cadastre; land information; organizational and institutional aspects of land management
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Fei Li

E-Mail Website
Guest Editor
Research Center for Environment and Health, Zhongnan University of Economics and Law, Wuhan 430073, China
Interests: regression simulation of multi-media environmental pollution; intelligent management of regional environmental risks; environmental economic assessment
Special Issues, Collections and Topics in MDPI journals
Dr. Basanta Paudel

E-Mail Website
Guest Editor
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Interests: land use; land cover; land resources; ecosystem services; remote sensing; geography; GIS; UAV; climate change
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the evolution of geographic information systems, remote sensing, data mining and other technologies, the concepts of land intelligent management, refined planning, big data analysis and intelligent monitoring have moved from theory to practice. Under the influence of a new round of scientific and technological revolution, how to use new technology to promote the smart change of land-use planning and achieve sustainable land use has become a key issue. It can be predicted that the future land-use planning will be based on the network, the software platform as the center, data as the element and security as the guarantee, and integrate the Internet, Geographic Information System (GIS), Internet of Things (IoT), Artificial Intelligence (AI), Cloud Computing and other technologies, to form a diversified integrated intelligent system.

The purpose of this Special Issue is to invite academics and practitioners to describe their practical experiences and insights in this field, and to provide a platform for researchers to share theories, tools and practical experiences about smart land-use planning.

Potential topics include, but are not limited to:

  • New theory of smart land-use planning;
  • Smart land-use planning and ChatGPT;
  • Smart land-use planning and geospatial science, big data, blockchain and meta-universe and other advanced technologies;
  • Challenging approaches for smart land use planning methods;
  • Smart land-use planning and sustainable development;
  • Smart land-use planning and urban governance;
  • Smart land-use planning experience and best practices around the world.

Dr. Xufeng Cui
Prof. Dr. Walter T. De Vries
Prof. Dr. Fei Li
Dr. Basanta Paudel
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.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Land is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • spatial planning
  • big data
  • geospatial science
  • artificial intelligence
  • experience and best practices
  • sustainable land use

Related Special Issue

Published Papers (5 papers)

