Geographical assessment of urban utilities in Pune Municipal Corporation region with changing urban population

Cover Page

Cite item

Full Text

Abstract

The rapid growth of urban area and extraordinary population growth are the most dramatic phenomenon associated with urbanization. This rapid and haphazard growth of urban sprawl and increasing population pressure results in the various adverse effects on urban environment. In India major metropolitan cities are already saturated due to large scale immigration of population. Urban centres and Metropolitan cities are growing haphazardly in all directions without proper planning. Pune is the eighth largest city in India in terms of both population and GDP driven by rapid urbanization. Pune’s population will grow up from 5.5 million to 7.7 million by 2030 and it will create severe strain on core urban infrastructure. Pune city lies between 18° 25′ to 18° 37′ North latitude and 73° 44′ to 73° 57′ East longitude. The study area covers 243.84 km2 composed of 144 general electoral wards. According to 2011 which comes under 14 administrative wards of Pune Municipal Corporation with population with 3.12 million Pune city in India is growing at a very fast rate. In the present study population changes with utility services are considered for sustainable urban environment. In Pune Municipal Corporation each ward’s population it is found that uneven distribution of various utility services which leads various problems in management and planning of Pune Municipal Corporation. For present study e-Suvidha centres and 24 hours open medical stores are considered. In PMC 88 e-Suvidha centres and 124 medical stores which are day and night are available. Hadapsar administrative ward has maximum number of population in PMC. In 2011, this ward has 3 240 751 populations. This ward has 16% Maha e-Suvidha centres, 12% medical stores which are 24 hours open. When these available utilities are compare with wards total population it is notice that the ratio of number of population and available utility services are not properly distributed with various geographical parameters.

About the authors

V Nagarale

Shreemati Nathibai Damodar Thackersey Women’s University

Email: drnagarale@gmail.com
Professor and Head Department of Geography, S.N.D.T. Women’s University Pune Campus Maharshi Karve Vidyavihar, Karve Road, Pune 411038, India

References

  1. Bane R., Rawal A. (2003). GIS for land use patterns and land transformation - a case study of Anand City. Indian Cartographic.
  2. Bhailume S. (2011). An Assessment of Urban Sprawl using GIS and remote sensing technique - a case study of Pune-Pimpri-Chinchwad Area’ (PhD Thesis. Tilak Maharashtra Vidyapeeth, Pune).
  3. Dash S., Ray D. (2005). e-Governance: case studies. Available at: www.csi-sigegov.org>casestudies Datta P. (2006). Urbanization in India, regional and sub-regional population dynamic population process in urban areas, European Population Conference
  4. David B. and et al. (2006). The Property Tax: its role and significance in Funding state and local government services. George Washington Institute of Public Police (GWIPP), The George Washington University
  5. Deshpande C.D. (1971). Geography of Maharashtra. National Book Trust, New Delhi
  6. Epstein J., Payne K., Kramer E. (2001). Techniques for Mapping Suburban sprawl. Photogrammetric Engineering and Remote Sensing, 63(9), 913-918
  7. Erle E. (2010). Land-use and land-cover change. Climate Change. Available at: http://www.eoearth. org/article/Land-use
  8. Jaykumar S., Arockiasamy J.J. (2003). Land use/land cover mapping and changes detection in part of Eastern Ghats of Tamil Nadu using remote sensing and GIS. Journal of the Indian Society of Remote Sensing, 31(4).
  9. Jha V.C., Hazar P.B. (1993). Land-use/land cover analysis of Deoghar Upland using remote sensing techniques. The Deccan Geographer, XXXI(1).
  10. Kadam A. (2013). Application of GIS in urban landuse changes in the PCMC (Pimpri Chinchwad Municipal Corporation) (Unpublished PhD Thesis. S.N.D.T. Women’s University, Mumbai).
  11. Kewalramani G. (2002). Land use changes in the peri-urban interface of Mumbai: a case study of the Vasai-Virar lowlands, managing the Urban Fringe of Indian Cities. Institute of Indian Geographer, University of Pune.
  12. Kulshreshtha V., Maheshwari S. (2011). Blood bank management information system in India. International Journal of Engineering, 1(2)
  13. Kulshreshtha V., Maheshwari S. (2012). Benefits of management information system in blood bank. International Journal of Engineering and Science, 1(12), 5-7
  14. Manonmani R., Suganya G. (2010). Remote sensing and GIS application in change detection study in urban zone using multitemporal satellite. International J. of Geomatics and Geosciences, 1(1).
  15. Nagarale V.R., Ohal A.S. (2017). Changing urban landuse in Pune Municipal Corporation, Pune, Maharashtra: 1981-2011. Maharashtra Bhugolshastra Parishad, 34(2), 1-8.
  16. Prasad V.K. et al. (2001). Measuring urban sprawl: a case study of Hyderabad. Available at: https://www. geospatialworld.net/article/measuring-urban-sprawl-a-case-study-of-hyderabad/
  17. Shekhar S. (2005). Monitoring urban sprawl of Pune by using remote sensing and GIS technique (PhD Thesis. University of Pune).
  18. Sokhi B.S., Rashid S.M. (Eds.) (1999). Remote sensing of urban environment. Manak Publications Ltd., Delhi.
  19. Sudhira H.S. et al. (2003). Urban growth analysis using spatial and temporal data. J. Indian Soc. Remote Sensing, 31(4).
  20. Walsh S.J. et al. (2001). A multiscale Analysis of LULC and NDVI variation in Nang Rong district, Northeast Thailand. Agriculture, Ecosystems and Environment, 85, 47-64.
  21. Zope R.P. (2013). The planning strategies for urban land use pattern: a case study of Pune City, India. International Journal of Innovative Research in Science and Engineering and Technology, 2(7)

Supplementary files

Supplementary Files
Action
1. JATS XML

Согласие на обработку персональных данных

 

Используя сайт https://journals.rcsi.science, я (далее – «Пользователь» или «Субъект персональных данных») даю согласие на обработку персональных данных на этом сайте (текст Согласия) и на обработку персональных данных с помощью сервиса «Яндекс.Метрика» (текст Согласия).