Abstract
The practice of administrative and commercial organizations dealing with urban space is firmly connected with the use of various types of automated information processing systems. Custom and boxed desktop and network solutions, data storage systems, GIS systems are used to monitor and manage the urban infrastructure, as a system as a whole, as well as its components. Over the past few years, a number of developments have emerged that offer cloud processing of spatial-temporal data for particular territories or branches, such as transport infrastructure. The paper describes an approach to building such a system of collecting, preprocessing and presenting infrastructure data, which allows creating an ecosystem for working with urban spatial information online for any territory. The features of the implementation of the basic software components for managing data on urban infrastructure, including issues of aggregation and storage organization, are disclosed. An approach to the systematic accumulation and preprocessing of data obtained by paralleling the process of parsing open network sources, using proxy protection against failure to receive updates, and extracting a structured description of infrastructure objects is proposed. The presented research and development are carried out within the framework of development by UCLab “UrbanBasis” the concept of an Online Operating System for work with urban infrastructure data, which implies the possibility of building additional services on its basis. Testing of this concept is presented on the example of creating a specialized data processor, which is a module for constructing a short-term value prediction of real estate objects using regression models.
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Acknowledgements
The reported study was funded by the Russian Foundation for Basic Research (RFBR) according to the research project No. 18-37-20066_mol_a_ved, and by RFBR and the government of the Volgograd region of the Russian Federation grant No. 18-47-340012_r_a. The authors express gratitude to colleagues from UCLab involved in the development of UrbanBasis.com project.
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Parygin, D., Kozlov, D., Sadovnikova, N., Kvetkin, V., Soplyakov, I., Malikov, V. (2019). Development the Online Operating System of Urban Infrastructure Data. In: Kravets, A., Groumpos, P., Shcherbakov, M., Kultsova, M. (eds) Creativity in Intelligent Technologies and Data Science. CIT&DS 2019. Communications in Computer and Information Science, vol 1084. Springer, Cham. https://doi.org/10.1007/978-3-030-29750-3_16
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