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Geographic Information Engineering and Geoenvironmental Sustainability

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainability in Geographic Science".

Deadline for manuscript submissions: 26 July 2024 | Viewed by 1512

Special Issue Editors


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Guest Editor
Department of Location-based Information System, Kyungpook National University, Daegu, Republic of Korea
Interests: GIS; machine learning

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Guest Editor
Department of Geography, Kyung Hee University, Seoul, Republic of Korea
Interests: geospatial data science; geosimulation; cybergis; health geography; spatial accessibility

Special Issue Information

Dear Colleagues,

One of the sustainability development goals (SDGs) of the United Nations (UN), SDG3 aims to “ensure healthy lives and promote well-being for all at all ages”. Some built environments, including green spaces, support active lifestyles and contribute to promoting people’s physical and mental health. The UN highlighted parks, green spaces and waterways as solutions to the effects of unsustainable urbanization on health and well-being. Cities are recognizing that the increasing stream of data and information can support rapid advances in human health and built environments. Data-driven approaches with statistical methods, machine learning or deep learning techniques, and geospatial analytics can help gain insights into the interaction between built environments and humans.

This Special Issue will include new conceptual tools and theoretical frameworks that work toward understanding the association between human health and built environments. In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Community health;
  • Green and blue space and human health;
  • Health inequalities;
  • Urban planning for resilience and health;
  • Land use/cover and human health;
  • Environmental health;
  • Built environments and physical activity;
  • Urban environments and active travel modes;
  • Sensor data and data analytics;
  • Geospatial data analytics;
  • Remote sensing and health.

We look forward to receiving your contributions.

Sincerely,

Dr. Kangjae Lee
Dr. Jeon-Young Kang
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. Sustainability is an international peer-reviewed open access semimonthly 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 2400 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

  • statistical methods
  • machine learning
  • deep learning
  • explainable artificial intelligence
  • built environment
  • green space
  • physical health
  • mental health
  • environmental health

Published Papers (2 papers)

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Review

13 pages, 1798 KiB  
Review
Daily Green Exposure, Mobility, and Health: A Scoping Review
by Tong Liu, Winifred E. Newman and Matthew H. E. M. Browning
Sustainability 2024, 16(8), 3412; https://doi.org/10.3390/su16083412 - 19 Apr 2024
Viewed by 420
Abstract
Mounting evidence suggests urban greenery promotes physical activity and human health. However, scholars have differing views on defining or measuring the terms related to green mobility behavior (MB). Therefore, evaluating how green MB impacts health is challenging. After an initial review of the [...] Read more.
Mounting evidence suggests urban greenery promotes physical activity and human health. However, scholars have differing views on defining or measuring the terms related to green mobility behavior (MB). Therefore, evaluating how green MB impacts health is challenging. After an initial review of the literature on mobility, greenness, and health, we proposed “daily greenness exposure” (DGE) to define people’s exposure to natural/green settings. This approach lets us review and compare general and emerging measures of greenery exposure and differentiate study outcomes in MB and health. We identified 20 relevant Web of Science Core Collection studies during a scoping review completed in November 2021. Three types of DGE assessments were observed: ecological momentary, effect, and spatiotemporal. Four relationships were noted between DGE, MB, and health: moderation, mediation, independence, and undifferentiated. Incorporating these assessments and DGE modeling relationships contributes to better analysis and communication of environmental factors promoting health to environmental designers and policymakers. Full article
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22 pages, 7829 KiB  
Review
Exploring GIS Techniques in Sea Level Change Studies: A Comprehensive Review
by Justine Sarrau, Khaula Alkaabi and Saif Obaid Bin Hdhaiba
Sustainability 2024, 16(7), 2861; https://doi.org/10.3390/su16072861 - 29 Mar 2024
Viewed by 782
Abstract
Sea level change, a consequence of climate change, poses a global threat with escalating impacts on coastal regions. Since 1880, global mean sea level has risen by 8–9 inches (21–24 cm), reaching a record high in 2021. Projections by NOAA suggest an additional [...] Read more.
Sea level change, a consequence of climate change, poses a global threat with escalating impacts on coastal regions. Since 1880, global mean sea level has risen by 8–9 inches (21–24 cm), reaching a record high in 2021. Projections by NOAA suggest an additional 10–12-inch increase by 2050. This paper explores research methodologies for studying sea level change, focusing on Geographic Information System (GIS) techniques. GIS has become a powerful tool in sea level change research, allowing the integration of spatial data, coastal process modeling, and impact assessment. This paper sets the link with sustainability and reviews key factors influencing sea level change, such as thermal expansion and ice-mass loss, and examines how GIS is applied. It also highlights the importance of using different scenarios, like Representative Concentration Pathways (RCP), for accurate predictions. The paper discusses data sources, index variables like the Coastal Vulnerability Index, and GIS solutions for modeling sea level rise impacts. By synthesizing findings from previous research, it contributes to a better understanding of GIS methodologies in sea level change studies. This knowledge aids policymakers and researchers in developing strategies to address sea level change challenges and enhance coastal resilience. Furthermore, global analysis highlights the pivotal roles of the United States and China in sea level change (SLC) and GIS research. In the Gulf Cooperation Council (GCC) region, rising temperatures have substantial impacts on local sea levels and extreme weather events, particularly affecting vulnerable coastal areas. Full article
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