Abstract
Urbanization is a continuous socio-spatial process which generates territorial dynamics. The rate, pace and magnitude of urbanization differs from one urban area to another. The current study is an attempt to assess level of urbanization through exploring the direction and magnitude of spatial and population growth and foresee future urban growth of eighteen municipalities in Kathmandu Valley based on land cover/ use data from 2001 to 2021. The study was carried out in three steps: i) spatio-temporal change in land cover land use, ii) population growth and migration trend, and iii) built-up growth modeling using Cellular-Automata-Markov method with thirteen input factors. The findings show that built-up growth is linear which increased from 9% in 2001 to 34.6% in 2021. The calculated correlation coefficient value for migration and population growth rate between 2011 and 2021 indicate a statistically significant relationship. Temporal variation of migrated population adhered to spatial variation. The growth modeling exhibit built-up area increase by 40% in 2031 reaching to 67% in 2051. Territorial dynamics of urbanization is prominent. Among oldest and most urbanized units, Kathmandu and Bhaktapur are entering the counter-urbanization stage whereas Madhyapur-thimi, Lalitpur and Kirtipur are sub-urbanizing. Remaining thirteen are urbanizing at different level. Out of 18 municipalities, ratio between land consumption (LCR) rate and population growth rate (PGR) is increasing in 10 municipalities while decreasing in 6 and negative in 2 municipalities (Kathmandu Metropolitan and Bhaktapur). Such variation urges local government to regulate efficient land use planning by promoting compact densities in new development areas. An imprint of increasing LCR and LCRPGR contest the urban sustainability with decreasing compactness and low densification. The study concludes that the apparent variation in level of urbanization together with imminent territorial dynamics points to differential policy and planning requirement at micro spatial unit.
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References
Adamiak, C. (2016). Cottage sprawl: Spatial development of second homes in Bory Tucholskie, Poland. Landscape and Urban Planning, 147, 96–106. https://doi.org/10.1016/j.landurbplan.2015.11.003
Angel, S., Parent, J., Civco, D. L., Blei, A., & Potere, D. (2011). The dimensions of global urban expansion: Estimates and projections for all countries, 2000–2050. Progress in Planning, 75(2), 53–107. https://doi.org/10.1016/j.progress.2011.04.001
Barreira-González, P., Gómez-Delgado, M., & Aguilera-Benavente, F. (2015). From raster to vector cellular automata models: A new approach to simulate urban growth with the help of graph theory. Computers, Environment and Urban Systems, 54, 119–131. https://doi.org/10.1016/j.compenvurbsys.2015.07.004
Bibri, S. E., Krogstie, J., & Kärrholm, M. (2020). Compact city planning and development: Emerging practices and strategies for achieving the goals of sustainability. Developments in the Built Environment, 4, 100021. https://doi.org/10.1016/j.dibe.2020.100021
CBS. (2011). National population and housing census 2011: Population projection 2011 – 2031. NPHC (Vol. 8). Government of Nepal, National Planning Commission Secretariat, Central Bureau of Statistics. Kathmandu Nepal. http://cbs.gov.np/wpontent/upLoads/2018/12/PopulationProjection2011-2031.pdf
CBS. (2019). National Economic Census 2018: National Report. Government of Nepal, National Planning Commission Secretariat, Central Bureau of Statistics. Kathmandu Nepal. http://cbs.gov.np/wpontent/upLoads/2018/12/PopulationProjection2011-2031.pdf
Chakraborty, A., Sikder, S., Omrani, H., & Teller, J. (2022). Cellular automata in modeling and predicting urban densification: Revisiting the literature since 1971. Land, 11(7), 1113. https://doi.org/10.1177/0309132519895305
Champion, T. (2001). Urbanization, suburbanization, counterurbanization and reurbanization (Vol. 160). Publications Office of the European Union, Luxembourg.
Cohen, B. (2004). Urban Growth in Develo** Countries: A Review of Current Trends and a Caution Regarding Existing Forecasts. World Development, 32(1), 23–51. https://doi.org/10.1016/j.worlddev.2003.04.008
Dadhich, A. P., Goyal, R., & Dadhich, P. N. (2017). An assessment of urban space expansion and its impact on air quality using geospatial approach. Journal of Urban and Environmental Engineering, 11(1), 79–87. https://doi.org/10.4090/juee.2017.v11n1.079087
Devkota, K. (Ed.). (2018). Challenges of inclusive urbanization in the face of political transition in Nepal. IGI Global: IGI Global.
Docampo, M. G. (2014). Theories of urban dynamics. International Journal of Population Research, 2014, 11. https://doi.org/10.1155/2014/494871
Eastman, J. R. (2009). IDRISI Taiga Guide to GIS and Image Processing. Clark Labs for Cartographic Technology and Geographic Analysis, Clark University, Worcester.
