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Modelling of sustainable and suitable land selection for future urban development: a study around Kolkata city, India

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Abstract

The uncontrolled and disorganized built-up growth resulting from unprecedented population growth is a common problem for cities in develo** countries, leading to a widespread issue of urban sprawl that encroaches upon large areas of natural environment. In this regard, identifying the suitable location for future urban growth which can preserve ecological balance is a crucial element of effective planning. In order to determine the suitable location for future urban development, the region around Kolkata city has been selected for this study. The weight of each criterion was determined by using the AHP approach and pair-wise comparison matrix. The final suitable map was generated by WOA using weighted reclassification maps, and it was categorized as highly suitable (S1), moderately suitable (S2), marginally suitable (S3), currently unsuitable (S4), and not suitable (N1). As a result, only 3.37% of sites have been identified as highly suitable (S1) for future residential urban growth. A field survey was conducted, which has justified that the highly suitable (S1) locations were ecologically delineated. This work will help in the adoption of this method or the usage of the designated area for new urban development projects by policy makers, stakeholders, planners, and the government.

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Data Availability

Satellite data were downloaded from the https://earthexplorer.usgs.gov/ site. Population related data has been collected from the Census of India, 2011.

References

  • Abdullahi S, Mahmud AR, Pradhan B (2014) Spatial modelling of site suitability assesment for hospital using gepgraphical information system-based multicriteria approach at Qazvin city. Iran Geocarto Int 29(2):164–184

    Article  Google Scholar 

  • Al-Hanbali A, Alsaaideh B, Kondoh A (2011) Using GIS-Based Weighted Linear Combination Analysis and Remote Sensing Techniques to Select Optimum Solid Waste Disposal Sites within Mafraq City, Jordan. J Geogr Inf Syst 3:267–278

    Google Scholar 

  • Al-Shalabi MA, Mansor SB, Ahmed NB, Shiriff R (2006) GIS Based Multicriteria Approaches to Housing Site Suitablity Assesment. Sha** the Change, XXIII FIG congrss, Munich Germany

    Google Scholar 

  • Alimi SA, Ige OO, Okeke JC (2022a) Assessing groundwater potentials of Kaduna state, Northwestern Nigeria, using Geographic Information System (GIS) and Remote Sensing (RS) techniques. Arab J Geoscie 15:1741. https://doi.org/10.1007/s12517-022-11039-9

    Article  Google Scholar 

  • Alimi SA, Andongma TW, Ogungbade O, Senbore SS, Alepa VC, Akinlabi OJ, Olawale LO, Muhammed QO (2022b) Flood vulnerable zones map** using geospatial techniques: case study of Osogbo Metropolis, Nigeria. Egypt J Remote Sens Space Sci 25(3):84–850. https://doi.org/10.1016/j.ejrs.2022.08.003

    Article  Google Scholar 

  • Altuzarra A, Moreno-Jimenez JM, Salvador M (2007) A Bayesian Priorization Procedure for AHP group decision amking. Eur J Oper Res 182:367–382

    Article  Google Scholar 

  • Aydi A, Abichou T, Nasr IH, Louati M, & Zairi M (2016) Assessment of land suitability for olive mill wastewater disposal site selection by integrating fuzzy logic, AHP,and WLC in a GIS. Environ Monit Assess 188(1)

  • Bagheri M, Sulaiman WN, Vagherfi N (2013) Application of geographic information system technique and analytical hierarchy process model for land-use suitability analysis on coastal area. J Coast Conserv 17:1–10

    Article  Google Scholar 

  • Barredo JI, Demicheli L, Lavalle C, Kasanko M, McCormick N (2004) Modelling future urban scenarios in develo** countries: an application case study in Lagos, Nigeria. Environ Plann B Plann Des 32:65–84

