Skip to content
Research Article Open access CC BY 4.0

Characterization and Quantification of Urban Expansion and Impact on Urban Planning Practice in Morogoro Municipality, Tanzania

Godwin D. Mshana, B. Mbilinyi, P. H. Msigula

Journal of Scientific Research and Reports · pp. 57–71 · Published 2 Jul 2022

10.9734/jsrr/2022/v28i830539

Abstract

Globally, there are extensive concerns about urban expansion. In response, urban expansion detection and assessing land use and land cover (LULC) changes have become significant methods to support decisions about suitable land resource use. The major concern with urban expansion aside from habitat destruction, is the distribution of human resources and basic needs especially to the community living in the newly settlement patches. This study applied a series of Landsat images to quantify the rate and characterise the pattern of urban expansion and assess  its impact on  urban planning practice over a 30 years period from (1990 to 2020). Change detection was supported by images and supervised classification method. Random Forest (RF) classification method was used to achieve imagery classification, and from classification results were validated by Kappa index of Agreement (KIA) and overall accuracy (OA) methods. To analyze these changes, we used Urban Expansion Intensity Index (UEII) landscape metrics to characterize the changes in the spatial patterns across Morogoro landscape and it’s impact of urban expansion on other types of land cover. The findings indicated that from 1990 to 2010 built up areas have been experiencing an increase of 3.9% to 18.1% respectively,   while non-built up areas have decreased from 96.1% to 81.9% respectively within 30 years period time .Urban planning practice in 1990 to 2020 increased of planned land where by plan before development on land increase from 0.8% to 6.6% while the plan after development increase from 0.2% to 10.8% of the total urban area in the same year. In significant changes in urban expansion and urban planning practice experienced were highly correlated in 2010 to 2020. Based on the outcomes of this study, it is recommended that municipal authorities should consider initiatives in urban planning to reverse the existing trend of urban development in order to recover the sustainability and resilience of the urban situation. The conclusions clarified the spatial pattern of urban change and its influencing factors in Morogoro municipality over the past 30 years and could provide helpful reference for the future urban planning.

Urban expansion urban planning urban expansion intensity index remote sensing and GIS technology

References (26)

  1. 1 Change detection techniques [DOI]
  2. 2 Using a time series of satellite imagery to detect land use and land cover changes in the Atlanta, Georgia metropolitan area [DOI]
  3. 3 Automated cropland mapping of continental Africa using Google Earth Engine cloud computing [DOI]
  4. 4 Africa’s urbanisation: Implications for sustainable development [DOI]
  5. 5 Global Land Cover Mapping: A Review and Uncertainty Analysis [DOI]
  6. 6 Urban land density function: A new method to characterize urban expansion [DOI]
  7. 7 Boundary finding based multi-focus image fusion through multi-scale morphological focus-measure [DOI]
  8. 8 The regulatory framework, unplanned development and urban poverty: Findings from Dar es Salaam, Tanzania [DOI]
  9. 9 Urban Expansion in Ethiopia from 1987 to 2017: Characteristics, Spatial Patterns, and Driving Forces [DOI]
  10. 10 Analysis of Settlement Expansion and Urban Growth Modelling Using Geoinformation for Assessing Potential Impacts of Urbanization on Climate in Abuja City, Nigeria [DOI]
  11. 11 Quality of Crowdsourced Data on Urban Morphology—The Human Influence Experiment (HUMINEX) [DOI]
  12. 12 On the absurdity of rapid urbanization: Spatio-temporal analysis of land-use changes in Morogoro, Tanzania [DOI]
  13. 13 Kumasi: Towards a sustainable and resilient cityscape [DOI]
  14. 14 Quantifying the spatio-temporal patterns of settlement growth in a metropolitan region of Ghana [DOI]
  15. 15 Geospatial scenario based modelling of urban and agricultural intrusions in Ramsar wetland Deepor Beel in Northeast India using a multi-layer perceptron neural network [DOI]
  16. 16 Landscape as a continuum: an examination of the urban landscape structures and dynamics of Indianapolis City, 1991–2000, by using satellite images [DOI]
  17. 17 Landscape Transformations in Rapidly Developing Peri-urban Areas of Accra, Ghana: Results of 30 years [DOI]
  18. 18 Spatial Expansion and Sprawl Quantitative Analysis of Mountain City Built-Up Area [DOI]
  19. 19 Remote sensing of urban growth and landscape pattern changes in response to the expansion of Chongming Island in Shanghai, China [DOI]
  20. 20 New indices to capture the evolution characteristics of urban expansion structure and form [DOI]
  21. 21 Expert-based ex-ante assessments of potential social, ecological, and economic impacts of upgrading strategies for improving food security in rural Tanzania using the ScalA-FS approach [DOI]
  22. 22 URBAN EXPANSION: A GEO-SPATIAL APPROACH FOR TEMPORAL MONITORING OF LOSS OF AGRICULTURAL LAND [DOI]
  23. 23 Comparison on Multi-Scale Urban Expansion Derived from Nightlight Imagery between China and India [DOI]
  24. 24 Mapping urban growth of the capital city of Honduras from Landsat data using the impervious surface fraction algorithm [DOI]
  25. 25 Analysis of urban expansion and the driving forces in eastern coastal region of China [DOI]
  26. 26 International Journal of Remote Sensing [DOI]

Cited by 6

Integrating random forest and morphological spatial pattern analysis for predicting future land surface temperature dynamics: insights from urbanizing Saudi Arabia

Ahmed Ali A. Shohan, Hoang Thi Hang, Ahmed Ali Bindajam · Geocarto International · 2024

Quantification of trade-off between urbanization and natural resources loss and recovery: a study of NCT of Delhi

Ahmed Ali Bindajam, Javed Mallick, Mohd Waseem Naikoo · Theoretical and Applied Climatology · 2025

Showing 2 of 6 known citations — external sources report more than can currently be individually listed.

Related research

Article metrics

Real usage data collected on this platform.

49

Page views

0

PDF downloads

43

Outbound clicks

6

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.