A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Modelling Urban transition using Cellular Automata based Sleuth modelling
Changes in urban dynamics has direct linkages between human beings and its surroundings. Present decade has seen tremendous alterations in the built environment and therefore its negative effect on natural ecosystem. This paper attempts to assess land use change scenario and urban growth prediction for historical capital of central India, Bhopal. Land use analysis performed using maximum likelihood classifier revealed the immediate attention required for growing urban trends. A steep increase in urban areas of 4.90% to 8.67% was observed within a span of seven years for the present decade. In order to understand future urban growth in the city, we employed Cellular Automata based Sleuth model, by testing the datasets in a three-stage simulation procedure: test, calibration and prediction. Bhopal city is currently undergoing transformation from rural urban scenario and therefore facing growth pressure and due to various growth sectors including housing, transport and industrial sector. By urban pattern analysis indicates that unplanned urban growth. Considering business as usual scenario, input layers were carefully selected for the model by considering city development plans and delineating waterbodies etc., Output from the SLEUTH analysis suggest an alarming rate of increase in urban area of 779 km2 from the year 2017 to 2026. Results help planners and government authorities to visualize, strengthen existing policy measures to build future cities in alignment with sustainable goals and promising the community with pristine environment.
Modelling Urban transition using Cellular Automata based Sleuth modelling
Changes in urban dynamics has direct linkages between human beings and its surroundings. Present decade has seen tremendous alterations in the built environment and therefore its negative effect on natural ecosystem. This paper attempts to assess land use change scenario and urban growth prediction for historical capital of central India, Bhopal. Land use analysis performed using maximum likelihood classifier revealed the immediate attention required for growing urban trends. A steep increase in urban areas of 4.90% to 8.67% was observed within a span of seven years for the present decade. In order to understand future urban growth in the city, we employed Cellular Automata based Sleuth model, by testing the datasets in a three-stage simulation procedure: test, calibration and prediction. Bhopal city is currently undergoing transformation from rural urban scenario and therefore facing growth pressure and due to various growth sectors including housing, transport and industrial sector. By urban pattern analysis indicates that unplanned urban growth. Considering business as usual scenario, input layers were carefully selected for the model by considering city development plans and delineating waterbodies etc., Output from the SLEUTH analysis suggest an alarming rate of increase in urban area of 779 km2 from the year 2017 to 2026. Results help planners and government authorities to visualize, strengthen existing policy measures to build future cities in alignment with sustainable goals and promising the community with pristine environment.
Modelling Urban transition using Cellular Automata based Sleuth modelling
Chandan, M. C. (author) / Bharath, H. A. (author)
2018-11-01
344604 byte
Conference paper
Electronic Resource
English
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