PROJECTS
Latest Projects
Evacuation vulnerability index
Developed ArcGIS tools to identify & analyze vulnerable populations. The user of the tool has to identify the related socioeconomic factor, and select a name of the county, the tool will show population of which area are most vulnerable and need support in hurricane. As an input census block data will be used for demographic and structural conditions, personal traits, and special needs of populations.
Evacuation demand prediction with model
I have created a synthesized population using iterative proportional fitting in Python for 4 counties of Florida. The synthesized population had only demographic and socio-economic data, and using GIS spatial attribute like evacuation zone, order and risk of surge and wind are added to the synthesized household data. Then using output from a meta-analysis mode models, estimated household of which location will evacuate in different evacuation situation.
Fuel demand estimation
Using the evacuee household I am calculating how much gas will be needed, and what will total demand of gas in each exits of evacuation route. AequilibraE Python package and QGIS is being used for trip evacuation trip distribution using gravity model. Using the travel time and speed and MPG, demand of fuel will be calculated.
Statistical meta-analysis of evacuation behavior
I have created a synthesized population using iterative proportional fitting in Python for 4 counties of Florida. The synthesized population had only demographic and socio-economic data, and using GIS spatial attribute like evacuation zone, order and risk of surge and wind are added to the synthesized household data. Then using output from a meta-analysis mode models, estimated household of which location will evacuate in different evacuation situation.
Crash with distance modeling
I calculated distance of crash from home in time. For this I used Network analysis tool, OD cost matrix. The origin was the home location, and the destination was crash location. Using the OD cost matrix and R calculated distance from home for each crash. Graph was created graphs can be created for different severity of crash with distance however the model found the distance insignificant.
Crash analysis
I have created a synthesized population using iterative proportional fitting in Python for 4 counties of Florida. The synthesized population had only demographic and socio-economic data, and using GIS spatial attribute like evacuation zone, order and risk of surge and wind are added to the synthesized household data. Then using output from a meta-analysis mode models, estimated household of which location will evacuate in different evacuation situation.
Evacuation route exits analysis
Using the closest facility analysis, determined people of which block group will take which exits during evacuation and analysis probability of bottle neck on the exits. With different groups of block groups for different exits business analyst online used to check the suitability analysis. Nice infographics were also created to compare households taking different exits.
Feasible location for future rail station
Determine feasible location for future rail station in Hillsborough county. Considering location land use and urban structure density an existing vacant land were identified to accommodate at least 100 parking space and facilities. With the network data service areas of these station were generated and analyzed.