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Big Data and Sustainable Cities: Applications of Geospatial Data in Urban Hazards

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Environmental Sustainability and Applications".

Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 12618

Special Issue Editor

Dr. Qingmin Meng

E-Mail Website
Guest Editor
Department of Geosciences, Mississippi State University, Mississippi State, MS 39762, USA
Interests: geospatial big data exploration; hydraulic fracturing; landscape epidemiology; remote sensing; ecological systems; geospatial modeling
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Aspirant writers are invited to submit manuscripts to further analyze and reveal urban hazards, which seems a common but still challenging topic in the frontier of environment-society-policy. All contributed papers are viewed as significant literature contributions to the study of urban hazards. 

This Special Issue will help broaden and deepen the understanding of urban hazards and their increasing impacts on urban environment, community, society and development. The spatial aspects and temporal characteristics of urban hazards—either natural or man-made—and their consequences on community, economics, ethnics, infrastructure and society will be addressed in order to better understand urban hazards. Geospatial big data and related data science can be effective approaches to urban hazard analytics, while other quantitative and qualitative methods can also play vital roles in hazard analysis. Potential topics are listed below, including (but not limited to): 

  • The nature and environment of urban hazard;
  • The perspective of urban hazard;
  • Social media and urban hazard;
  • Climate change and urban hazard;
  • Urban hazard risk analysis and/or assessment;
  • Urban hazard and its impacts on urban planning and future;
  • Urban hazard and social justice;
  • Urban hazard and emergency management;
  • Urban hazard and urban vulnerability;
  • Urban hazard and urban resilience;
  • Urban hazard and urban sustainability.

Dr. Qingmin Meng
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. 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

  • urban hazard
  • climate change
  • urban hazard risk analysis
  • urban sustainability
  • urban resilience

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (3 papers)