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Research

16 pages, 9092 KiB  
Article
Dynamics of Built-Up Areas and Challenges of Planning and Development of Urban Zone of Greater Lomé in Togo, West Africa
by Têtou-Houyo Blakime, Kossi Adjonou, Kossi Komi, Atsu K. Dogbeda Hlovor, Kodjovi Senanou Gbafa, Jean-Bosco Benewinde Zoungrana, Botolisam Polorigni and Kouami Kokou
Land 2024, 13(1), 84; https://doi.org/10.3390/land13010084 - 11 Jan 2024
Viewed by 754
Abstract
The expansion of African cities leads to the occupation of peripheral urban areas without respecting planning rules. The Greater Lomé (Togo) is no exception to this phenomenon of high-speed horizontal spreading, which causes recurrent flooding. The objective of this research is to understand [...] Read more.
The expansion of African cities leads to the occupation of peripheral urban areas without respecting planning rules. The Greater Lomé (Togo) is no exception to this phenomenon of high-speed horizontal spreading, which causes recurrent flooding. The objective of this research is to understand the spatio-temporal changes in the dynamics of built-up areas in Greater Lomé. The methodology used is based on the analysis of Landsat images from the years 2007, 2012, 2016, and 2020 coupled with direct field observations and a literature review. The results showed an increase in residential areas to the detriment of the other land use/cover types. Estimated at 15,481 ha in 2007, the built-up area reached 35,521 ha in 2020, an increase of 33% to the detriment of vegetation and cultivation areas. This increase was marked by constructions in the floodplain of the Zio River. The field surveys revealed an increase in the density of most of the agglomerations. From 1863 ha in 2007, they increased to 14,485 ha in 2020, an increase of 12,622 ha or approximately 33%. These results indicate that attention needs to be paid to both the planning and control of the development of spaces in the outlying areas of Greater Lomé. Full article
(This article belongs to the Special Issue Smart Land Use Planning II)
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25 pages, 3818 KiB  
Article
Unveiling the Spatio-Temporal Evolution and Key Drivers for Urban Green High-Quality Development: A Comparative Analysis of China’s Five Major Urban Agglomerations
by Tonghui Yu, Xuan Huang, Shanshan Jia and Xufeng Cui
Land 2023, 12(11), 1962; https://doi.org/10.3390/land12111962 - 24 Oct 2023
Viewed by 804
Abstract
Faced with the dual challenges of ecological degradation and economic deceleration, promoting urban green high-quality development (UGHQD) is pivotal for achieving economic transformation, ecological restoration, and regional sustainable development. While the existing literature has delved into the theoretical dimensions of UGHQD, there remains [...] Read more.
Faced with the dual challenges of ecological degradation and economic deceleration, promoting urban green high-quality development (UGHQD) is pivotal for achieving economic transformation, ecological restoration, and regional sustainable development. While the existing literature has delved into the theoretical dimensions of UGHQD, there remains a notable dearth of empirical studies that quantitatively assess its developmental levels, spatio-temporal evolution, and driving factors. This study examines 107 cities of China’s five major urban agglomerations from 2003 to 2020, constructing a comprehensive evaluation indicator system for UGHQD. By employing methodologies, including the Dagum Gini coefficient, Kernel density estimation, Markov chain, and geographical detector, this study extensively assesses the spatial difference, dynamic evolution, and underlying driving forces of UGHQD in these urban agglomerations. The findings indicate: (1) The UGHQD level of the five major urban agglomerations has witnessed a consistent year-over-year growth trend, with coastal agglomerations like the Pearl River Delta (PRD) and Yangtze River Delta (YRD) outperforming others. (2) Pronounced regional differences exist in UGHQD levels across the urban agglomerations, with inter-regional differences primarily contributing to these differences. (3) The dynamic evolution of UGHQD distribution generally transitions from a centralized to a decentralized pattern, with a marked “club convergence” characteristic hindering cross-type leaps. (4) While a range of factors drive UGHQD in these agglomerations, technological innovation stands out as the principal factor inducing spatial differentiation. The comprehensive analysis and findings presented in this research not only contribute to academic knowledge but also hold practical implications for policymakers and practitioners striving for environmentally conscious land use planning and urban management. Full article
(This article belongs to the Special Issue Smart Land Use Planning II)
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18 pages, 2619 KiB  
Article
Identifying the Spatial Patterns and Influencing Factors of Leisure and Tourism in Xi’an Based on Point of Interest (POI) Data
by Xiaoshuang Qu, Gaoyang Xu, Jinghui Qi and Hongjie Bao
Land 2023, 12(9), 1805; https://doi.org/10.3390/land12091805 - 19 Sep 2023
Cited by 3 | Viewed by 1242
Abstract
Leisure and tourism spaces are shared by both residents and tourists seeking a higher quality of life. Most of the literature focuses only on the study of a particular type of leisure or tourism space in cities and lacks an overall exploration of [...] Read more.