ESCAP U. (2000). State of the Environment in Asia and the Pacific 2000. United Nations.
Farrell, K. (2017). The Rapid Urban Growth Triad: A New Conceptual Framework for Examining the Urban Transition in Develo** Countries. Sustainability, 9(8), 1407. https://doi.org/10.3390/su9081407
Frenkel, A., & Ashkenazi, M. (2008). Measuring urban sprawl: How can we deal with it? Environment and Planning b: Urban Analytics and City Science, 35(1), 56–79. https://doi.org/10.1068/b3215
Gallotti, R., Sacco, P., & De Domenico, M. J. C. (2021). Complex Urban Systems: Challenges and Integrated Solutions for the Sustainability and Resilience of Cities. Complexity, 2021, 1–15.
Geyer, H. S., & Kontuly, T. (1993). A theoretical foundation for the concept of differential urbanization. International Regional Science Review, 15(2), 157–177. https://doi.org/10.1177/01600176930150020
Ghosh, P., Mukhopadhyay, A., Chanda, A., Mondal, P., Akhand, A., Mukherjee, S., . . . Ghosh, T. (2017). Application of Cellular automata and Markov-chain model in geospatial environmental modeling-A review. Remote Sensing Applications: Society and Environment, 5, 64–77. https://doi.org/10.1016/j.rsase.2017.01.005
Haberl, H., Mbow, C., Deng, X., Irwin, E. G., Kerr, S., Kuemmerle, T., . . . Turner, B. (Eds.). (2014). Finite land resources and competition (Vol. 14). MIT Press, Cambridge, Massachusetts
Humer, A., Cardoso, R. V., & Meijers, E. (2022). Breaking with the spatial-cycle model: The shift towards ‘syncurbanization’in polycentric urban regions. Regional Studies, 56(1), 21–35. https://doi.org/10.1080/00343404.2021.1969008
Ishtiaque, A., Shrestha, M., & Chhetri, N. (2017). Rapid urban growth in the Kathmandu Valley, Nepal: Monitoring land use land cover dynamics of a Himalayan City with Landsat Imageries. Environments, 4(4), 72. https://doi.org/10.3390/environments4040072
Jawaid, M., Pipralia, S., & Kumar, A. (2018). Review of environment responsiveness of building regulations in Jaipur. Journal of Urban Management, 7(2), 111–120. https://doi.org/10.1016/j.jum.2018.06.001
Karna, B. K., Mandal, U. K., & Bhardwaj, A. (2013). Urban sprawl modeling using RS and GIS technique in Kirtipur municipality. Journal on Geoinformatics, Nepal, 12, 50–56. https://doi.org/10.3126/njg.v12i0.9073
Klaassen, L., & Scimemi, G. (1981). Theoretical issues in urban dynamics. In L. Klaassen, W. T. M. Molle, & J. H. P. Paelinck (Eds.), Dynamics of urban development (pp. 8–28). Aldershot, UK: Gower.
KVDA. ( 2016). Vision 2035 and beyond: 20 years’ strategic development master plan (2015 - 2035) for Kathmandu Valley. Kathmandu Valley Development Authority (KVDA), Ministry of Urban Development, Kathmandu, Nepal. https://kvda.gov.np/uploads/form/Final_Urban%20Growth%20Trend.pdf
Li, S., **, B., Wei, X., Jiang, Y., & Wang, J. (2015). Using CA-Markov Model to Model the spatiotemporal change of land use/cover in Fuxian Lake for decision support. ISPRS Annals of the Photogrammetry, Remote Sensing Spatial Information Sciences, 2, 163–168. https://doi.org/10.5194/isprsannals-II-4-W2-163-2015
Liu, Y., Batty, M., Wang, S., & Corcoran, J. (2021). Modelling urban change with cellular automata: Contemporary issues and future research directions. Progress in Human Geography, 45(1), 3–24. https://doi.org/10.1177/0309132519895305
Maerivoet, S., & De Moor, B. (2005). Cellular automata models of road traffic. Physics Reports, 419(1), 1–64. https://doi.org/10.1016/j.physrep.2005.08.005
Mahtta, R., Fragkias, M., Güneralp, B., Mahendra, A., Reba, M., Wentz, E. A., & Seto, K. C. (2022). Urban land expansion: The role of population and economic growth for 300+ cities. Urban Sustainability, 2(1), 5. https://doi.org/10.1038/s42949-022-00048-y
Marcotullio, P. J., & Sorensen, A. (2023). Future urban worlds: Theories, models, scenarios, and observations of urban spatial expansion. Frontiers in Built Environment, 9, 1–7. https://doi.org/10.3389/fbuil.2023.1194813
Menashe-Oren, A., & Stecklov, G. (2018). Rural/urban population age and sex composition in sub-Saharan Africa 1980–2015. Population and Development Review, 44(1), 7–35.
