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Baahubali 2 - The Conclusion Trailer on March Tu Hi Re 2. NTR, Samantha. Hrithik Roshan New Movie South Hindi Dubbed New Movie! Sanjay Dutt Full New Movie Keerthy Suresh Dubbing Promo - Mahanati. Especially in case of redevelopment of cessed buildings that is inviting more FSI in these areas need to be checked and thought more carefully and some alternate incentive scheme shall be designed for redevelopment projects of dilapidated buildings.

Alternate Methodology with Remote sensing data analysis Satellite images with height data will be helpful in Building density estimation with respect to its road proportions for keeping a check, while upgrading FSI index for the city. Building densities can be quite decently estimated using imagery. Alhaddad a, Methodology for estimating existing BUP with respect to road proportion using satellite data will be same as it is done for study area in this project using GIS shape files subsequently.

Some satellite images relevant to site are possible to procure and use but they involve intense raster rectification and calculation eg. During the study, I explored a lot of open sources for DEM. These open source DEM and multispectral satellite data are very useful for planners and researchers for conducting study exercises for developing good practical methodologies but they have their limitations too with missing data or voids.

DSM generation from satellite images are more challenging and open source data is not readily available for the same. This is the main reason for exploring an alternate method using GIS shape files for this study which will be discussed subsequently.

Saha, Figure 8: Saha, kakolisaha spabhopal. Final 3D City Model was generated. Figure 9 shows the 3D City model over Ortho Photo. With this method, 32 M spatial and building height accuracy can be achieved. Figure 9 8. These were corrected on scale and projection with reference to Google earthpoint. This method has been used due to no availability of Digital surface model for the area of study.

There might be some irregularities in drawings due to conversion factors and editing. Area wise densities are estimated based on assumption of 4 FSI for the study area. However, building densities are much higher in some cases as observed on site Figure 1: Nagdevi Area, Mumbai.

This implies that in existing situation, BUP for the study area is much more than assumed 4 FSI for calculation and corresponding streets to these estimated densities are also very less.

The methodology will help visualise existing Building density of an area in relation to capacity of its roads. These study highlights, how total built-up is essential be considered for assigning roads and street percentage and if area is already built, high FSI consumption shall be avoided.

The comparison is made between total built up verses area of road allocated for the area. Analysing Google Map live traffic for study area It is clear from the above demographic data that the area has very high density population and due to its high floating population, the traffic activity is much amplified.

As per the Google maps live traffic data as shown in Figure it is observed that Mohammad Ali road is the most critical link with heavy traffic volumes almost all through the day. Most of these inner roads in the area is as narrow as meters and have limited vehicular access. Nagdevi Street is non vehicular as the street is most conjusted with its narrow width and high commercial activities.

Commute time during peak traffic hour is very high. With Google data as in Figure 12, Figure 13 we can see that it takes about 10 minutes to cover a distance of 1.

Figure 9. Density of traffic flow ie. Formulas are as below but insufficient data to use these in this project. More accurate ways for calculating BUP in these old areas would be actual physical survey followed by further calculation with same method as below. Alternately satellite data will be helpful in estimating near accurate building densities and its relation with its roads and streets.

Population has been estimated for the project area based on population density which is 0. Facts indicate the difference that the roads are less than required for this area on comparison. Hence any further increase in FSI will worsen the existing situation in study area.

The same is not seen in old areas with many cessed buildings like in case of Nagdevi. The project output using vector based GIS analysis illustrates that the total built-up of an area is also essential to be considered for assigning roads and street percentage in a development and if the area is already densely built, than any further high FSI consumption shall be avoided.

The comparison is made between total built up verses area of road allocated for the study region. The area is facilitated with 9. It is important to note that out of all these roads, three roads have limited or no vehicular access that puts further more pressure on vehicular roads. These methodologies using GIS and Satellite imagery can serve as a great tool to planners and decision makers for careful evaluation while revising FSI for cities in realistic existing density scenario.

Satellite images with elevation data will also help detect illegally built buildings that have consumed disproportionate FSI. Planning authorities can take advantage of these technologies. Figure 23 Primary Existing Landuse Survey. Accommodation Times. I have only a first name and a last The Name is Misty Christiansen, and from Colorado. We worked at First Union How can I locate the new one or find him?

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