Please use this identifier to cite or link to this item: https://cris.library.msu.ac.zw//handle/11408/5259
Title: Google Maps Aided Land Availability System for Chitungwiza Municipality
Authors: Tafadzwa Chinhava
Tatenda T. Gotora
Addlight Mukwazvure
Prudence Kadebu
Gladman Jekese
Mohamed Ben Ahmed
Dr. Anouar Abdelhakim Boudhir
Ali Younes
School of Information Sciences and Technology, Harare Institute of Technology, Box BE277 Belvedere, Harare, Zimbabwe
Department of Computer Science and Information Systems, Midlands State University, P Bag 9055, Gweru, Zimbabwe
School of Information Sciences and Technology, Harare Institute of Technology, Box BE277 Belvedere, Harare, Zimbabwe
School of Information Sciences and Technology, Harare Institute of Technology, Box BE277 Belvedere, Harare, Zimbabwe
School of Information Sciences and Technology, Harare Institute of Technology, Box BE277 Belvedere, Harare, Zimbabwe
Association Méditerranéenne des Sciences et Technologies, Tangier, Morocco
Association Méditerranéenne des Sciences et Technologies, Tangier, Morocco
Faculty of Sciences, Présidence UAE, Tétouan, Morocco
Keywords: Local municipalities
Land availability
Alert systems
Google maps
Global positioning system
Geographic information system
Issue Date: 7-Feb-2019
Publisher: Springer, Cham
Abstract: The current local municipalities’ bureaucracy and the slow manual processing of land enquiry and status checking is frustrating. Firstly information dissemination in respect to land availability is mostly through state media like newspapers on random dates and an online classified.co.zw platform which either most people don’t buy or have little access to. Secondly municipality uses a traditional file system with many details of land imprinted on files which makes tracking land status very difficult. This research scrutinizes selected alert systems and proposes a Land Availability Alert System (LAAS). An incremental process model was used for implementation to incorporate changing system requirements along with agile methods. The LAAS implementation will consist of a three-tier architecture with a centralized database (MySQL database), a Web and mobile application (Android app). The proposed solution will enable users (i.e. land seeker, surveyor, staff) to log into their account and carry out all operations (check land status, view advertised land etc.) receiving alerts via Google Cloud Messaging from a remote location without visiting the municipal offices saving time and transport expenses. Moreover a centralizing information will result in better recover plan and information retrieval. Google Maps Application Programming Interface (API) was used for visualization and accurate land location using Global Positioning System (GPS) land location.
URI: https://cris.library.msu.ac.zw//handle/11408/5259
Appears in Collections:Book Chapters

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