Mesta, C., Cremen, G., & Galasso, C. (2022). Urban growth modelling and social vulnerability assessment for a hazardous Kathmandu Valley. Scientific Reports, 12(1), 6152. https://doi.org/10.1038/s41598-022-09347-x
Mondal, M. S., Sharma, N., Kappas, M., & Garg, P. K. J. T. I. A. o. t. P., Remote Sensing. (2020). Ca markov modeling of land use land cover change predictions and effect of numerical iterations, image interval (time steps) on prediction results. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 43, 713–720https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-713-2020
MoUD. (2017). National urban development strategy (NUDS), 2017: Part A Main Document. Kathmandu, Nepal: Government of Nepal, Ministry of Urban Development, Urban Development and Physical Planning Division. https://www.moud.gov.np/storage/listies/July2019/NUDS_PART_A.pdf
Muzzini, E., & Aparicio, G. (2013). Urban growth and spatial transition in Nepal: An initial assessment. World Bank Publications.
NSO. (2023). National population and housing census 2021: National report. Kathmandu, Nepal: Government of Nepal, Office of the Prime Minister and Council of Ministers, National Statistical Office. https://censusnepal.cbs.gov.np/results/files/result-folder/National%20Report_English.pdf
Pacione, M. (2009). Urban geography: A global perspective (3rd ed.). Oxen, UK: Routledge.
Parr, J. B. (2012). The spatial-cycle model (SCM) revisited. Regional Studies, 46(2), 217–228. https://doi.org/10.1080/00343404.2011.558895
Pontius, R. G. (2002). Statistical methods to partition effects of quantity and location during comparison of categorical maps at multiple resolutions. Photogrammetric Engineering and Remote Sensing, 68(10), 1041–1049.
Reia, S. M., Rao, P. S. C., & Ukkusuri, S. V. (2022). Modeling the dynamics and spatial heterogeneity of city growth. Urban Sustainability, 2(1), 31. https://doi.org/10.1038/s42949-022-00075-9
Saikat, S., & Islam, K. (2019). Modeling land use land cover (LULC) change using Cellular Automata-Markov Model: A case of Khulna City, Bangladesh. Jahangirnagar University Planning Review, 17, 17–29.
Sarif, M. O., Rimal, B., & Stork, N. E. (2020). Assessment of Changes in Land Use/Land Cover and Land Surface Temperatures and Their Impact on Surface Urban Heat Island Phenomena in the Kathmandu Valley (1988–2018). ISPRS International Journal of Geo-Information, 9(12), 726. https://doi.org/10.3390/ijgi9120726
Scheuer, S., Haase, D., & Volk, M. (2016). On the Nexus of the Spatial Dynamics of Global Urbanization and the Age of the City. PLoS ONE, 11(8), e0160471. https://doi.org/10.1371/journal.pone.0160471
Schiavina, M., Melchiorri, M., Freire, S., Florio, P., Ehrlich, D., Tommasi, P., . . . Kemper, T. J. H. I. (2022). Land use efficiency of functional urban areas: Global pattern and evolution of development trajectories. Habitat International, 123, 102543. https://doi.org/10.1016/j.habitatint.2022.102543
Seto, K. C., Sánchez-Rodríguez, R., & Fragkias, M. (2010). The new geography of contemporary urbanization and the environment. Annual Review of Environment and Resources, 35, 167–194. https://doi.org/10.1146/annurev-environ-100809-125336.2221865
Sharma, M., & Abhay, R. K. (2022). Urban growth and quality of life: Inter-district and intra-district analysis of housing in NCT-Delhi, 2001–2011–2020. GeoJournal, 87(Suppl 4), 797–819. https://doi.org/10.1007/s10708-021-10570-8
Sharma, L., Pandey, P. C., & Nathawat, M. (2012). Assessment of land consumption rate with urban dynamics change using geospatial techniques. Journal of Land Use Science, 7(2), 135–148. https://doi.org/10.1080/1747423X.2010.537790
Sharma, G. K., & Ghuge, V. (2023). Assessment of urban growth dynamics in eight Indian metropolitan cities using spatial metrics. Journal of Spatial Science. https://doi.org/10.1080/14498596.2023.2221865
Sharma, P. (2003). Urbanization and development. In: Population Monograph of Nepal (Vol. 3, pp. 375–412). Government of Nepal, National Planning Commission, Central Bureau of Statistics. Kathmandu Nepal, Kathmandu, Nepal. https://docs.censusnepal.cbs.gov.np/Documents/12a7daec-ca34-417b-ab81-d7a9f6f89a36.pdf
Shrestha, S. (2017). Spatial Structure of Urban Landuse in Kathmandu Valley. Journal on Geoinformatics, Nepal, 14, 41–45.
