جستجوی مقالات مرتبط با کلیدواژه « مخدوم » در نشریات گروه « جغرافیا »

Urban property survey is one the of municipality activities for development and updating of the spatial database of the urban properties. With the emergence of mobile geospatial information system, new methods were developed to collect and update the location information. In mobile environment the calculations depend on to tasks undertaken and user dynamic environment. Reduction of user direct interaction with the system is one of the most important factors for system automation and leads to reduction of the human errors in collection and updating information. This can be done by understanding user situation using context information so that suitable maps and attribute information can be provided to the user at right place. Urban property survey information is a sample of spatial information that can benefit from such systems.
The objective of this paper is to identify the role of context-aware mobile GIS in urban property survey, standardization and optimization of urban property survey process and identification of the implementation methods to present suitable spatial information relevant to the user’s context and also intelligent user interfaces for enhancement of the system capabilities. In addition to the client-server architecture, a stand-alone architecture is used in the system design and implementation for this research to prevent the survey process failure in case of disconnecting from server. Finally, Tehran urban blocks are used to test the system and the obtained results compared to the results of two former municipality urban property surveys. The results indicate their required time for data collection in the proposed method compared to the two Tehran urban property survey periods has been reduced to 50% and the time between spatial and attribute data collection and their upload to municipality database reduced nearly 100%. By using this system, direct interaction of the surveyor and the system application is reduced and it has helped to upgrade automation in data collection and updating which results in enormous improvements in urban property survey process. By using the proposed method, the block and property data based on paper maps in traditional urban property survey, have been directly corrected and updated in field.