The Committee was severely constrained by the lack of data on the total number of properties in Delhi, covered area of such properties and other features such as age of property, the availability of civic and social infrastructure in the localities which were of immense relevance for categorization of the entire MCD into homogenous groups for the purposes of assessment of taxes; and developing a revenue simulation model both of which were essential for developing the new system for the city of Delhi. The following innovative solutions were adopted by the Committee:
(i) Division of Municipal Areas into categories
The Committee in its analysis of the unit area systems in other cities found that in most cases capital value of land or rental values have been used for the purpose of classification. However lack of a proper real estate market and suppressed rentals prevented the use of these parameters for classification of colonies/areas/localities in Delhi. Besides, it was felt necessary to capture all aspects of the general development of the colony, which would include factors like availability of physical infrastructure, social service, economic status of occupants, etc.
A Sub-Committee was constituted for the purpose which mapped the 1,908 colonies/ areas/ localities geo-coded and plotted them on the digital map of Delhi. These were then classified into seven categories on the basis of ten factors viz. estimated capital value of land, prevailing rental values, the age of the colony, the physical infrastructure, the level of services, the street on which the colony is located (approach to the colony), type of colony (planned or unauthorized), economic status of occupants and the geographical location of the colony. A classification matrix was devised. The factors were graded ‘A’ to ‘C’ based on the specific characteristics of each parameter. The grade scales were converted into a point scale and the colonies were placed in descending order of ‘A’ to ‘G’ on a scale of 100 points.
(ii) Assigning a Unit Area Value to each such category for assessment of tax and developing a revenue simulation model
Data on proportion of residential, non-residential and tenanted properties; annual rental values; current tax demand and covered space of properties presently being assessed to tax was obtained from MCD records. In addition a random survey of 10 percent sample sizes of the properties presently under assessment was designed and carried out. With the use of this sample data and other information provided by the MCD, a computerized revenue simulation model was designed and developed. GIS maps and software to study the impact of alternative tax rates and differential between categories of colonies was studied. The Committee used aerial maps and GIS data for computing the covered area based on the total area of Delhi, rural areas, open areas for roads, drains and parks etc. and a revenue simulation model was developed.
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