Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
6.2
3.4
Journals
IJGI
Special Issues
Urban Data Analytics for Investigating Challenges and Risks of Urbanization...
share announcement

Urban Data Analytics for Investigating Challenges and Risks of Urbanization and Metropolization

A special issue of ISPRS International Journal of Geo-Information (ISSN 2220-9964).

Deadline for manuscript submissions: closed (30 May 2021) | Viewed by 13259

Special Issue Editors

Dr. Martin Behnisch

E-Mail Website
Guest Editor
Leibniz Institute of Ecological Urban and Regional Development, Dresden, Saxony, Germany
Interests: spatial analysis; geographic knowledge discovery; urban data mining; spatial science; quantitative geography; multivariate data analysis; research on building stocks and land consumption
Special Issues, Collections and Topics in MDPI journals
Dr. Tobias Krüger

E-Mail Website
Guest Editor
Leibniz Institute of Ecological Urban and Regional Development, Dresden, Saxony, Germany
Interests: cartography; spatia data processing; monitoring land use change and land use cover

Special Issue Information

Dear Colleagues,

This Special Issue aims to stimulate discussions on recent trends in analyzing and modeling issues of urbanization and metropolization. It is initiated in the course of the 3rd International Land Use Symposium (ILUS, http://ilus2019.ioer.info/) with the central theme of “ Land use changes: Trends and projections”, organized by German and French research organizations, including the Leibniz Institute of Ecological Urban and Regional development (IOER, Dresden), the Laboratoire Interdisciplinaire des Energies de Demain (LIED, University of Paris Diderot), the Pôle Image (University of Paris Diderot), and the Institut National de l’Information Géographique et Forestière (IGN, Saint-Mandé). The symposium of the ILUS conference series was held in Paris from December 4–6, 2019. The biennial symposium brought together leading academics in the fields of spatial sciences, environmental studies, geography, cartography, geographic information science, urban planning, and architecture.

The Special Issue editors welcome the submission of original contributions with the goal of advancing our understanding of recent urbanization, and metropolization trends. Model-driven analysis and visualization of these processes provide basic information for good and meaningful decisions. The demands on the quality and availability of urban data and information services are constantly increasing, and innovative geoinformation technologies and the processing of large amounts of data (Big Data) lead to new challenges. Contributions may be theoretical, methodological, or applied in nature. Research may address, but is not limited to, the following topics in the context of urbanization, and metropolization:

  • Causes and mitigation of urban heat island effects;
  • Hazard and risk modeling;
  • Urban planning and climate change adaptation;
  • Smart city models and energy efficiency;
  • Urban energy transition;
  • Land use and transport management;
  • Measuring socio-spatial inequalities;
  • Assessment and strategies to reduce light pollution;
  • Benefits of green and blue infrastructure;
  • Urban metabolism;
  • Trajectories of cities;
  • Cities as complex systems.

Dr. Martin Behnisch
Dr. Tobias Krüger
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. ISPRS International Journal of Geo-Information 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 1700 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.

Published Papers (3 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

26 pages, 73882 KiB  
Article
Identification of Shrinking Cities on the Main Island of Taiwan Based on Census Data and Population Registers: A Spatial Analysis
by Di Hu
ISPRS Int. J. Geo-Inf. 2021, 10(10), 694; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10100694 - 14 Oct 2021
Cited by 4 | Viewed by 4764
Abstract
At the end of the 20th century, the phenomenon of urban shrinkage received widespread attention, with population decline as its core characteristic. In 2020, the Taiwanese population had negative growth and faced a low fertility rate and an aging population. This study used [...] Read more.
At the end of the 20th century, the phenomenon of urban shrinkage received widespread attention, with population decline as its core characteristic. In 2020, the Taiwanese population had negative growth and faced a low fertility rate and an aging population. This study used exploratory spatial data analysis to identify shrinking cities in Taiwan based on census data and population registers. The results indicated that Taiwan has 11 shrinking counties and 202 shrinking towns. Urban shrinkage occurred in the 1980s and continued from the suburbanization stage to the re-urbanization stage. Five types of spatial patterns in the 11 shrinking counties were observed. In the majority of the shrinking counties, towns with high population densities were unable to avoid shrinkage. A global spatial autocorrelation analysis indicated that shrinkage and non-shrinkage have become increasingly apparent at the town level since 2005. A local spatial autocorrelation analysis indicates that the spatial clustering of towns with population growth or decline from 2000 to 2020 has changed. Based on each town’s development, a two-step cluster analysis was conducted in which all towns were divided into four categories. Shrinking towns exist in each category, but with a different proportion. Based on the results of two-step cluster analysis combined with spatial analysis, this study discovered that both urbanization and suburbanization cause shrinkage in Taiwan, but the affected localities are distinct. For most shrinking counties, their spatial model indicates a relationship between shrinking and the urbanization of their towns. Keelung City and Chiayi City have the most potential to reverse the shrinkage. This study helps authorities better manage growth and implement regional revitalization. Full article
(This article belongs to the Special Issue Urban Data Analytics for Investigating Challenges and Risks of Urbanization and Metropolization)
►▼ Show Figures

