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Enhancement of Urban Smart Spatial Planning via Geospatial Technologies

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Environmental Science and Engineering".

Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 5184

Special Issue Editor

Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, China
Interests: spatio-temporal data mining; spatial modeling; big data; complex networks; fractal geometry
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The advancement of geo-information science and technology (i.e., complex science, geo-big data, geocomputation, deep learning, artificial intelligence, etc.) greatly facilitates the process of urban smart spatial planning and, more importantly, provides a new opportunity for the spatial planning mode shift and sustainable decision making through a better understanding of the relationship between urban configuration and human activities therein. Considering that a sustainable city is supposed to be as smart, healthy, low-carbon, cultivated, and people-oriented as possible, this Special Issue invites manuscript submissions that apply geospatial technologies to tackle these aspects.

Potential topics include but are not limited to urban structure and dynamics reflected by geospatial big data; agent-based simulation of urban mobility or urban growth; deep learning techniques on complex urban form and function; jobs–housing balance and green commuting; spatial identification or optimization of new energy industries or other green fundamental infrastructures; and the assessment of spatial equity of public resources and services (transportation, education, leisure, etc.).

Dr. Ding Ma
Guest Editor

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. International Journal of Environmental Research and Public Health 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 2500 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
  • geospatial big data
  • smart city
  • complex urban modeling
  • healthy city
  • low-carbon city
  • cultivated city

Published Papers (3 papers)

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Research

15 pages, 1462 KiB  
Article
Analysis of the Spatial-Temporal Evolution of Urbanization Quality in Zhejiang Province, China
by Yangfei Huang, Xiaomin Jiang and Yong Chen
Int. J. Environ. Res. Public Health 2023, 20(5), 4093; https://doi.org/10.3390/ijerph20054093 - 24 Feb 2023
Cited by 2 | Viewed by 1403
Abstract
Taking cities in Zhejiang Province of China from 2011 to 2020 as the research object, a multi-dimensional urbanization quality evaluation index system was constructed using the comprehensive analysis method, and the urbanization quality of 11 cities in Zhejiang Province was quantitatively measured using [...] Read more.
Taking cities in Zhejiang Province of China from 2011 to 2020 as the research object, a multi-dimensional urbanization quality evaluation index system was constructed using the comprehensive analysis method, and the urbanization quality of 11 cities in Zhejiang Province was quantitatively measured using the entropy weight method. The system classification and time-space evolution analysis were carried out using ArcGIS software (Environmental Systems Research Institute, Inc., RedLands, CA, USA) to comprehensively study the evolution characteristics and influencing factors of the urbanization quality of cities in Zhejiang Province. This study provides a reference for local governments to formulate feasible urbanization development strategies and policies to promote the high-quality development of urbanization and for the construction of new urbanization in other provinces and cities. Full article
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18 pages, 4435 KiB  
Article
A Study on the Spatial Pattern of the Ecological Product Value of China’s County-Level Regions Based on GEP Evaluation
by Ping Shen, Lijuan Wu, Ziwen Huo and Jiaying Zhang
Int. J. Environ. Res. Public Health 2023, 20(4), 3181; https://doi.org/10.3390/ijerph20043181 - 11 Feb 2023
Viewed by 1300
Abstract
Gross Ecosystem Product (GEP) is a concept that reflects ecological product value by using geospatial technology. It can demonstrate the spatial distribution of ecological products and provide new perspectives and refined support for spatial planning. China’s county-level regions are important units for the [...] Read more.
Gross Ecosystem Product (GEP) is a concept that reflects ecological product value by using geospatial technology. It can demonstrate the spatial distribution of ecological products and provide new perspectives and refined support for spatial planning. China’s county-level regions are important units for the promotion of ecological product value. Based on the concept of GEP, this study evaluated the ecological product value of China’s county-level regions in 2020, used Local Indicators of Spatial Association (LISA) to visualise spatial patterns and conducted a correlation analysis between the GEP indices and economic and land use factors. The study found that the results of evaluation and analysis varied by spatial distribution: (1) county-level regions with high provisioning service indices are concentrated in northeastern China and southeastern China; (2) county-level regions with high regulating service indices are concentrated south of the Yangtze River and in the southern region of the Qinghai-Tibet Plateau; (3) county-level regions with high cultural service indices are concentrated in southeastern China; (4) county-level regions with high composite GEP indices are concentrated in northeastern China. The results have different correlations with different factors, reflecting the complex mechanisms behind ecological value transformation. For example, the composite GEP index for an area has a strong positive correlation with the area’s proportions of woodland area, water area and GDP. Full article
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22 pages, 4648 KiB  
Article
Study on Spatial Geometric Similarity Based on Conformal Geometric Algebra
by Xiaomin Jiang, Yangfei Huang and Feng Zhang
Int. J. Environ. Res. Public Health 2022, 19(17), 10807; https://doi.org/10.3390/ijerph191710807 - 30 Aug 2022
Cited by 2 | Viewed by 1603
Abstract
The study of spatial geometric similarity plays a significant role in spatial data retrieval. Many researchers have examined spatial geometric similarity, which is useful for spatial analysis and data retrieval. However, the majority of them focused on objects of the same type. Methods [...] Read more.
The study of spatial geometric similarity plays a significant role in spatial data retrieval. Many researchers have examined spatial geometric similarity, which is useful for spatial analysis and data retrieval. However, the majority of them focused on objects of the same type. Methods to support the spatial geometric similarity computation for different types of objects are rare, a systematic theory index has not been developed yet, and there has not been a comprehensive computational model of spatial geometric similarity. In this study, we conducted an analysis of the spatial geometric similarity computation based on conformal geometric algebra (CGA), which has certain advantages in the quantitative computation of the measurement information of spatial objects and the qualitative judgment of the topological relations of spatial objects. First, we developed a unified expression model for spatial geometric scenes, integrating shapes of objects and spatial relations between them. Then, we established a model for the spatial geometric similarity computation under various geographical circumstances to provide a novel approach for spatial geometric similarity research. Finally, the computation model was verified through a case study. The study of spatial geometric similarity sheds light on spatial data retrieval, which has scientific significance and practical value. Full article
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