Leisure and tourism spaces are shared by both residents and tourists seeking a higher quality of life. Most of the literature focuses only on the study of a particular type of leisure or tourism space in cities and lacks an overall exploration of the distribution patterns of urban leisure and tourism formats. Based on the leisure and tourism point of interest (POI) data of 11 districts in Xi’an, this paper uses geospatial analysis to examine the spatial patterns of leisure and tourism facilities and their influencing factors in Xi’an. It is found in this study that the distributions overall and the various types of leisure and tourism spaces in Xi’an show the characteristics of central urban agglomeration and sparse dispersion in the surrounding urban areas. Different types of leisure and tourism patterns have obvious spatial scale dependence, but there are differences in the scope of spatial selection. In general, the core agglomeration area has limited radiation and driving effects on the peripheral areas, and there is a prominent phenomenon of imbalance in the distribution of leisure and tourism facilities following a single industrial structure. The formation of the spatial patterns of leisure and tourism is the result of a combination of dominant factors, driving factors, safeguarding factors, and other triggering factors. Urban leisure and tourism spaces are intertwined, and the spatial balance and industrial diversification of leisure and tourism can be promoted through scientific spatial planning. This study aims to provide services for urban land planning and policy-making by revealing the spatial distribution principles of leisure and tourism sites in tourist cities as represented by Xi’an. Full article
(This article belongs to the Special Issue Smart Land Use Planning II)
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21 pages, 8128 KiB  
Article
Spatiotemporal Variations of Production–Living–Ecological Space under Various, Changing Climate and Land Use Scenarios in the Upper Reaches of Hanjiang River Basin, China
by Pengtao Wang, Xupu Li, Liwei Zhang, Zhuangzhuang Wang, Jiangtao Bai, Yongyong Song, Hongzhu Han, Ting Zhao, Guan Huang and Junping Yan
Land 2023, 12(9), 1770; https://doi.org/10.3390/land12091770 - 13 Sep 2023
Viewed by 779
Abstract
Land is an important resource that supports the production, life, and ecological development of human society. The current research on production–living–ecological space (PLES) is mainly focusing on the identification of single and dominant functions of land space, and the comprehensive spatial function measurement [...] Read more.
Land is an important resource that supports the production, life, and ecological development of human society. The current research on production–living–ecological space (PLES) is mainly focusing on the identification of single and dominant functions of land space, and the comprehensive spatial function measurement index of PLES (PLESI) is less known in the effective quantitative evaluation of multifunctionality of different land use categories. Integrating the CMIP6 (Coupled Model Intercomparison Project phase 6) scenario data and the future land use simulation model (FLUS), this research took the upper reaches of the Hanjiang River (URHR) as an example to explore the temporal and spatial variations in land use, PLES, and PLESIs during 2000–2020, and in the SSP2-4.5 and SSP5-8.5 scenarios from 2021 to 2100. The findings were as follows: (1) Forest land is the most widely distributed type of land; correspondingly, ecological space has the widest distribution area in PLES, followed by production space. (2) The area of dry land and building land increased between 2000 and 2010, accompanied by the increase in living space. From 2010 to 2020, the growth rate of building land tended to slow down while forest land increased, and the conflict of PLES eased. (3) The transfer between forest land and dry land is projected to intensify under the SSP2-4.5 scenario, while it is projected to occur between forest land and grassland under the SSP5-8.5 scenario. As for the changes in PLES, the SSP2-4.5 scenario has a greater impact than the SSP5-8.5 scenario. Spatially, several sub-basins in the northern URHR are the main areas of land use and PLES change. (4) PLESI presents a significant downward trend from 2000 to 2020 while trending upward under the SSP5-8.5 scenario and trending downward slightly under the SSP2-4.5 scenario between 2020 and 2100. Combining climate scenarios and the future land use simulation, this research would support the effective utilization of regional land resources and ecosystem management decision-making. Full article
(This article belongs to the Special Issue Smart Land Use Planning II)
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17 pages, 10268 KiB  
Article
Evaluation of Urban Commercial Land Use Intensification Based on Land Parcels: Taking Wuxi City as an Example
by Haocong Wang, Kening Wu, Zhe Feng, Huafu Zhao, Hua Ai and Chao Meng
Land 2023, 12(8), 1608; https://doi.org/10.3390/land12081608 - 15 Aug 2023
Viewed by 871
Abstract
Intensive land use assessment is a key research topic in urban land use, and most of the existing studies focus on macro-level assessment. There is a lack of research on the micro-level assessment of intensive urban land use, especially at the parcel level. [...] Read more.
Intensive land use assessment is a key research topic in urban land use, and most of the existing studies focus on macro-level assessment. There is a lack of research on the micro-level assessment of intensive urban land use, especially at the parcel level. The objective of this research is to propose a method for the parcel-based evaluation of urban commercial land intensification. The study uses a multidimensional evaluation framework and index system, comprehensive evaluation, and spatially exploratory analysis of urban commercial intensive land use based on “building intensity, use efficiency, compatibility, and diversity”. The study finds that (1) the average value of intensive use of urban commercial land is 13.01, the standard deviation is 5.11, and the median value is 13, which generally indicate a medium level. (2) The degree of intensive use of commercial land has obvious characteristics of a high, medium, and low level. The study shows that when evaluating the degree of land use intensification at the parcel level, it is also necessary to consider the influence of the compatibility and diversity of external land use. The research results can provide a basis for spatial planning and the optimal design of urban land resources to improve urban vitality. Full article
(This article belongs to the Special Issue Smart Land Use Planning II)
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