Volume XLII-5
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5, 117-121, 2018
https://doi.org/10.5194/isprs-archives-XLII-5-117-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5, 117-121, 2018
https://doi.org/10.5194/isprs-archives-XLII-5-117-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  19 Nov 2018

19 Nov 2018

QUALITY OF URBAN LIFE: IDENTIFICATION OF LIVABLE URBAN SPACES WITHIN MUMBAI METROPOLITAN REGION

N. Gawai1 and A. Phadke2 N. Gawai and A. Phadke
  • 1CHM College, Ulhasnagar, India
  • 2Department of Geography, University of Mumbai, India

Keywords: LANDSAT, green spaces, NDVI, Green space index, livability index, psychological health

Abstract. The quality of urban life has become one of the most pertinent issues in contemporary times in India. There have been several reports published by government and nongovernmental agencies listing out various dimensions of quality of urban life but in a half-hearted manner as some reports have focused just upon the quality of urban air or some governmental reports talk about Human Development Index. There has hardly been any holistic effort to scale the quality of urban life in terms of economic, social, cultural, environmental and psychological well-being. Unless all these parameters are combined, one cannot furnish the livability index of micro urban spaces within major metropolitan regions. The calculation of livability index thus needs to take into account environmental, socio-economic and mental dimensions. The environment related data has been achieved by extracting NDVI through LANDSAT satellite imagery for the month of May, 2018. NDVI has been used for calculating green spaces index. The data related to socio-economic parameters have been collected through primary and secondary sources of data. The data related to psychological health is gathered through questionnaire survey and personal interviews. Ranking based index calculation has been applied to arrive at a common livability index of select sub spaces in Mumbai Metropolitan Region. The outcomes are very interesting and helpful in comparative analysis of select sub-spaces vis-à-vis quality of life. It has also helped in the identification of stressed sub-regional or micro spaces. Such livability index will be highly useful in regional and urban planning. The research aims at calculating livability index for select sub-regional spaces in Mumbai Metropolitan Region.