Figure 1

17 pages, 41480 KiB  
Article
Characterizing the Up-To-Date Land-Use and Land-Cover Change in Xiong’an New Area from 2017 to 2020 Using the Multi-Temporal Sentinel-2 Images on Google Earth Engine
by Jiansong Luo, Xinwen Ma, Qifeng Chu, Min Xie and Yujia Cao
ISPRS Int. J. Geo-Inf. 2021, 10(7), 464; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10070464 - 07 Jul 2021
Cited by 13 | Viewed by 3098
Abstract
Land use and land cover (LULC) are fundamental units of human activities. Therefore, it is of significance to accurately and in a timely manner obtain the LULC maps where dramatic LULC changes are undergoing. Since 2017 April, a new state-level area, Xiong’an New [...] Read more.
Land use and land cover (LULC) are fundamental units of human activities. Therefore, it is of significance to accurately and in a timely manner obtain the LULC maps where dramatic LULC changes are undergoing. Since 2017 April, a new state-level area, Xiong’an New Area, was established in China. In order to better characterize the LULC changes in Xiong’an New Area, this study makes full use of the multi-temporal 10-m Sentinel-2 images, the cloud-computing Google Earth Engine (GEE) platform, and the powerful classification capability of random forest (RF) models to generate the continuous LULC maps from 2017 to 2020. To do so, a novel multiple RF-based classification framework is adopted by outputting the classification probability based on each monthly composite and aggregating the multiple probability maps to generate the final classification map. Based on the obtained LULC maps, this study analyzes the spatio-temporal changes of LULC types in the last four years and the different change patterns in three counties. Experimental results indicate that the derived LULC maps achieve high accuracy for each year, with the overall accuracy and Kappa values no less than 0.95. It is also found that the changed areas account for nearly 36%, and the dry farmland, impervious surface, and other land-cover types have changed dramatically and present varying change patterns in three counties, which might be caused by the latest planning of Xiong’an New Area. The obtained 10-m four-year LULC maps in this study are supposed to provide some valuable information on the monitoring and understanding of what kinds of LULC changes have taken place in Xiong’an New Area. Full article
(This article belongs to the Special Issue Urban Data Analytics for Investigating Challenges and Risks of Urbanization and Metropolization)
►▼ Show Figures

Figure 1

25 pages, 24573 KiB  
Article
Spatiotemporal Influence of Land Use/Land Cover Change Dynamics on Surface Urban Heat Island: A Case Study of Abuja Metropolis, Nigeria
by Auwalu Faisal Koko, Wu Yue, Ghali Abdullahi Abubakar, Akram Ahmed Noman Alabsi and Roknisadeh Hamed
ISPRS Int. J. Geo-Inf. 2021, 10(5), 272; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10050272 - 23 Apr 2021
Cited by 20 | Viewed by 4354
Abstract
Rapid urbanization in cities and urban centers has recently contributed to notable land use/land cover (LULC) changes, affecting both the climate and environment. Therefore, this study seeks to analyze changes in LULC and its spatiotemporal influence on the surface urban heat islands (UHI) [...] Read more.
Rapid urbanization in cities and urban centers has recently contributed to notable land use/land cover (LULC) changes, affecting both the climate and environment. Therefore, this study seeks to analyze changes in LULC and its spatiotemporal influence on the surface urban heat islands (UHI) in Abuja metropolis, Nigeria. To achieve this, we employed Multi-temporal Landsat data to monitor the study area’s LULC pattern and land surface temperature (LST) over the last 29 years. The study then analyzed the relationship between LULC, LST, and other vital spectral indices comprising NDVI and NDBI using correlation analysis. The results revealed a significant urban expansion with the transformation of 358.3 sq. km of natural surface into built-up areas. It further showed a considerable increase in the mean LST of Abuja metropolis from 30.65 °C in 1990 to 32.69 °C in 2019, with a notable increase of 2.53 °C between 2009 and 2019. The results also indicated an inverse relationship between LST and NDVI and a positive connection between LST and NDBI. This implies that urban expansion and vegetation decrease influences the development of surface UHI through increased LST. Therefore, the study’s findings will significantly help urban-planners and decision-makers implement sustainable land-use strategies and management for the city. Full article
(This article belongs to the Special Issue Urban Data Analytics for Investigating Challenges and Risks of Urbanization and Metropolization)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-3
Back to TopTop