Abstract
The paper deals with the comparison of cities, which will allow to identify reserves in the management of public funds and in the provision of services to its residents. The first step in the comparison is to determine the parameters that can be used to compare a set of cities. An appropriate choice of parameters allows performance comparison across a wide range of areas. A very interesting method for comparison seems to be the DEA method, which allows a relative comparison of a set of cities. Relative comparisons are advantageous if the best values of the parameters that can be achieved are not known, but at the same time it is necessary to compare comparable cities. The paper describes the use of DEA method for comparing cities with each other. The DEA description includes an illustrative example showing the differences between VRS, CRS, and FDH models. The paper also describes the software application that is developed for the purpose to compare the efficiency of municipalities. The paper describes the architecture of the application, its functions, and print screens from the web interface.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Definition - What Does Smart City mean? (2019). Available from https://www.techopedia.com/definition/31494/smart-city
Přibyl, P., Přibyl, O.: Definition of a Smart Street as Smart City’s building element. In: Smart Cities Symposium Prague (2015). https://doi.org/10.1109/SCSP.2015.7181575. ISBN: 978-1-4673-6727-1
Charnes, A., Cooper, W.W., Rhodes, E.: Measuring the efficiency of decision making units. Eur. J. Operat. Res. 2, 429–444 (1978)
Cooper, W.W., Park, K.S., Yu, G.: IDEA and AR-IDEA: models for dealing with imprecise data in DEA. Manag. Sci. 45, 597–607 (1999)
Kao, C., Liu, S.T.: Fuzzy efficiency measures in data envelopment analysis. Fuzzy Set. Syst. 119, 149–160 (2000)
Jablonský, J., Dlouhý, M.: Modely hodnocení efektivnosti produkčních jednotek. Professional Publishing, Praha (2004)
Deprins, D., Simar, L., Tulkens, H.: Measuring labor inefficiency in post offices. In: Marchand, M., et al. (eds.) The Performance of Public Enterprises: Concepts and Measurement, pp. 243–267. Elsevier, Amsterdam (1984)
Package deaR (2019). Available from https://www.uv.es/vcoll/deaR.html
Acknowledgment
This work is solved within the project “Application of Nonparametric Methods (DEA) to Analyze and to Compare the Efficiency of Municipalities” that is supported by TAČR (Technology Agency of the Czech Republic), program Eta (project code TL01000463).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Jerabek, M., Kubat, J., Fabera, V. (2020). Method to Comparison of Cities. In: Knapcikova, L., Balog, M., Peraković, D., Periša, M. (eds) New Approaches in Management of Smart Manufacturing Systems. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-40176-4_7
Download citation
DOI: https://doi.org/10.1007/978-3-030-40176-4_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-40175-7
Online ISBN: 978-3-030-40176-4
eBook Packages: EngineeringEngineering (R0)