skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Urban sprawl and its impact on sustainable urban development: a combination of remote sensing and social media data

Geo-spatial information science, 2021-04, Vol.24 (2), p.241-255 [Peer Reviewed Journal]

2020 Wuhan University. Published by Informa UK Limited, trading as Taylor & Francis Group. 2020 ;2020 Wuhan University. Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1009-5020 ;EISSN: 1993-5153 ;DOI: 10.1080/10095020.2020.1787800

Full text available

Citations Cited by
  • Title:
    Urban sprawl and its impact on sustainable urban development: a combination of remote sensing and social media data
  • Author: Shao, Zhenfeng ; Sumari, Neema S. ; Portnov, Aleksei ; Ujoh, Fanan ; Musakwa, Walter ; Mandela, Paulo J.
  • Subjects: Application programming interface ; Biodiversity ; Carbon sequestration ; City centres ; Digital media ; ecosystem services ; Grasslands ; Human influences ; Image classification ; Kernel functions ; Land cover ; Land use ; Morogoro ; Remote sensing ; social media data ; Social networks ; Sustainable development ; sustainable urban development ; Tanzania ; Twitter ; Urban development ; Urban planning ; Urbanization
  • Is Part Of: Geo-spatial information science, 2021-04, Vol.24 (2), p.241-255
  • Description: Urbanization is one of the most impactful human activities across the world today affecting the quality of urban life and its sustainable development. Urbanization in Africa is occurring at an unprecedented rate and it threatens the attainment of Sustainable Development Goals (SDGs). Urban sprawl has resulted in unsustainable urban development patterns from social, environmental, and economic perspectives. This study is among the first examples of research in Africa to combine remote sensing data with social media data to determine urban sprawl from 2011 to 2017 in Morogoro urban municipality, Tanzania. Random Forest (RF) method was applied to accomplish imagery classification and location-based social media (Twitter usage) data were obtained through a Twitter Application Programming Interface (API). Morogoro urban municipality was classified into built-up, vegetation, agriculture, and water land cover classes while the classification results were validated by the generation of 480 random points. Using the Kernel function, the study measured the location of Twitter users within a 1 km buffer from the center of the city. The results indicate that, expansion of the city (built-up land use), which is primarily driven by population expansion, has negative impacts on ecosystem services because pristine grasslands and forests which provide essential ecosystem services such as carbon sequestration and support for biodiversity have been replaced by built-up land cover. In addition, social media usage data suggest that there is the concentration of Twitter usage within the city center while Twitter usage declines away from the city center with significant spatial and numerical increase in Twitter usage in the study area. The outcome of the study suggests that the combination of remote sensing, social sensing, and population data were useful as a proxy/inference for interpreting urban sprawl and status of access to urban services and infrastructure in Morogoro, and Africa city where data for urban planning is often unavailable, inaccurate, or stale.
  • Publisher: Wuhan: Taylor & Francis
  • Language: English
  • Identifier: ISSN: 1009-5020
    EISSN: 1993-5153
    DOI: 10.1080/10095020.2020.1787800
  • Source: IngentaConnect Open Access
    Taylor & Francis Open Access
    ProQuest Central
    DOAJ Directory of Open Access Journals
Back to results list
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait