Skip to main content

Advertisement

Log in

Modelling differential urban growth dynamics for growth decentralisation: a study on Tiruchirappalli metropolitan and sub-tier towns, India

  • Article
  • Published:
Asia-Pacific Journal of Regional Science Aims and scope Submit manuscript

Abstract

Urbanisation requires careful planning and monitoring to overcome challenges like overpopulation, inadequate housing, and sanitation. Significant investments are necessary to reorganise urban areas or promote sub-tier urban centres as an approach of growth decentralisation. This study examined urban growth dynamics in Tiruchirappalli and surrounding sub-tier urban centres within a 40-km radius between 1996, 2008, and 2020. Researchers produced highly accurate land use/cover maps using unsupervised classification techniques and simulated these maps using a CA–Markov model powered by an Artificial Neural Network (ANN) that uses Multi-Layer Perceptron (MLP) algorithm to predict land use changes for the years 2035 and 2050. Statistical methods have quantified land use/cover change rate, growth deviation, and degree of freedom/diversity to explain urban built-up growth dynamics. The CA-Markov simulations show that urban built-up areas are likely to remain the major land use for potential growth, with 174.9 sq. km and 209.3 sq. km in 2035 and 2050, respectively. Urban built-up was the leading class in terms of growth between 1996–2008 and 2008–2020, and growth deviation was high in multiple zones of Tiruchirappalli and Thiruverumbur, indicating significant variation between observed and expected growth rates. The degree of disparity showed a decreasing trend between 1996–2008 and 2008–2020, with higher disparity values recorded in Tiruchirappalli and Thiruverumbur than other urban centres due to the global recession and fiscal policies. At the current rate of growth, Tiruchirappalli urban may experience a significant loss of agricultural land and environmental damage from urban pollutants in surrounding water bodies and fertile lands. The study emphasizes mutual growth of sub-tier urban centres, as suggested by the Indian planning body (NITI Aayog), is a significant intervention to address the negative impacts of urban spatial growth.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

Data availability

The datasets generated/analyzed during the study are available from the corresponding author on request.

References

Download references

Acknowledgements

The study has been carried out with the support from the University Grants Commission Special Assistance Programme (UGC-SAP) and the Indian Council for Social Science Research (ICSSR) (Award No: RFD/2019-20/GEN/GEOG/287). We also thank the Department of Geography, Bharathidasan University and United States Geological Survey (USGS) online portal for providing Toposheets and Landsat satellite imageries for the study.

Funding

No funding was received for conducting this study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to K. Prakash.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

The study has not required any ethical approvals.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Prakash, K., Jegankumar, R. & Libina, R.S. Modelling differential urban growth dynamics for growth decentralisation: a study on Tiruchirappalli metropolitan and sub-tier towns, India. Asia-Pac J Reg Sci 7, 1191–1221 (2023). https://doi.org/10.1007/s41685-023-00301-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s41685-023-00301-x

Keywords

Navigation