{"id":6450,"date":"2024-06-18T16:20:39","date_gmt":"2024-06-18T16:20:39","guid":{"rendered":"https:\/\/jssp.reviste.ubbcluj.ro\/?p=6450"},"modified":"2024-07-14T14:33:52","modified_gmt":"2024-07-14T14:33:52","slug":"abstract-03jssp012024","status":"publish","type":"post","link":"https:\/\/jssp.reviste.ubbcluj.ro\/?p=6450","title":{"rendered":"Abstract 03JSSP012024"},"content":{"rendered":"

Unravelling the Role of Socio-Physical Drivers for Potential Built-up Site Selection in the Kumaun Himalayas Using GIS-Based Fuzzy-AHP and Machine Learning<\/strong><\/a><\/p>\n

Akash TIWARI<\/strong>1<\/sup>, Manish KUMAR<\/strong>*1<\/sup>, Syed Irtiza MAJID<\/strong>1<\/sup>, Sourav BHADWAL<\/strong>1<\/sup>, Naresh Kumar VERMA<\/strong>2<\/sup>, Dinesh Kumar TRIPATHI<\/strong>3<\/sup>, Subhash ANAND<\/strong>4<\/sup>
\n<\/strong>*\u00a0Corresponding author
\n1 <\/sup>Central University of Haryana, School of Basic Sciences, Department of Geography, Jant-Pali, Mahendragarh, Haryana, INDIA
\n2 <\/sup>Jawaharlal Nehru University, Special Centre for National Security Studies, New Delhi, INDIA
\n3 <\/sup>Rana Pratap Post Graduate College, Sultanpur, Uttar Pradesh, INDIA
\n<\/strong>4 <\/sup>University of Delhi, Delhi School of Economics, Department of Geography, Delhi, INDIA
\nE-mail<\/strong>: researchakashgeo@gmail.com; ORCID<\/strong>: 0000-0003-0066-781X
\nE-mail<\/strong>: manish.ks1@gmail.com; ORCID<\/strong>: 0000-0002-2588-6499
\nE-mail<\/strong>: sirtiza34@gmail.com; ORCID<\/strong>: 0000-0002-7889-4281
\nE-mail<\/strong>: bhadwalsourav@gmail.com; ORCID<\/strong>: 0000-0002-9555-7957
\nE-mail<\/strong>: nareshrai.jnu@gmail.com; ORCID<\/strong>: 0009-0001-8621-2615
\nE-mail<\/strong>: tripathidk.geoinformatics@gmail.com; ORCID<\/strong>: 0000-0001-8274-5118
\n<\/strong>E-mail<\/strong>: sanandpvs@gmail.com; ORCID<\/strong>: 0000-0001-8274-5118
\nPages<\/strong>: 23-38. DOI<\/strong>: 10.24193\/JSSP.2024.1.03<\/a>
\nReceived<\/strong>: 05 November 2023
\nReceived in revised form<\/strong>: 21 April 2024
\nAccepted for publication<\/strong>: 11 June 2024
\nAvailable online<\/strong>: 18 June 2024
\n<\/em><\/span><\/p>\n

Cite<\/strong>: Tiwari A., Kumar M., Majid S. I., Bhadwal S., Verma N. K., Tripathi D. K., Anand S.\u00a0(2024), Unravelling the Role of Socio-Physical Drivers for Potential Built-up Site Selection in the Kumaun Himalayas Using GIS-Based Fuzzy-AHP and Machine Learning. Journal of Settlements and Spatial Planning, 15(1), 23-38. DOI: 10.24193\/JSSP.2024.1.03<\/a><\/span><\/p>\n

Abstract<\/strong>. Rapid and uncontrolled urban growth in the Kumaun Himalayas in absence of proper land use policy has pushed built-up areas towards the tectonically and ecologically sensitive regions, reducing the availability of suitable built-up land while simultaneously increasing the vulnerability of both communities and environment. The identification of areas for sustainable built-up growth is of paramount importance to address the challenges arising from unregulated urban expansion. In this study GIS-based Fuzzy-AHP technique and machine learning algorithms (SVM and BN) were employed to delineate the potential built-up sites selection in Hawalbagh Block, Uttarakhand (India) using nine socio-physical drivers, including slope, aspect, LU\/LC, distance to road, distance to drainage, distance to lineament, distance to landslide, distance to settlement, and lithology. The suitability maps generated by the three methods were validated using AU-ROC analysis, which demonstrated that each approach produces outstanding results with AU-ROC values more than 0.90. The comparison of the approaches shows that SVM (AUROC=0.99) outperforms BN (0.95) and GIS-based Fuzzy-AHP (0.90). The suitability maps were classified into five suitability classes. Assuming that very high and high suitability classes are acceptable for built-up expansion, the study identified potential built-up locations in the study region covering an area of 148.86 km2<\/sup>, 85.23 km2<\/sup>, and 55.25 km2<\/sup> according to the Fuzzy-AHP technique, SVM model, and BN model, respectively. The suitability zonation in this study can serve as a foundation for the development of land-use policy or the formulation of master plans aimed at achieving a sustainable mountain ecology in the Kumaun Himalayas.<\/span><\/p>\n

K e y w o r d s<\/strong>: <\/em>site suitability analysis, Fuzzy-AHP, support vector machine, Bayesian Network, Kumaun Himalayas<\/em><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Unravelling the Role of Socio-Physical Drivers for Potential Built-up Site Selection in the Kumaun Himalayas Using GIS-Based Fuzzy-AHP and Machine Learning Akash TIWARI1, Manish KUMAR*1, Syed Irtiza MAJID1, Sourav BHADWAL1, Naresh Kumar VERMA2, Dinesh Kumar TRIPATHI3, Subhash ANAND4 *\u00a0Corresponding author 1 Central University of Haryana, School of Basic Sciences, Department of Geography, Jant-Pali, Mahendragarh, Haryana, … <\/p>\n

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