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A survey on Urban spatial computing system

Lookup NU author(s): Professor Raj Ranjan

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Abstract

© The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2025.As a type of information infrastructure, the spatial information system (SIS) can be used to store, process, and analyze geospatial data. The SIS-based urban spatial computing system (USCS) for multi-field urban applications is a critical platform for collecting and analyzing various heterogeneous big data in the city. However, the sources of city-related data are diverse and complex, making it hard to achieve comprehensive data integration and management in USCS. Simultaneously, the technological architecture of USCS is also evolving, requiring a holistic review of USCS-related theory and technology. This paper reviewed multiple aspects related to USCS based on existing findings, and the main points observed are as follows: (a) various data types along with their sources and acquisition methods; (b) a comparative analysis of multiple data models and database systems; (c) an elaboration of USCS application services and frontier technologies driving USCS evolution; d) discussion of typical USCS, accompanied by the presentation of a USCS architectural design proposal for reference. The review provides relevant researchers with a quick and comprehensive perspective on USCS and promotes their research in some frontier directions.

Publication metadata

Author(s): Li J, Ranjan R, Wang Y, Yan J, Huang X

Publication type: Article

Publication status: Published

Journal: Computing

Year: 2025

Volume: 107

Issue: 9

Online publication date: 19/08/2025

Acceptance date: 25/07/2025

ISSN (print): 0010-485X

ISSN (electronic): 1436-5057

Publisher: Springer

URL: https://doi.org/10.1007/s00607-025-01536-6

DOI: 10.1007/s00607-025-01536-6

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