Subedi, B. (2010). Urbanization in Nepal: Changing definition, growth and spatial patterns. Geographic Base, 1, 1–14.
Sun, L., Chen, J., Li, Q., & Huang, D. (2020). Dramatic uneven urbanization of large cities throughout the world in recent decades. Nature Communications, 11(1), 5366. https://doi.org/10.1038/s41467-020-19158-1
Suwal, B. R. (2014). Internal migration in Nepal. Population monograph of Nepal (Vol. I, pp. 241–276). Kathmandu: Central Bureau of Statistics (CBS).
Thapa, R. B., & Murayama, Y. J. L. (2012). Scenario based urban growth allocation in Kathmandu Valley. Nepal. Landscape Urban Planning, 105(1–2), 140–148. https://doi.org/10.1016/j.landurbplan.2011.12.007
Timsina, N. P., Shrestha, A., Poudel, D. P., & Upadhyaya, R. (2020). Trend of urban growth in Nepal with a focus in Kathmandu Valley: A review of processes and drivers of change. Tomorrow’s Cities Working Paper 001. Edinburgh. https://doi.org/10.7488/era/722
Tobler, W. R. (1970). A computer movie simulating urban growth in the Detroit region. Economic Geography, 46(sup1), 234–240. https://doi.org/10.2307/143141
UNDESA. (2023). World population prospects 2022: Summary of results. United Nations Department of Economic and Social Affairs, Population Division.
UN. (2023). The Sustainable Development Goals Report 2023: Special Edition. UNDESA, New York, NY: United Nations Department of Economic and Social Affairs. https://desapublications.un.org/publications/sustainable-development-goals-report-2023-special-edition
UN-Habitat. (2022). World Cities Report 2022: Envisaging the future of cities. Nairobi, Kenya: United Nations Human Settlements Programme, UN-HABITAT. https://unhabitat.org/sites/default/files/2022/06/wcr_2022.pdf
UN-Habitat. (2018). Indicator 11.1. 1 Training Module: Adequate Housing and Slum Upgrading. Nairobi, Kenya: United Nations Human Settlement Programme, UN-HABITAT.
van den Berg, L., Klaasseen, L., & Meer, v. d. (Eds.). (1987). Urban revival? Gower.
Weng, Q. (2002). Land use change analysis in the Zhujiang Delta of China using satellite remote sensing, GIS and stochastic modelling. Journal of Environmental Management, 64(3), 273–284. https://doi.org/10.1006/jema.2001.0509
Zhang, Z., Hörmann, G., Huang, J., & Fohrer, N. (2023). A Random Forest-Based CA-Markov Model to Examine the Dynamics of Land Use/Cover Change Aided with Remote Sensing and GIS. Remote Sensing, 15(8), 2128. https://doi.org/10.3390/rs15082128
Zoeteman, K., Mulder, R., Smeets, R., & Wentink, C. (2016). Toward Sustainable EU Cities: A Quantitative Benchmark Study of 114 European and 31 Dutch Cities (16.142). Tilburg University, Telos. https://pure.uvt.nl/ws/portalfiles/portal/13611754/16142_85537_UvT_EU_Study_3_gecorrigeerd_def_RM_1_.pdf.
Acknowlwdgement
The authors would like to acknowledge research funding for Research Diroctorate, Tribhuvan University, Nepal. We also extend our gratitude to the editor and reviewers for their valuable time.
Funding
This research was funded by Tribhuvan University, Office of the Rector, Research Directorate, National Priority Area Research, Excellence Research Grant (ERG), (Grant N: TU-NPAR-077/78-ERG-05).
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Conceptualization: Shobha Shrestha. Methodology: Shobha Shrestha, Bikash Kumar Karna. Investigation: Shobha Shrestha, Bikash Kumar Karna, Prem Sagar Chapagain, Kedar Dahal, Krishna Timalsina, Narendra Raj Paudel. Formal analysis: Shobha Shrestha. Writing–original draft: Shobha Shrestha, Bikash Kumar Karna. Writing–review and editing: Shobha Shrestha, Prem Sagar Chapagain, Kedar Dahal. Project administration: Shobha Shrestha. Funding acquisition: Shobha Shrestha.
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Shrestha, S., Karna, B.K., Chapagain, P.S. et al. Territorial dynamics of spatial growth in Kathmandu Valley, Nepal: understanding geographical notion of urban sustainability. GeoJournal 89, 13 (2024). https://doi.org/10.1007/s10708-024-11019-4
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DOI: https://doi.org/10.1007/s10708-024-11019-4