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Identification of Levels of Availability of Facilities: Case Study of DehraDun City
Levels of Availability of Facilities
To calculate the ward wise levels of facilities available to the population of DehraDun city indices method has been used with DehraDun’s average being considered as base. Variable weight factor has been used to emphasize the impact of different levels of buffer zones. Results of the analysis are presented in the table, buffer zone maps and map showing aggregate levels of availability of facilities. Following conclusions can be drawn from above mentioned analysis:
Bank: From the location of facility and buffer zone of 1 km, it is observed that Dharmpur danda, Defence colony, Prempur mafi and Vijay Vihar are not being served by the facility. However 77.93% of the total population is falling in this buffer zone.
Post Office: From the location and buffer zones it is evident that Dharmpur danda, Defence colony, Nehru colony east, Prempur mafi and Pathribag are not being served. Approximately 19% of the poputation live in deficit zone.
Primary School (govt.aided): The optimum distance zone is serving less than 50% of the population. However if 1km.distance zone is also considred approximately 72% of the population are being served by the facility. The deficit areas are Majra, Pathribag, Kaonli and Subhsh nagar.
Secondary School (govt.aided): The optimum distance zone of this facility is severing only 67% of the total population. However if we also include the desirable impact zone of 2 km. an additional 23% of the total population will fall within this limit. The deficit areas are Majra, Subhash nagar and Doon vihar. According to UDPFI guideline, for every 7500 population one school is needed with the strength of 1000 students. So the total no of schools required for the city is 67.However as more than one govt. aided schools are running in the same campus decentralization is urgently required. Besides, data in connection with student strength is required for further analysis.
Hospital: Less than 50% of the population fall within the optimum distance zone. However if we consider the influence zone of 3 km. approximately 71% of the total population are being served. Deficit wards are Subhash nagar, Raipur, Majra, Lakhibag and Prempur mafi. Besides, Patel nagar, Dhoran, Kaonli, Doon vihar and Vijay vihar fall in moderately deficit zone. A capital city must have a specialized medical institution at the rate of one bed per 1000 population for specialized treatment. But facility in this respect at public sector is lacking.
Health Post: Only 28% of the city population is falling within the optimum distance zone. However if we include the moderately desirable zone also, approximately 65% of the city’s population is being served. The severely deficit areas are Niranjanpur, Dharampur, Dhoran, Subhas nagar, Kaonli, Hathi barkala, Rajpur, Doon vihar, Majra, Shawli kalan and Prempur mafi. Moderately deficit zones are Race- course south, Pragti vihar and Defence colony.
Local Transport: To find out the quantum of population being served by the present route of local bus services, 500m.catchment area on both sides from the center of the road has been considered. It is evident from the analysis that only 61% of the population is being served. Rests 39% have the option of two stroke private vehicle, which increases the pollution in urban environment. Approximately 49% of the population has access to one or the other kind of local transportation system within optimum distance zone category. However if the impact of moderately desirable distance zone is also considered additional 28% can be in a position to avail the local transport facilities. Deficit zones are Dalanwala east and Prempur mafi while moderately deficit ward is Defiance colony.
Long Distance Public Transport: If we consider 5km.zone of influence the existing bus stand serves 95% of the population. However only 75% of the population is being served by the 3km buffer zone. Deficit areas are Dhoran, Rajpur and Prempur mafi.
Other Roads: To find the extent of accessibility and movement, distributor and collector roads have also been considered. Approximately 75% of the population lives within 100m buffer zone of such roads, which shows the high extent of mobility. However, road conditions should also be considered in the analysis, but it has not been considered in the present study due to time constraint.
Fire Station: Almost 40% of the study area has not been covered by the two existing fire stations if 3km optimum influence zone as prescribed by UDPFI guidelines is considered. However, if we consider 5km influence zone then 94.82% of the study area is being covered by the said service.
Aggregate Level of Facilities: For monitoring overall service conditions, which will be helpful in making decisions, such as where to give priority and where improvement programmes may be designated as a ‘package’ so that investment can be simultaneously carried out to improve the whole area to a desirable standard, all the aspects that have been separately analyzed, have been combined to get the aggregate availability situation of the infrastructure services in the study area. It is evident that some of the areas are extremely underserved hence fall under above category. These underserved areas can be designated as Prempur mafi, Dhrampur danda, Dhoran, Kaonli and Majra. Defence colony and Subhas nagar are also close to this category.
Conclusion
Present study shows that from the satellite imagery all the facilities may not be located correctly. But a combination of RS products, with use of GPS and GIS techniques provides complete information about urban areas, which are necessary for integrated development.