Course

Syllabus

Urbanization: Urban population; built up area measurements; introduction to Urban Geology and Terrain evaluation.  

GIS based urban planning and design, challenges of urban planning. Growth of smart cities and waste disposal management. Recycling and resource conservation. Urban heat index. Agroforestry, Changing Cities by Designing New and Extending Them – Designing Suburbs and Regions.  

Classifications of Towns and Cities in India. Assessment of urban transformations.  

Urban growth modeling concepts: Introduction to conventional and new generation models like cellular automata, markov random, agent based models and flow dynamics. 

Time-Enabled Geospatial Analysis: Python Scripting: write specialized tools, set up iterative models, and customize geoprocessing tools to fit a particular urban project objective. 

Class Project: case studies 

Skills acquired : Knowledge in using GIS techniques in city planning and development 

Course Outcome

Learning Outcomes: 

1. concepts of urbanization and urban growth 
2. GIS based Urban studies 
3. Introduction to urban growth modeling 
4. Models like cellular automata, markov random, agent based model 
5. Python scripting examples for urban applications 

1. Scholten, H. J., & Stillwell, J. (Eds.). (2013). Geographical information systems for urban and regional planning (Vol. 17). Springer Science & Business Media. 
2. Black, J. (2018). Urban transport planning: Theory and practice. Routledge. 
3. deRoo, G. (2017). Integrating city planning and environmental improvement: Practicable strategies for sustainable urban development.Routledge. 
4. Foot, D. (2017).Operational urban models: an introduction. Routledge. 
5. Peer reviewed journal papers