PECULIARITIES OF FORMATION INFORMATION-ACCUMULATED (BIG DATA) MODELS OF THE CITY

Authors

Abstract

The article outlines the principles of building an information-accumulative model for analyzing the function and development of a city. The model allows to reveal the hierarchical system of processes of its vital activity and to estimate the degree of their influence on the city as an open dynamic system. This in turn makes it possible to determine the urgency and importance of making the necessary decisions, to avoid a number of systemic mistakes and to forecast the directions of the city's life, potentially dangerous for its stable existence.

As a result, we get a model that can track and manage complex information flows, analyze them and combine data according to predefined parameters.

In addition, thanks to the feedback that has appeared, the model is a tool for forecasting and approbation of changes made to the city. This allows you to determine the urgency and significance of decisions, allows you to predict, and thus avoid a number of system errors that can be critical in influencing the situation in the city.

Keywords: information, city, development, model, prognostication, system.

Author Biography

, Kharkiv National University of Construction and Architecture

кандидат архітектури, доцент кафедри містобудування та урбаністики

References

Література

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http://archspeech.com/article/karlo-ratti-o-10-urban-innovaciyah-kotorye-izmenyat-nashi-goroda

Sobolevsky, S., Sitko, I., Tachet des Combes, R., Hawelka, B., Arias, J.M. & Ratti, C. (2014) Money on the Move: Big Data of Bank Card Transactions as the New Proxy for Human Mobility Patterns and Regional Delineation — The Case of Residents and Foreign Visitors in Spain, IEEE International Congress on Big Data, 136–143.

Kitchin, R., Lauriault, T., McArdle, G. (2015). Knowing and governing cities through urban indicators, city benchmarking and real-time dashboards. Regional Studies, Regional Science, 2 (1), 6–28.

Kitchin, R. (2014 b). The real-time city? Big data and smart urbanism. GeoJournal, 79(1), 1–14.

Kelling, S., Hochachka, W., Fink, D., Riedewald, M., Caruana, R., Ballard, G., Hooker, G. (2009). Data-intensive science: A new paradigm for biodiversity studies. BioScience, 59 (7), 613–620.

Batty, M. (2013). The new science of cities. Cambridge, MA: MIT Press.

Foth, M. (2009). Handbook of research on urban informatics: The practice and promise of the real-time city. New York: IGI Global.

References

Kitchin, Rob. (n.d.) Upravlyayemyy dannymi setevoy urbanizm. Irlandskiy natsional'nyy universitet v Meynute. Maynooth, Co. Kildare, Ireland. Retrieved from

https://cyberleninka.ru/article/n/upravlyaemyy-dannymi-setevoy-urbanizm.

Kitchin, R. (n.d.) The real-time city? Big data and smart urbanism. GeoJournal, 79 (1), Р. 1–14

Dodge, M., Kitchin, R. (2005). Codes of life: Identification codes and the machine-readable world. Environment and Planning D: Society and Space, 23(6), 851–881.

Italo Kal'vino (2011) Pamyat' mira. Kosmikomicheskiye istorii: rasskazy, 437.

Schmidt, Е. (2010) «Google», Techonomy Conference, Lake Tahoe, CA, August 4, 2010, presentation at a panel discussion with Debby Hopkins, Kevin Kelly, and Lisa Randall, moderated by David Kirkpatrick.

Karlo Ratti (n.d.) O 10 innovatsiyakh, kotoryye izmenyat nashi goroda. Gorod zavtrashnego dnya. Retrieved from http://archspeech.com/article/karlo-ratti-o-10-urban-innovaciyah-kotorye-izmenyat-nashi-goroda

Sobolevsky, S., Sitko, I., Tachet des Combes, R., Hawelka, B., Arias, J.M. & Ratti, C. (2014) Money on the Move: Big Data of Bank Card Transactions as the New Proxy for Human Mobility Patterns and Regional Delineation — The Case of Residents and Foreign Visitors in Spain, IEEE International Congress on Big Data, 136–143.

Kitchin, R., Lauriault, T., McArdle, G. (2015). Knowing and governing cities through urban indicators, city benchmarking and real-time dashboards. Regional Studies, Regional Science, 2 (1), 6–28.

Kitchin, R. (2014 b). The real-time city? Big data and smart urbanism. GeoJournal, 79(1), 1–14.

Kelling, S., Hochachka, W., Fink, D., Riedewald, M., Caruana, R., Ballard, G., Hooker, G. (2009). Data-intensive science: A new paradigm for biodiversity studies. BioScience, 59 (7), 613–620.

Batty, M. (2013). The new science of cities. Cambridge, MA: MIT Press.

Foth, M. (2009). Handbook of research on urban informatics: The practice and promise of the real-time city. New York: IGI Global.

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Published

2018-03-29

How to Cite

(2018). PECULIARITIES OF FORMATION INFORMATION-ACCUMULATED (BIG DATA) MODELS OF THE CITY. Municipal Economy of Cities. Series: «Economy Science», (140), 141–146. Retrieved from https://khges.kname.edu.ua/index.php/khges/article/view/5158

Issue

No. 140 (2018): Серія: Технічні науки та архітектура

Section

статьи

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