    Article  Google Scholar 

  • Basu R, Dhar SB (2013) In-migration, commutation and urban sprawl: a case study Kolkata Metropolitan area. Spaces and Flows: International Journal of Urban and Extra Urban Studies 3:59–77. https://doi.org/10.18848/2154-8676/CGP/v03i03/53702

  • Bhattacharya PC (2002) Urbanisation in develo** countries. Econ Political Wkly 37(41):4219–4228. http://www.jstor.org/stable/4412720. Accessed 24 Jun 2023

  • Borgogno M, Marsan F, Fabietti G (2015) Soil quality and landscape metrics as driving factors in a multi-criteria GIS procedure for peri-urban land use planning. Urban Forest Urban Green 14(4):743–750

    Article  Google Scholar 

  • Cambell JC, Radke J, Gless JT, Whirtshafter RM (1992) An Application for linear and geographic information system: cropland allocation in antigue. Environ Plan 24:535–549

    Article  Google Scholar 

  • Chakma S (2014) Analysis of Urban Development suitability. In: Dewan A, Corner R (eds) Dhaka Megacity, Geospatial Perspectives on Urbanisation, Environment and Health. Springer, Dordrecht Heidelberg New York Lando, pp 147–161

    Chapter  Google Scholar 

  • Chandio IA, Matori AN, Yusof K, Talpur MH, Aminu M (2014) GIS-basedland Suitability Analysis of Sustainable Hillside Development. Proceding Engineering 77:87–94

    Article  Google Scholar 

  • Chang NB, Parvatthinathan G, Breeden JB (2008) Combining GIS with fuzzy multicriteria decision-making for landfill siting in a fast-growing urban region. J Environ Manage 87:139–153

    Article  Google Scholar 

  • Chen Y, Khan S, Paydar Z (2010) To Retire or Expand? A Fuzzy GIS-Based Spatial Multi-Criteria Evaluation Framwork for Irrigated Agriculture. Irrig Drain 59:174–188

    Google Scholar 

  • Collins MH, Steiner FR, Rushman MJ (2001) Land-Use Suitability Analysis in the United States: Historical Development and Promising Technological Achievements. Environ Manage 28(5):61–621

    Article  Google Scholar 

  • Das N (2016) Suitable site selection for small scale industries through GIS analysis: A case study conering Part of Barasat-II, Deganga, Rajarhat Block of North 24 Pargana district, West Bengal. Int J Sci Res 5(3):329–331

    Google Scholar 

  • Dong J, Zhuang D, Xu X, Ying L (2008) Integrated Evaluation of Urban Development Suitability Based on Remote Sensing and GIS Techniques – A Case Study in **g**ji Area, China. Sensors 8:5975–5986

    Article  Google Scholar 

  • Effat HA, Hassan OA (2013) Designing and evaluation of three alternatives highway routes using the Analytical Hierarchy Process and the least-cost path analysis, application in Sinai Peninsula. Egypt Egypt J Remote Sens Space Sci 16(2):141–151

    Article  Google Scholar 

  • Girvan MS, Bullimore J, Pretty JN, Osborn AM, Ball AS (2003) Soil Type Is the Primary Determinant of the Composition of the Total and Active Bacterial Communities in Arable Soils. Appl Environ Microbiol 69(3):1800–1809

    Article  Google Scholar 

  • Halder B, Bandyopadhyay J, Banik P (2020) Assessment of hospital sites’ suitability by spatial information technologies using AHP and GIS-based multi-criteria approach of Rajpur-Sonarpur Municipality. Model Earth Syst Environ 6(4):2581–2596

    Article  Google Scholar 

  • Hasanuzzaman M, Mandal MH, Hasnine M, Shit PK (2022) Groundwater potential map** using multi-criteria decision bivariate statistic and machine learning algorithms: evidence from Chota Nagpur Plateau, India. Appl Water Sci 12(4). https://doi.org/10.1007/s13201-022-01584-9

  • Hasnine M, Rukhsana, (2023) Spatial and temporal analysis of land use and land cover change in and around Kolkata City, India, using geospatial techniques. J Indian Soc Remote Sens 51:1037–1056. https://doi.org/10.1007/s12524-023-01669-1

    Article  Google Scholar 

  • Hopkins LD (1977) Methods for Generating Land Suitability Maps: A Comparative Evaluation. J Am Inst Plann 34(1):19–29

    Google Scholar 

  • Hossain MS, Chowdhury SR, Das NG, Sharifuzzaman SM, Sultana A (2009) Integration of GIS and Multicriteria decision analysis for urban aquaculture development in Bangladesh. Landsc Urban Plan 90:119–133

    Article  Google Scholar 

  • Jain K, Subbaiah YV (2007) Site Suitability Analysis for Urban Development Using GIS. J Appl Sci 7(18):2576–2583

    Article  Google Scholar 

  • Jamil M, Sahana M, Sajjad H (2018) Crop Suitability Analysis in the Bijnor District, UP. Using Geospatial Tools and Fuzzy Analytical Hierarchy Process, Agric Res

    Google Scholar 

  • Janssen R, Rietveld P (1990) Muilticriteria analysis and geograpgical information system: an application to agricultural land use in Netherlands. In: Scholten HJ, Stillwell J (eds) Geographial Information System for urban and Regional Planning. Kluwer Academis Publishers, Dordrecht, pp 129–139

    Chapter  Google Scholar 

  • Javadian M, Shamskooshki H, Momeni M (2011) Application of sustainable urban development in environmental suitability analysis of educational land use by using AHP and GIS in Tehran. Proc Eng 21:72–80

    Article  Google Scholar 

  • Keshavarzi A, Tuffour HO, Bagherzadheh A, Tattrah LP, Kumar V, Gholizadeh A et al (2020) Using fuzzy-AHP and parametric technique to assess soil fertility ststus in Northeast of Iran. J Mt Sci 17:931–948

    Article  Google Scholar 

  • Khoi DD, Murayama Y (2010) Land Suitability Assessment Using a Fuzzy Multi-Criteria Evaluation. In: Murayam Y (ed) Progress in Geospatial Analysis. Springer, Tokyo, pp 215–235

    Google Scholar 

  • Kumar M, Saikh VR (2013) Site Suitability Analysis for Urban Development Using GIS Based Multicriteria Evaluation Technique. J Indian Soc Remote Sens 42(2):417–424

    Article  Google Scholar 

  • Malczewski J (2004) GIS-based land-use suitability analysis: a critical overview. Prog Plan 62(1):3–65

    Article  Google Scholar 

  • Malczewski J (1999) GIS and Multicriteria Decision Analysis. Jhon Wiley and Sons

  • Marinoni O (2004) Implementation of the analytical hierarchy process with VBA in ArcGIS. Comput Geosci 30(6):637–646

    Article  Google Scholar 

  • Muhsin N, Ahamed T, Noguchi R (2018) GIS-based multi-criteria analysis modeling used to locate suitable sites for industries in suburban areas in Bangladesh to ensure the sustainability of agricultural lands. Asia-Pac J Reg Sci 2:35–64

    Article  Google Scholar 

  • Nguyen TT, Verdoodt A, Tran VY, Delbecque N, Tran TC, Ranst EV (2015) Design of a GIS and multi-criteria based land evaluation procedure for sustainable land-use planning at the regional level. Agr Ecosyst Environ 200:1–11

    Article  Google Scholar 

  • Nuissl H, Siedentop S (2021) Urbanisation and land use change. In: Weith T, Barkmann T, Gaasch N, Rogga S, Strauß C, Zscheischler J (eds) Sustainable Land Management in a European Context. Human-Environment Interactions, vol 8. Springer, Cham. https://doi.org/10.1007/978-3-030-50841-8_5

  • Parimala M, Lopez D (2012) Decision making in agriculture based on land suitability - Spatial data analysis approach. J Theor Appl Inf Technol 46(1):17–23

    Google Scholar 

  • Pramanik MK (2016) Site suitability analysis for agricultural land use of Darjeeling district using AHP and GIS techniques. Model Earth Syst Environ 2:56. https://doi.org/10.1007/s40808-016-0116-8

    Article  Google Scholar 

  • Rukhsana,  Hasnine M (2019) Modelling of potential sites for residential development at South East Peri-Urban of Kolkata. In: Monprapussorn S, Lin Z, Sitthi A, Wetchayont P (eds) Geoinformatics for sustainable development in Asian cities (1st ed.). Springer, Cham, Bangkok, p 149

  • Saaty TL (1980) The Analytic Hierarchy Process. McGraw Hill, New York

    Google Scholar 

  • Saaty TL (1987) Decision making, new informtion, ranking and structure. Math Model 8:125–132

    Article  Google Scholar 

  • Saaty TL (1990) How to make a decision: the analytic hierarchy process. Eur J Oper Res 48(1):9–26. https://doi.org/10.1016/0377-2217(90)90057-I

    Article  Google Scholar 

  • Saaty TL (2000) Fundamentals of Decision Making and Priority Theory With the Analytic Hierarchy Process. RWS Publications, Pittsburg

    Google Scholar 

  • Saaty TL (2003) Decision-making with AHP: why is the principle eigenvector necessary. Eur J Oper Res 145:85–91

    Article  Google Scholar 

  • Seto KC, Fragkias M (2015) Quantifying spatiotemporal patterns of urban land-use change in four cities of China with time series landscape metrics. Landscape Ecol 20:871–888

    Article  Google Scholar 

  • Sisodia PS, Tiwari V, & Dahiya AK (2016) Prediction of Urban Sprawl Using Remote Sensing, GIS and Multilayer Perceptron for the City Jaipur. In S. Berretti, S. Thampi, & P. Srivastava. Int Syst Technol App 384:403–410. Springer, Cham

  • Tagaris E, Sotiropoulou R-EP, Pilinis C, Halvadakis CP (2012) A Methodology to Estimate Odors around Landfill Sites: The Use of Methane as an Odor Index and Its Utility in Landfill Siting. J Air Waste Manag Assoc 53(5):629–634

    Article  Google Scholar 

  • Thapa RB, Murayama Y (2010) Divers of Urban growth in the Kathmandu valley, Nepal: Examining the efficacy of the analytic hierarchy process. Appl Geogr 30:70–83

    Article  Google Scholar 

  • Trivedi JK, Sareen H, Dhyani M (2008) Rapid urbanization - Its impact on mental health: A South Asian perspective. Indian J Psychiatry 50(3):161–165. https://doi.org/10.4103/0019-5545.43623

    Article  Google Scholar 

  • UN DESA (2018) The 2018 revision of the world urbanization prospects. https://www.un.org/development/desa/en/news/population/2018-revision-of-world-urbanization-prospects.html. Accessed 30 Jul 2023

  • Yang F, Zeng G, Du C, Tang L, Zhou J, Li Z (2008) Spatial analyzing system for urban land-use management based on GIS and multi-criteria assessment modeling. Prog Nat Sci 18(10):1279–1284

    Article  Google Scholar 

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Acknowledgements

The authors are thankful to the Editor-in-chief and the anonymous reviewers for their valuable feedback and contributions to this research. Additionally, I am thankful to Aliah University for providing the necessary laboratory and library facilities to conduct this study.

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  1. Department of Geography, Aliah University, 17, Gorachand Road, Beniapukur, Kolkata, 700014, West Bengal, India

    Md Hasnine &  Rukhsana

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Correspondence to Md Hasnine.

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Hasnine, M., Rukhsana Modelling of sustainable and suitable land selection for future urban development: a study around Kolkata city, India. Arab J Geosci 16, 504 (2023). https://doi.org/10.1007/s12517-023-11607-7

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