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RISS 인기검색어
- 검색키워드
- 저자 : Chandan M. C. (검색결과 2 건)
- 무료
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Analysing spatial patterns and trend of future urban expansion using SLEUTH
M. C. Chandan,G. Nimish,H. A. Bharath 대한공간정보학회 2020 Spatial Information Research Vol.28 No.1
With the onset of rapid urban growth in the past 3 decades, a developing country for instance India, Africa, etc. has resulted in climatic and environmental changes severely. Pace of urban growth has increased in India post 2000’s because of key driving economic factors coupled with industrial development promoting job opportunities and promising better life style. This has led to cities expanding towards periphery and rural neighbourhood causing urban sprawl. Continuous increase in the built-up area is also responsible for rise in the surface temperature modifying the rainfall patterns and affecting the biodiversity of the region. This communication focuses mainly on the recent urban growth challenges and changing land surface temperature by developing Indian cities with very minimum landscape to house burgeoning population, immediate strategies and action-plan required to mitigate negative environmental impacts and effects on human beings. Further, the study attempts to correlate the dynamic land use change, land cover, land surface temperature and future urban growth scenario for one of the most systematically planned city of India, Chandigarh. Analysis was performed using open source coding and software platforms such as GRASS, QGIS and shell scripting. The study elaborates land use modelling for the year 2025 by adopting cellular automata based open source SLEUTH model The documentation and source code of SLEUTH model are publically available. The model was tested and calibrated in three different modes: coarse, fine and full resolution. The calibration mode showed high spread coefficient suggesting the urban sprawl would take organic growth. Open source software and coding would help in increased scientific output as it would help researchers understand the code that is being implemented and helps in improvisation of exiting codes to variety of applications. Results of this study would help in developing necessary policy measures and sustainable actions that are required to reduce anthropogenic effects on urban and natural environment.
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Land allocation model using cellular automata to understand housing demand and supply
Bharath H. A.,Chandan M. C.,Vinay S.,Akshit S. 대한공간정보학회 2021 Spatial Information Research Vol.29 No.3
India is witnessing unprecedented urbanization that has led to the growth of real estate sector, particularly housing. However, since independence providing affordable housing has been a challenge. The gap of demand and supply has been ever increasing and has reached threshold levels due to congested spaces in major cities of India. This work articulates the changing patterns of spatial development in Mumbai. Mumbai has seen two types of growth in the same neighborhood. Brownfield development is highly regarded as a viable option for the physical and natural constrained city of Mumbai. This work describes the land use simulation model to understand the re-development scenario within a ward of the city of Mumbai and allocates housing demand on spatial city grid to match with maximum utility from demand-side and maximum profitability on the supply side, thus generating a map of re-developed cells at every time step. Cellular automata (CA) based platform is employed to undertake Spatio-temporal analysis. Land use maps and land use simulation through CA points out the evolving pattern of outgrowth in the city. The proposed housing redevelopment model predicts future scenarios of housing redevelopment from supply-side and spatial allocation through income class-wise location preference. The model tests the newly proposed inclusionary housing policy along with the slum rehabilitation and relocation scheme of Mumbai’s development plan 2034.
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