コロンボ市の機能的・形態的ダイナミックス:都市リモートセンシング・アプローチ
Project/Area Number |
15J00611
|
Research Category |
Grant-in-Aid for JSPS Fellows
|
Allocation Type | Single-year Grants |
Section | 国内 |
Research Field |
Human geography
|
Research Institution | University of Tsukuba |
Principal Investigator |
SUBASINGHE SHYAMANTHA 筑波大学, 生命環境科学研究科, 特別研究員(DC2)
|
Project Period (FY) |
2015-04-24 – 2017-03-31
|
Project Status |
Completed (Fiscal Year 2016)
|
Budget Amount *help |
¥1,700,000 (Direct Cost: ¥1,700,000)
Fiscal Year 2016: ¥800,000 (Direct Cost: ¥800,000)
Fiscal Year 2015: ¥900,000 (Direct Cost: ¥900,000)
|
Keywords | GIS / Remote Sensing / Urbanization / Spatial analysis / Geography / Colombo / City / Urban growth / RS / Fieldwork / Metropolitan area |
Outline of Annual Research Achievements |
This research investigated the spatiotemporal dynamics of urban process since the 1990s and future potential urban development. Remote sensing and GIS, land-change intensity analysis, MSPA, fieldwork techniques, and land-change modeling were applied mainly in order to characterize the urban process and predict the future urban development potentials.Results indicated that the urban land in the CMA has increased over the last two decades (1992-2014) with a higher area dominance of sparse growth. The ULU change prediction results revealed that the ULU would increase into 53,510 ha in 2030. The major transport corridors and the growth nodes will have a great influence in the future spatial patterns of urban growth, and the urban lands will be dense due to infill development. Prediction results further indicated that there are some limitations in introduced urban planning scenarios of the government’s master plan due to its less consideration regarding the spatial pattern of future urban growth pattern. Thus, the consideration of the results of this research will be important in forming future urban planning scenarios. This empirical study not only has identified past, present and potential future urban process, but also introduced new methods and techniques that can be applied to detect the urban process in a data-sparse urban environment, which is advantageous for developing countries.
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Research Progress Status |
28年度が最終年度であるため、記入しない。
|
Strategy for Future Research Activity |
28年度が最終年度であるため、記入しない。
|
Report
(2 results)
Research Products
(9 results)