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Open AccessArticle

A Lightweight Collaborative GIS Data Editing Approach to Support Urban Planning

School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
Author to whom correspondence should be addressed.
Sustainability 2019, 11(16), 4437;
Received: 31 May 2019 / Revised: 31 July 2019 / Accepted: 15 August 2019 / Published: 16 August 2019
(This article belongs to the Special Issue Smart Urban Planning and Land Management)
PDF [3800 KB, uploaded 16 August 2019]


Collaborative geospatial data editing is different from other collaborative editing systems, such as textual editing, owing to its geospatial nature. This paper presents a version-based lightweight collaborative geospatial editing method for urban planning. This method extracts editing data and generates a version for collaborative editing, which reduces the data size and thus allows for a high feedback speed. A replication mechanism is engaged to replicate a version for the client to freely edit, which ensures constraint-free editing in collaboration. Based on this method, realizing the fact that heterogeneous geospatial data and non-professional users are involved, a lightweight architecture, integrating web services, and component technologies, was proposed. This architecture provides a unified data access interface and powerful editing ability and ensures a high feedback speed and constraint-free editing. The result of the application of the proposed approach in a practical project demonstrates the usability of collaborative geospatial editing in urban planning. While this approach has been designed for urban planning, it can be modified for use in other domains. View Full-Text
Keywords: urban planning; collaboration; version; replicate urban planning; collaboration; version; replicate

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Jing, C.; Zhu, Y.; Fu, J.; Dong, M. A Lightweight Collaborative GIS Data Editing Approach to Support Urban Planning. Sustainability 2019, 11, 4437.

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