Use of GIS for land resumption projects in Hong Kong

by Chan, Chi-wa

(Uncorrected OCR) Abstract of dissertation entitled Use of GIS for Land Resumption Projects in Hong Kong Submitted by Chan Chi Wa for the Degree of Master of Geographic Information Systems at the University of Hong Kong in June 2004 Previously, the identification of land parcels to be affected by the land resumption exercise was conducted by overlaying the resumption limit on the paper map to locate those affected land parcels. As the relevant data related to the land and buildings are fragmented and loosely managed by various government departments and statutory bodies which is a time consuming process for data collection. However, with the implementation of the Computerized Land Information Systems (CLIS) by Lands Department, the process of locating the affected land parcels can be changed with the use of it. By reviewing the statutory rules and practices in relation to land redevelopment and land resumption, the criteria and procedures are concluded for further analysis. The existing data structure of the CLIS & the data layer required for affected interest identification will be studied. The data required for affected interests identification are to be found and analysis of data is conducted. After the data analysis, the functional requirement analysis is conducted to match the traditional procedures with the similar GIS function by means of a matrix together with an overview of the availability of required data in GIS environment. By this analysis, the feasibility of the use of GIS is assessed and the appropriate GIS functions selected to perform the affected interests identification with the recommendation on data to be incorporated into the CLIS. Besides, recommendations on expanding the current CLIS and restructuring of data structure to accommodate the affected interests identification are also made. The proposed research is aimed to explore the use of GIS to assist in identifying the affected land parcels and buildings together with the study of data format and structure required for the operations.