City services provision assessment algorithm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F22%3A00130435" target="_blank" >RIV/00216224:14310/22:00130435 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.procs.2022.10.211" target="_blank" >https://doi.org/10.1016/j.procs.2022.10.211</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.procs.2022.10.211" target="_blank" >10.1016/j.procs.2022.10.211</a>
Alternative languages
Result language
angličtina
Original language name
City services provision assessment algorithm
Original language description
The paper is dedicated to the problem of computational urban science to estimate availability of urban services with limited capacity. The applied side of the problem is related to the need to assess the provision of citizens living in residential buildings in the city with a sufficient number of places of city services, such as kindergartens, schools, clinics, and others. This information is necessary for the qualitative management of the socio-economic and spatial development of the city. The computational complexity of the problem is associated with a great variety of factors that determine the variability of the citizens' preference function when accessing a particular service. It is further complicated by the presence of self-organization processes within this system, which lead to the actual final satisfaction of the citizens' service demand but with significant deviations from the required parameters of service availability established in regulatory documents or the optimal state of the system. Since validation of such models for large cities is difficult or impossible, this requires the development of new computational approaches for assessing the provision of the population with urban services based on the optimal state of the system to improve the efficiency of city management. A proposed algorithm is based on sequential aggregation of the demand from buildings for each service object and redistribution of unserved demand between other services objects with free capacity. This approach avoids high computational complexity which arises when using nonlinear programming to calculate buildings' provision of services in large cities. The article presents the algorithm for calculating the provision of the population and demonstrates its application on the data of the city of St. Petersburg.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10100 - Mathematics
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Procedia Computer Science
ISBN
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ISSN
1877-0509
e-ISSN
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Number of pages
11
Pages from-to
93-103
Publisher name
Elsevier
Place of publication
Amsterdam
Event location
St. Petersburg, Virtual
Event date
Sep 5, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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