Next Article in Journal
Performing Hybridity or Deflecting Islamophobia? Adaptable Identity Management amongst Young British Pakistani Muslims
Previous Article in Journal
State Fragility, Social Contracts and the Role of Social Protection: Perspectives from the Middle East and North Africa (MENA) Region
Article

Urban Boundary Demarcation—An iCN Model Approach

Urban Simulation Lab, Department of Town & Country Planning, University of Moratuwa, Moratuwa 10400, Sri Lanka
*
Author to whom correspondence should be addressed.
Academic Editor: Stephen M. Wheeler
Soc. Sci. 2021, 10(12), 448; https://doi.org/10.3390/socsci10120448
Received: 10 July 2021 / Revised: 20 September 2021 / Accepted: 21 September 2021 / Published: 23 November 2021
(This article belongs to the Section Community and Urban Sociology)
During the last two decades, determining the urban boundaries of cities has become one of the major concerns in the urban and regional planning subject domains. Many scholars have tried to model the change of urban boundaries as it helps with sustainable development, population projections and social policy making, but such efforts have been futile, owing to the complex nature of urbanization and the theoretical and technical limitations of the proposed applications. Hence, many countries continue to rely on the administrative boundary demarcation, which rarely represent the actual urbanizing pattern. In such context, this study utilized the “Intersection-Based Clustered Network Model—(iCN Model)” to determine the urban boundaries of cities and selected Sri Lanka as the study area and considered few cities to test the model empirically, with satellite imagery classified urban boundaries. The findings of the study depict that the iCN Model is capable of capturing the complex and dynamic socioeconomic interdependencies of cities via the transportation network configurations. Therefore, the proposed approach is an excellent proxy to derive the urban boundaries of cities, which correspond with the same, derived by the satellite imageries. The proposed model is entirely based on open-source GIS applications and is free to implement and modify using the methods described in this paper. View Full-Text
Keywords: cities; urban boundary; population; network analysis; transportation network; urban agglomeration; spatial analysis; urban simulation; fractal geometry; percolation; urban planning cities; urban boundary; population; network analysis; transportation network; urban agglomeration; spatial analysis; urban simulation; fractal geometry; percolation; urban planning
Show Figures

Figure 1

MDPI and ACS Style

Jayasinghe, A.; Kalpana, L.D.C.H.N.; Abenayake, C.C.; Mahanama, P.K.S. Urban Boundary Demarcation—An iCN Model Approach. Soc. Sci. 2021, 10, 448. https://doi.org/10.3390/socsci10120448

AMA Style

Jayasinghe A, Kalpana LDCHN, Abenayake CC, Mahanama PKS. Urban Boundary Demarcation—An iCN Model Approach. Social Sciences. 2021; 10(12):448. https://doi.org/10.3390/socsci10120448

Chicago/Turabian Style

Jayasinghe, Amila, Lindamullage D.C.H.N. Kalpana, Charithmali C. Abenayake, and Pelpola K.S. Mahanama. 2021. "Urban Boundary Demarcation—An iCN Model Approach" Social Sciences 10, no. 12: 448. https://doi.org/10.3390/socsci10120448

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop