Skip to main content

Advertisement

SpringerLink
Log in

Application of multi-influence factor (MIF) technique for the identification of suitable sites for urban settlement in Tiruchirappalli City, Tamil Nadu, India

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

Abstract

The assessment of the suitability of a region for urban development is crucial. It is necessary to make appropriate decisions for urban and regional development by considering essential criteria. Remote sensing and GIS techniques can be used to provide spatial information when assessing the suitability of a region. The aim of this study was to identify a suitable site for urban settlement in Tiruchirappalli. This study incorporates the GIS-based multi-influence factor (MIF) technique to identify land-use suitability for future development in Tiruchirappalli. Open land and agricultural land were the primary land-use classes in the study area. The evaluation process for land suitability analysis was based on 11 criteria including land-use/land-cover (LULC), road and rail network, industrial area, settlement, soil map, slope, population density, surface water bodies, groundwater level, and water quality. The site suitability map for urban settlement was divided into four regions: I—restricted, II—less suitable, III—moderately suitable, and IV—highly suitable. The results indicated that 15.46% of the study area was highly suitable for urban settlement, 41.38% was moderately suitable, 39.33% was less suitable, and 3.82% was restricted for urban settlement. Most of the suitable area was located in the central zone of the city, where the existing urban land was located. Receiver-operating characteristic (ROC) was applied to validate the model, and the area under the curve (AUC) was 0.837, suggesting that the model was efficient. The current study is thus proposed to be an effective tool for sustainable land-use planning and development in Tiruchirappalli.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

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

Similar content being viewed by others

References

  • Aburas MM, Abdullah SH, Ramli MF, Asha’ari ZH (2017) Land suitability analysis of urban growth in Seremban Malaysia, using GIS based analytical hierarchy process. Procedia Eng 198:1128–1136

    Article  Google Scholar 

  • Antrop M (2004) Landscape change and the urbanization process in Europe. Landsc Urban Plan 67(1–4):9–26

    Article  Google Scholar 

  • Arekhi M (2011) Modeling spatial pattern of deforestation using GIS and logistic regression: a case study of northern Ilam forests, Ilam Province. Iran. Afr J Biotechnol 10(72):16236–16249

    Google Scholar 

  • Arivazhagan S, Kirubakaran M (2016) Detection of urban changes and statistical site suitability analysis in tiruchencode taluk using geoinformatictechniques. Int J Earth Sci Eng 9(4):1465–1473

    Google Scholar 

  • Arivazhagan S, Karthi A, Kirubakaran M (2018) Change detection analysis and statistical site suitability mapping for edappadi taluk using GIS techniques. Int J Sci Adv Res Technol 4(4):1562–1570

    Google Scholar 

  • Arkoprovo B, Adarsa J, Animesh M (2013) Application of remote sensing, GIS and MIF technique for elucidation of groundwater potential zones from a part of Orissa coastal tract, Eastern India. Res J Recent Sci 2(11):42–49

    Google Scholar 

  • BIS (Bureau of Indian Standards) 10500 (2012) Indian Standard Drinking Water Specification

  • Bhatta B (2010) Analysis of urban growth and sprawl from remote sensing data. Springer Science & Business Media, Berlin

    Book  Google Scholar 

  • Bowman A, Wilson A (eds) (2011) Settlement, urbanization, and population, vol 2. Oxford University Press on Demand, Oxford

    Google Scholar 

  • Bunruamkaew K, Murayam Y (2011) Site suitability evaluation for ecotourism using GIS and AHP: a case study of Surat Thani province, Thailand. Procedia Soc Behav Sci 21:269–278

    Article  Google Scholar 

  • Buruso FH (2018) Habitat suitability analysis for hippopotamus (H. amphibious) using GIS and remote sensing in Lake Tana and its environs Ethiopia. Environ Syst Res 6(1):6

    Article  Google Scholar 

  • Central Ground Water Board (2006). Ground water year book of national capital of territory, Delhi. Ministry of Water Resources, Government of India, New Delhi. https://doi.org/10.13140/RG.2.2.31963.36645

  • Chadchan J, Shankar R (2012) An analysis of urban growth trends in the post-economic reforms period in India. Int J Sustain Built Environ 1(1):36–49

    Article  Google Scholar 

  • Chakma S (2014) Analysis of urban development suitability. Dhaka Megacity. Springer, Dordrecht, pp 147–161

    Chapter  Google Scholar 

  • Chinnasamy P, Agoramoorthy G (2015) Groundwater storage and depletion trends in Tamil Nadu State, India. Water Resourc Manag 29(7):2139–2152

    Article  Google Scholar 

  • Collins MG, Steiner FR, Rushman MJ (2001) Land-use suitability analysis in the United States: historical development and promising technological achievements. Environ Manag 28(5):611–621

    Article  Google Scholar 

  • Congalton RG (1991) A review of assessing the accuracy of classifications of remotely sensed data. Remote Sens Environ 37(1):35–46

    Article  Google Scholar 

  • Dai FC, Lee CF, Zhang XH (2001) GIS-based geo-environmental evaluation for urban land-use planning: a case study. Eng Geol 61(4):257–271

    Article  Google Scholar 

  • Daneshfar M, Zeinivand H (2015) Application of frequency ratio, weights of evidence and multi influencing factors models for groundwater potential mapping using GIS. J Appl Hydrol 2:45–61

    Google Scholar 

  • Das S (2019) Comparison among influencing factor, frequency ratio, and analytical hierarchy process techniques for groundwater potential zonation in Vaitarna basin, Maharashtra, India. Groundw Sustain Dev 8:617–629

    Article  Google Scholar 

  • Das S, Gupta A, Ghosh S (2017) Exploring groundwater potential zones using MIF technique in semi-arid region: a case study of Hingoli district Maharashtra. Spat Inform Res. https://doi.org/10.1007/s41324-017-0144-0

    Article  Google Scholar 

  • Desa U (2018) Revision of world urbanization prospects. UN Department of Economic and Social Affairs, p 16

  • Diemer J (1998) The compact city a guiding star. Der Stadtetag 1:1–2

    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 Jingjinji Area China. Sensors 8(9):5975–5986

    Article  Google Scholar 

  • Dutta V (2012) Land use dynamics and peri-urban growth characteristics: reflections on master plan and urban suitability from a sprawling north Indian city. Environ Urban Asia 3(2):277–301

    Article  Google Scholar 

  • Eastman JR, Kyem PA, Toledano J (1993) A procedure for multi-objective decision making in GIS under conditions of conflicting objectives. In: Proceedings of the Fourth European Conference on Geographic Information Systems (Vol. 29).

  • Fawcett T (2006) An introduction to ROC analysis. Pattern Recogn Lett 27(8):861–874

    Article  Google Scholar 

  • Fazal S, Amin A (2011) Impact of urban land transformation on water bodies in Srinagar City India. J Environ Prot 2(02):142

    Article  Google Scholar 

  • Feizizadeh B, Blaschke T (2013) Land suitability analysis for Tabriz County, Iran: a multi-criteria evaluation approach using GIS. J Environ Plan Manag 56(1):1–23

    Article  Google Scholar 

  • Feng D, Li J, Li X, Zhang Z (2019) The effects of urban sprawl and industrial agglomeration on environmental efficiency: evidence from the Beijing–Tianjin–Hebei Urban Agglomeration. Sustainability 11(11):3042

    Article  Google Scholar 

  • Gumma MK, Pavelic P (2012) Mapping of groundwater potential zones across Ghana using remote sensing, geographic information systems, and spatial modeling. Environ Monit Assess 185(4):3561–3579

    Article  Google Scholar 

  • Gupta AD, Onta PR (1997) Sustainable groundwater resources development. Hydrol Sci J 42(4):565–582

    Article  Google Scholar 

  • Huang H, Li Q, Zhang Y (2019) Urban residential land suitability analysis combining remote sensing and social sensing data: a case study in Beijing China. Sustainability 11(8):2255

    Article  Google Scholar 

  • Ivanova E, Masarova J (2013) Importance of road infrastructure in the economic development and competitiveness. Econ Manag 18(2):263–274

    Article  Google Scholar 

  • Jaeger J, Bertiller R, Schwick C, Kienast F (2007) Weiterhinsteigende Zersiedelung der Schweiz: WielasstsicheineTrendwendeerreichen? Geomatik Schweiz 105(3):114

    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 

  • 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. Procedia Eng 21:72–80. https://doi.org/10.1016/j.proeng.2011.11.1989

    Article  Google Scholar 

  • Jayakumar S, Enkhbaatar L, Heo J (2008) Urban sprawl and its impact on the land cover-a geospatial study. J Korean Soc Geospat Inform Syst 16(4):73–78

    Google Scholar 

  • Jenelius E, Petersen T, Mattsson LG (2006) Importance and exposure in road network vulnerability analysis. Transport Res Part A Pol Pract 40(7):537–560

    Article  Google Scholar 

  • Jha MK, Shekhar A, Jenifer MA (2020) Assessing groundwater quality for drinking water supply using hybrid fuzzy-GIS-based water quality index. Water Res. https://doi.org/10.1016/j.watres.2020.115867

    Article  Google Scholar 

  • Jiang D, Yang XH, Wang NB, Liu HH (2002) Study on spatial distribution of population based on remote sensing and GIS. Adv Earth Sci 17(5):734–738

    Google Scholar 

  • Joerin F, Thériault M, Musy A (2001) Using GIS and outranking multicriteria analysis for land-use suitability assessment. Int J Geograp Inform Sci 15(2):153–174

    Article  Google Scholar 

  • Jun MJ (2006) The effects of Portland’s urban growth boundary on housing prices. J Am Plan Assoc 72(2):239–243

    Article  Google Scholar 

  • Kourgialas NN, Karatzas GP (2011) Flood management and a GIS modelling method to assess flood-hazard areas—a case study. Hydrol Sci J 56(2):212–225

    Article  Google Scholar 

  • Kulkarni PM (2014) Demographic Transition in India. In: http://www.censusindia.gov.in/2011census/presentation.demographic-transition-in-india.pdf. Accessed 10 Jun 2016

  • Kumar S, Kumar R (2014) Site suitability analysis for urban development of a Hill Town using GIS based multicriteria evaluation technique: a case study of Nahan Town, Himachal Pradesh, India. Int J Adv Remote Sens GIS 3(1):516–524

    Google Scholar 

  • Kumar M, Shaikh VR (2013) Site suitability analysis for urban development using GIS based multicriteria evaluation technique—a case study of mussoorie municipal area, Dehradun District, Uttarakhand India. J Indian Soc Remote Sens pp. 417–424 Land Use Policy, 30 (1), pp. 519–527.

  • La Rosa D, Geneletti D, Spyra M, Albert C, Fürst C (2018) Sustainable planning for peri-urban landscapes. Ecosystem services from forest landscapes. Springer, Cham, pp 89–126

    Chapter  Google Scholar 

  • Liu R, Zhang K, Zhang Z, Borthwick AG (2014) Land-use suitability analysis for urban development in Beijing. J Environ Manag 145:170–179

    Article  Google Scholar 

  • Liu Y, Luo T, Liu Z, Kong X, Li J, Tan R (2015) A comparative analysis of urban and rural construction land use change and driving forces: Implications for urban–rural coordination development in Wuhan, Central China, vol 47. Habitat International, pp 113–125

  • Machiwal D, Jha MK, Mal BC (2011) Assessment of groundwater potential in a semi-arid region of India using remote sensing, GIS and MCDM techniques. Water Resour Manag 25(5):1359–1386

    Article  Google Scholar 

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

    Google Scholar 

  • Malmir M, Zarkesh MMK, Monavari SM, Jozi SA, Sharifi E (2016) Analysis of land suitability for urban development in Ahwaz County in southwestern Iran using fuzzy logic and analytic network process (ANP). Environ Monit Assess 188(8):447

    Article  Google Scholar 

  • Marinoni O (2006) A discussion on the computational limitations of outranking methods for land-use suitability assessment. Int J Geograp Inform Sci 20(1):69–87

    Article  Google Scholar 

  • Marull J, Pino J, Mallarach JM, Cordobilla MJ (2007) A land suitability index for strategic environmental assessment in metropolitan areas. Landsc Urban Plan 81(3):200–212

    Article  Google Scholar 

  • McDonald RI (2008) Global urbanization: can ecologists identify a sustainable way forward? Front Ecol Environ 6(2):99–104

    Article  Google Scholar 

  • McNeil BJ, Hanley JA (1984) Statistical approaches to the analysis of receiver operating characteristic (ROC) curves. Med Decis Making 4(2):137–150

    Article  Google Scholar 

  • Misra SK, Sharma S (2015) SS site suitability analysis for urban development: a review. Int J Recent Innov Trends Comput Commun 3:3647–3651

    Google Scholar 

  • Morgan J, Talbot R (2001) Sustainable social housing for no extra cost. Achieving sustainable urban form, 319–328

  • Mouton AM, Dedecker AP, Lek S, Goethals PL (2010) Selecting variables for habitat suitability of Asellus (Crustacea, Isopoda) by applying input variable contribution methods to artificial neural network models. Environ Model Assess 15(1):65–79. https://doi.org/10.1007/s10666-009-9192-8

    Article  Google Scholar 

  • Mukherjee P, Chander KS, Saumitra M (2011) Delineation of groundwater potential zones in Arid region of India, a remote sensing and GIS approach. Water Resour Manag 26:2643–2672

    Article  Google Scholar 

  • Mundia CN, Aniya M (2005) Analysis of land use/cover changes and urban expansion of Nairobi city using remote sensing and GIS. Int J Remote Sens 26(13):2831–2849

    Article  Google Scholar 

  • Murray AT (2001) Strategic analysis of public transport coverage. Socio Econ Plan Sci 35(3):175–188

    Article  Google Scholar 

  • Nampak H, Pradhan B, AbdManap M (2014) Application of GIS based data driven evidential belief function model to predict groundwater potential zonation. J Hydrol 513:283–300

    Article  Google Scholar 

  • Nas B, Berktay A (2010) Groundwater quality mapping in urban groundwater using GIS. Environ Monit Assess 160(1–4):215–227

    Article  Google Scholar 

  • Nasir MJ, Khan S, Zahid H, Khan A (2018) Delineation of groundwater potential zones using GIS and multi influence factor (MIF) techniques: a study of district Swat, Khyber Pakhtunkhwa Pakistan. Environ Earth Sci 77(10):367

    Article  Google Scholar 

  • Negnevitsky M (2002) Artificial intelligence: a guide to intelligent systems. Addison Wesley/Pearson Education, King’s Lynn, p 415

    Google Scholar 

  • Nganga BW, Ngetich KO, Adamtey N, Milka K, Ngetich KF (2019) Application of GIS on the identification of suitable areas for water conservation technologies in the Upper Tana Watershed of the Central Highlands of Kenya. Int J Plant Soil Sci 30(1):1–20

    Article  Google Scholar 

  • Parry JA, Ganaie SA, Bhat MS (2018) GIS based land suitability analysis using AHP model for urban services planning in Srinagar and Jammu urban centers of J&K India. J Urban Manag 7(2):46–56

    Article  Google Scholar 

  • Pontius RG Jr, Schneider LC (2001) Land-cover change model validation by an ROC method for the Ipswich watershed, Massachusetts, USA. Agr Ecosyst Environ 85(1–3):239–248

    Article  Google Scholar 

  • Pouyat RV, Pataki DE, Belt KT, Groffman PM, Hom J, Band LE (2007) Effects of urban land-use change on biogeochemical cycles. Terrestrial ecosystems in a changing world. Springer, Berlin, Heidelberg, pp 45–58

    Chapter  Google Scholar 

  • Pouyat RV, Yesilonis ID, Szlavecz K, Csuzdi C, Hornung E, Korsós Z, Giorgio V (2008) Response of forest soil properties to urbanization gradients in three metropolitan areas. Lands Ecol 23(10):1187–1203

    Article  Google Scholar 

  • Prakash S, Mahapatra S (2018) Flood susceptibility pattern mapping along Visakhapatnam coastal zone of India, using multi-influencing-factor (MIF) technique in conjunction with remote sensing data. Int J Adv Innov Res 5(4):21–33

    Google Scholar 

  • Ramachandraiah C, Prasad S (2004) Impact of urban growth on water bodies: the case of Hyderabad. Centre for Economic and Social Studies, Hyderabad

    Google Scholar 

  • Reis S (2008) Analyzing land use/land cover changes using remote sensing and GIS in Rize North-East Turkey. Sensors 8(10):6188–6202

    Article  Google Scholar 

  • Rogan J, Chen D (2004) Remote sensing technology for mapping and monitoring land-cover and land-use change. Progress Plan 61(4):301–325

    Article  Google Scholar 

  • Rojas C, Pino J, Jaque E (2013) Strategic environmental assessment in Latin America: a methodological proposal for urban planning in the Metropolitan Area of Concepción (Chile). Land Use Policy 30(1):519–527

    Article  Google Scholar 

  • Rwanga SS, Ndambuki JM (2017) Accuracy assessment of land use/land cover classification using remote sensing and GIS. Int J Geosci 8(04):611

    Article  Google Scholar 

  • Saaty TL (1980) The analytic hierarchy process (AHP). J Oper Res Soc 41(11):1073–1076

    Google Scholar 

  • Sadhasivam S, Rahaman A, Bala Sundareshwaran A (2017) Urban change detection and site suitability analysis in thiruverumbur taluk, tiruchirappalli district–a geospatial approach. In: 38th Asian Conference on remote sensing—space applications: touching human lives at New Delhi.

  • Saeidi S, Mohammadzadeh M, Salmanmahiny A, Mirkarimi SH (2017) Performance evaluation of multiple methods for landscape aesthetic suitability mapping: a comparative study between Multi-Criteria Evaluation, Logistic Regression and Multi-Layer Perceptron neural network. Land Use Policy 67:1–12

  • Salo A, Keisler J, Morton A (eds) (2011) Portfolio decision analysis: improved methods for resource allocation, vol 162. Springer Science & Business Media, Berlin

    Google Scholar 

  • Senapati U, Das TK (2020) Assessment of Potential Land Degradation in Akarsa Watershed, West Bengal, Using GIS and Multi-influencing Factor Technique. In: Shit P, Pourghasemi H, Bhunia G (eds) Gully Erosion Studies from India and Surrounding Regions. Advances in Science, Technology & Innovation (IEREK Interdisciplinary Series for Sustainable Development). Springer, Cham. https://doi.org/10.1007/978-3-030-23243-6_11

  • Shaban A, Khawlie M, Abdallah C (2006) Use of remote sensing and GIS to determine recharge potential zones: the case of Occidental Lebanon. Hydrogeol J 14(4):433–443

    Article  Google Scholar 

  • Shi X, Fang R, Wu J, Xu H, Sun Y, Yu J (2012) Sustainable development and utilization of groundwater resources considering land subsidence in Suzhou, China. Eng Geol 124:77–89

    Article  Google Scholar 

  • Siedentop S (2005) “Urban Sprawl–verstehen, messen, steuern–Ansatzpunktefüreinempirisches Mess-und Evaluationskonzept der urbanenSiedlungsentwicklung” in DisPNr. 160.

  • Singh KN (1978) Urban development in India. Abhinav Publications, Ajmer

    Google Scholar 

  • Singh L, Katpatal YB (2018) Wetland change analysis and their impact on dense vegetation by spatial approach. J Urban Environ Eng 12(1):70–76

    Article  Google Scholar 

  • Sisodia PS, Tiwari V, Kumar A (2014) Analysis of supervised maximum likelihood classification for remote sensing image. In: International Conference on Recent Advances and Innovations in Engineering (ICRAIE-2014), pp 1–4), IEEE.

  • Store R, Kangas J (2001) Integrating spatial multi-criteria evaluation and expert knowledge for GIS-based habitat suitability modelling. Lands Urban Plan 55(2):79–93

    Article  Google Scholar 

  • Swets JA (1988) Measuring the accuracy of diagnostic systems. Science 240:1285–1293. https://doi.org/10.1126/science.3287615

    Article  Google Scholar 

  • Taheri K, Missimer TM, Taheri M, Moayedi H, Pour FM (2019) Critical zone assessments of an alluvial aquifer system using the multi-influencing factor (MIF) and analytical hierarchy process (AHP) models in Western Iran. Nat Resour Res 1–29

  • Tanguay GA, Rajaonson J, Lefebvre JF, Lanoie P (2010) Measuring the sustainability of cities: an analysis of the use of local indicators. Ecol Ind 10(2):407–418

    Article  Google Scholar 

  • Tao W (2013) Interdisciplinary urban GIS for smart cities: advancements and opportunities. Geo-spat Inform Sci 16(1):25–34

    Article  Google Scholar 

  • Thapa RB, Murayama Y (2010) Drivers of urban growth in the Kathmandu valley, Nepal: examining the efficacy of the analytic hierarchy process. Appl Geogr 30(1):70–83

    Article  Google Scholar 

  • Thapa R, Gupta S, Guin S, Kaur H (2017) Assessment of groundwater potential zones using multi-influencing factor (MIF) and GIS: a case study from Birbhum district West Bengal. Appl Water Sci 7(7):4117–4131

    Article  Google Scholar 

  • Thinh NX, Arlt G, Heber B, Hennersdorf J, Lehmann I (2002) Evaluation of urban land-use structures with a view to sustainable development. Environ Impact Assess Rev 22(5):475–492

    Article  Google Scholar 

  • Tiwari TN, Mishra MA (1985) A preliminary assignment of water quality index of major Indian rivers. Indian J Environ Prot 5(4):276–279

    Google Scholar 

  • United Nations (2004) Integration of GPS, digital imagery and GIS with census mapping. United Nations Statistics Division, New York

    Google Scholar 

  • Yang J, Liu Y, Wang S (2007) An overview of the methods of GIS-based land-use suitability analysis. In: Geoinformatics 2007: Geospatial information technology and applications, vol 6754. International Society for Optics and Photonics, p 675438

  • Youssef AM, Pradhan B, Tarabees E (2011) Integrated evaluation of urban development suitability based on remote sensing and GIS techniques: contribution from the analytic hierarchy process. Arab J Geosci 4(3–4):463–473

    Article  Google Scholar 

  • Zabihi H, Ahmad A, Vogeler I, Said MN, Golmohammadi M, Golein B, Nilashi M (2015) Land suitability procedure for sustainable citrus planning using the application of the analytical network process approach and GIS. Comput Electron Agric 117:114–126

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Civil Engineering, National Institute of Technology, Tiruchirappalli, India

    Leelambar Singh, Subbarayan Saravanan, J. Jacinth Jennifer & D. Abijith

Authors
  1. Leelambar Singh
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Subbarayan Saravanan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. J. Jacinth Jennifer
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. D. Abijith
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Subbarayan Saravanan.

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

Singh, L., Saravanan, S., Jennifer, J.J. et al. Application of multi-influence factor (MIF) technique for the identification of suitable sites for urban settlement in Tiruchirappalli City, Tamil Nadu, India. Asia-Pac J Reg Sci 5, 797–823 (2021). https://doi.org/10.1007/s41685-021-00194-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s41685-021-00194-8

Keywords

Search

Navigation