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Research

19 pages, 4352 KiB  
Article
Global Megacities and Frequent Floods: Correlation between Urban Expansion Patterns and Urban Flood Hazards
by Dorcas Idowu and Wendy Zhou
Sustainability 2023, 15(3), 2514; https://doi.org/10.3390/su15032514 - 31 Jan 2023
Cited by 21 | Viewed by 5568
Abstract
With climate change causing increased extreme weather events, megacities worldwide are experiencing unprecedentedly devastating floods and recurring flood damage. Investigating global megacities’ increased disposition to flooding will aid in developing sustainable flood-risk-management frameworks. Many studies have been conducted on the association between land-cover [...] Read more.
With climate change causing increased extreme weather events, megacities worldwide are experiencing unprecedentedly devastating floods and recurring flood damage. Investigating global megacities’ increased disposition to flooding will aid in developing sustainable flood-risk-management frameworks. Many studies have been conducted on the association between land-cover types and flood consequences, but few on investigating urban expansion patterns’ correlation with flood hazard and risk. This study examines the correlation between urban expansion patterns and increased flood hazards. Twelve megacities throughout the world were selected for this study. After exploring the possibility of the megacities having experienced flooding, we qualified their patterns of urban expansion and their potential to influence the elements of flood risk. Our results revealed that edge expansion and leapfrogging patterns had a strong positive correlation with statistical significance with flood hazard, while infilling had a weak positive correlation that showed no statistical significance with flood hazard. Further, we found that the megacities have all experienced devastating floods in the past two decades. Flood risk frameworks need to account for the impact of these patterns, and future urban planning designs and policies need to incorporate flood risk frameworks that account for patterns of urban expansion. Full article
(This article belongs to the Special Issue Big Data and Sustainable Cities: Applications of Geospatial Data in Urban Hazards)
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14 pages, 4430 KiB  
Article
Impact of the Variability of Vegetation, Soil Moisture, and Building Density between City Districts on Land Surface Temperature, Warsaw, Poland
by Karol Przeździecki and Jarosław Zawadzki
Sustainability 2023, 15(2), 1274; https://doi.org/10.3390/su15021274 - 10 Jan 2023
Cited by 7 | Viewed by 2758
Abstract
The temperature of a city’s surface is influenced by many factors, including human-dependent ones that can be shaped, such as the urban density, the condition of urban vegetation, the presence of urban water bodies, and soil moisture. Knowledge on this subject allows for [...] Read more.
The temperature of a city’s surface is influenced by many factors, including human-dependent ones that can be shaped, such as the urban density, the condition of urban vegetation, the presence of urban water bodies, and soil moisture. Knowledge on this subject allows for improving the urban climate through better planning and construction of urban infrastructure and adapting cities to climate change and avoiding deadly heat waves increasingly threatening European cities. So far, mainly the first three factors have been studied particularly well, while there is no in-depth research on the impact of soil moisture on a city’s climate in the literature. This article fills this gap by analyzing the impact of all the abovementioned factors on the temperature of the city’s surface in Warsaw, a large European urban agglomeration, located in a temperate climate zone. Due to the exceptionally large war damage to Warsaw during World War II, rapid postwar reconstruction, and significant expansion, the city is characterized by a very large diversity of urban development density and a much larger amount of green areas compared to most large cities, such as old Western European agglomerations. The scientific novelty of the work is also the fact that the soil moisture content was analyzed using the TVDI/qTVDI (Temperature Vegetation Dryness Index Estimation) indexes obtained by using the so-called triangle methods in NDVI-LST space, based on satellite observations. Such analyses have not been performed so far in urban areas, while in the article, many new results were obtained on this subject. For example, Pearson’s correlation coefficients between LST, NDBI, NDVI, and qTVDI calculated for the entire area of Warsaw on 8 August 2020 were 0.78, 0.45, and −0.35, respectively. Another important aspect of the work is that it includes comparative studies of the impact of the abovementioned factors on the temperature of the Earth’s surface at the level of different city districts. As a result, it was possible to more effectively study the impact of the abovementioned factors on the temperature of the Earth’s surface at the scale of local administrative units. Thanks to the obtained results, urban planners will be able to reduce urban hazard risks caused by climate change. Full article
(This article belongs to the Special Issue Big Data and Sustainable Cities: Applications of Geospatial Data in Urban Hazards)
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24 pages, 5333 KiB  
Article
Comparative Analysis of Three Governance Modes for Resource-Based Urban Sustainability in China Based on Residents’ Perception: An Empirical Study of Pingdingshan City, Henan Province, China
by Xiaofan Li, Yongchun Yang and Qingmin Meng
Sustainability 2021, 13(24), 13658; https://doi.org/10.3390/su132413658 - 10 Dec 2021
Cited by 3 | Viewed by 3069
Abstract
With the continuous improvement and deepened reform of institutional mechanisms in resource-based cities (RBCs) in China, mining areas have become significant urban brownfields with typical geological hazards that cause serious pollution and other disasters like landslides and subsidence. Therefore, the governance of mining [...] Read more.
With the continuous improvement and deepened reform of institutional mechanisms in resource-based cities (RBCs) in China, mining areas have become significant urban brownfields with typical geological hazards that cause serious pollution and other disasters like landslides and subsidence. Therefore, the governance of mining areas becomes a grant challenge for local governments to sustain urban development, and different governance approaches could result in diverse effects on urban sustainability, which have not been studied in current research. In the last twenty years, the governance model of mining areas in RBCs in China can be classified into government governance model (GGM), joint governance model (JGM), and market governance model (MGM). Based on the traditional theories, we innovatively propose a structural measurement and mechanism analysis of mine management efficiency from the perspective of residents’ perceptions by designing structural equation modeling (SEM) for spatial distribution issues. The main objective is to disclose the comparative advantages of three different mine governance models and the prerequisites and considerations for the application of the three governance models in the institutional environment with Chinese characteristics, in addition to the answers of pros and cons of the three types of governance models. We find: (1) the GGM plays a necessary, positive, and effective role in guiding the governance process, and has a high level of resident satisfaction in relation to the public interest of the masses, but a problem is that the favorable groups in the implementation process mainly include the middle and senior officers. (2) The JGM as a transition and supplement to the GGM, and many large serious governance problems that cannot be solved by the GGM are reasonably solved by JGM. Lastly (3), the MGM is very different from the above two governance models, as it just concentrates on the governance of storage, transportation, and public lands within mining areas that are directly relevant to enterprises’ benefits. It indicates the urgent reforming needs of current governance models for efficient governance by integrating government, enterprise, and local communities. Full article
(This article belongs to the Special Issue Big Data and Sustainable Cities: Applications of Geospatial Data in Urban Hazards)
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