Portfolio 2016-25: GIS Planning, 3D Design & Community Services

 

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COPING WITH DATA DEFICIENCY FOR POST PANDEMIC LOCAL AREA PLANNING USING OPEN SOURCE GIS & IMAGE ANALYSIS (ITPI Journal 19 x 4, October – December 2022 ISSN: L0537-9679)

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https://www.itpi.org.in/uploads/journalfiles/journal-19%C3%974.pdf

Acknowledgements

I would like to express my appreciation to ITPI (Institute of Town Planners, India) for enabling me to complete this paper for submission at the 70th National Town & Country Planners Conference in Bhopal, India on 15/04/2022. I am grateful to the Urban Development and Housing Department, Government of Jharkhand, for enriching my knowledge and experience to address issues and challenges in local-level planning. I would also like to thank all the department heads, seniors, friends, and family members for their support and encouragement. I extend a special thanks to my father, Dr. Tej Narayan Jha, for consistently inspiring me to apply my technical and professional skills in finding methodologies and solutions for real challenges at the grassroots level.

Land Classification in Bihar (2014)

 

Implementation of GIS based Master Plans Formulation under the sub-scheme of AMRUT - Jharkhand (ArcIndia_News_Magazine_Dec_2020_Vol14issue2)

Download Publication (page 29-33) (ArcIndia_News_Magazine_Dec_2020_Vol14issue2)

 URL Link: ArcIndia News Archive  Publication of Vol 14, Issue 2  

AN APPROACH TO EMERGENCY PLANNING WITH OPEN SOURCE GIS & IMAGE ALALYSIS TOOLS USING INTERPOLATION TECHNIQUE In the wake of COVID – 19 PANDEMIC Year 2020-2021

 

Coronavirus is difficult to contain in dense and crowded areas having narrow lanes and streets that makes social distancing a real challenge during times of pandemic and restricts access to light, ventilation and outside view for psychological well being of people. So is the case with the selected study area Hindpiri, which is situated at the core of Ranchi city in India. The Geographic area of Ranchi being 652 sq km has population of 10.7 lakh approx. Hindpiri is a dense area with cultural diversity and mixed socio economic fabric, 1^st hit by covid19 in March 2020. 

Hindpiri, may qualify to have implemented planning schemes launched by Government of India like Local Area Plan (LAP) and Town Plan Schemes (TPS) mainly to curb dense urban sprawl, which intensifies most challenges during pandemic times. Land pooling for development through such schemes would require a different strategy due to prevailing CNT and SPT acts (Chhotanagpur Tenancy Act, and Santhal Pargana Tenancy act) on tribal land that imposes restrictions on land transfers.

The project outlines a method to estimate areas of various land use data and built density volumes from satellite image using raster classification and interpolation methods. Then the project focuses on developing a scientific, data driven multi criteria and participatory planning process, Leveraging the strength of GIS and remote sensing that allows addressing all issues of cities related to diverse demographics, culture, socio economic conditions at local levels, existing infrastructure, built environment and land use. In accordance planning recommendations would be made from pandemic point of view. 

Urban sprawl and expansion in a city is controlled by allocating a standard FSI (Floor Space Index), a tool that may be backed with evaluation on multiple criteria’s like existing infrastructure, services, utilities and access types of land parcels.The land parcels would be identified as donor / receiving areas for consuming proposed allowable FSI as incentives in exchange to contributing for creating government’s land bank for providing amenities in lines with LAP scheme. All other design elements would be planned in accordance comprising subdivision of project area into manageable health districts having special access to interconnected underground emergency service corridors, identification of potential convertible urban spaces for transforming into quarantine facilities/ Hospitals, followed by recommendations on Architectural aspects.

Instilling trade of FSI through TDR (Transfer Development Rights) within project area would allow ‘dedensification’ of potential Donor land parcels (having low allowable built density) and ‘densification’ of receiving land parcels (having higher allowable built density) as identified in proposed built density maps. The tribal lands in Jharkhand cannot be sold to nontribal people as per the prevailing CNT and SPT tenancy acts but it may be gifted to government for land pooling / acquisition for providing better amenities, healthcare facilities, public spaces at Hindpiri. 

Cities have limited space hence urban spaces need to be convertible/ transformable and multipurpose. Identified open spaces/ Parks/ existing malls/ offices/ hotels etc may convert into quarantine facilities or emergency health care facilities with use of prefab construction techniques/ 3D printing technologies in construction.

Independent Work - Route analysis, Cut Fill & Volumetric calculation with GIS 2014

Route Analysis and Cut Fill Analysis using QGIS (open source GIS) from Pallavi Jha

GIS Based Sustainable Growth Model for South College Station, TX - Video Presentation 2010

GIS based Site Suitability Analysis (Participatory Approach) click to view video presentation

March-September 2010: GIS Based Sustainable Growth Model for South College Station. Work experience with the city of College Station,TX. A video presentation can be viewed on Youtube.

This project has developed a growth model for south College Station area, exploring the viability of incorporating sustainable development concepts in a real world scenario. The methodology involves participatory approach for multi objective decision making with GIS based analytical process. The project uses analytical hierarchy process in map overlays and map algebra for locating community swimming facility; uses vector analysis for incorporating street furniture on bike and pedestrian ways and for finding target areas to implement sustainable energy practices. 

The project recommends strategies for developing the upcoming south College Station area through the defined goals and objectives attributing to the cause of sustainable development in an incremental way, and then using them in a GIS based analysis for practical implications. The goals and objectives in compliance with the comprehensive plan 2009 have made sustainable and cost effective recommendations. The project's is to identify the most favorable site for the allocation of a community swimming facility against many upcoming private pools, addressing the issue of water conservation in the city of College Station. The site suitability analysis based on Analytical Hierarchy Process has been used for this goal using the criteria of land use plans, walkibility to the existing neighborhoods, proximity to the new development areas, access to the main roads and market land values in GIS based modeling. The participatory approach in this analysis has helped achieve unbiased results in the weighted overlay map outputs.

The second goal aims for identifying sites for installing street furniture that will also suffice the need of natural surveillance on streets. The installation is planned in a prioritized manner by conducting GIS based vector analysis for this goal. The installation will take place dispersively in phases for benefiting a larger population in one go than pouring the initial resources in a concentrated area. Recycled materials are recommended to be used for the construction at the least possible cost and solar powered advertisement billboards have also been recommended on some of the street furniture for recovering the cost in the long run.

Conclusion: The GIS based sustainable growth model for the south of College station is a strategy based planning method which focuses on project viability in terms of cost, time and resources. Issues of water conservation, environment, neighborhood safety and aesthetics are tackled by using GIS based modeling with raster and vector calculations. Multi Objective Decision making, using Single Output Map Algebra (SOMA) was used with a participatory approach in evaluating scores by pair wise comparison in the analytical hierarchy process that has brought less biased results in map outputs.

Project Report for GIS based Sustainable Growth Model for south College Station, TX. 2010

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