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Announcement
Spatial analysis of private health infrastructure- Gurugram: Major Project Part 1

Student name: Mr Sattaru Manohar
Guide: Dr Nithiyanandam Yogeswaran
Year of completion: 2019
Host Organisation: Gurugram Metropolitan Development Authority (GMDA)
Supervisor (Host Organisation): Sh. Dinesh Chauhan
Abstract:

Indian cities are experiencing a rapid growth and most of the population are migrating to urban areas for their livelihood and putting pressure on social infrastructure.one of the main aspect of social infrastructure is Health infrastructure. Especially Healthcare sector plays a very crucial role in the enhancement of the citizens and also improves the economical standards of the citizens and helps in sustainable development of communities. So, it is necessary to focus on delivering the quality of services in urban areas and also very difficult to plan social infrastructure planning with conventional methods because it is highly cost intensive. Now a days it become easy with the advancement of technology and availability of GIS based spatial analysis tools it is very easy to plan and produce dynamic maps. For the purpose of spatial analysis of private health infrastructure in the research work and processing data sets in ARCMAP to produce map for the existing private health infrastructure in the study area Gurugram. Data gathered from GIS division and buffer zones are created for clinics around 1 km, Hospitals around 2km, Multispecialty around 5 km and Super specialty around 10km. Accessibility to existing Private health infrastructure also analyzed with 100- and 500-meters buffer zones along the road networks to check whether the health infrastructure is accessible from the major road networks . Along with that a 2031 projected population density of sectors also calculated to draw a relation weather the existing healthcare facility have the capacity to cater the projected data and also with the standards according to the URDPFI guidelines. In conclusion analyzing the data in ARCMAP can find the lack of private health infrastructure spatially and at the same can also check the necessity of the healthcare facilities for the growing population.

Key words: Healthcare, Infrastructure, GIS, Spatial Analysis, Gurugram.