Share:


Algorithm for calculating the normative area of an industrial enterprise land plot

    Mykola Malashevskyi   Affiliation
    ; Natalia Kuzin   Affiliation
    ; Elena Bugaenko   Affiliation
    ; Alena Palamar   Affiliation
    ; Maria Malanchuk   Affiliation

Abstract

In the article, the problem of finding justified approaches aimed at achieving sustainable development of urban land use is presented. In Ukraine, as in many post-Soviet countries of Eastern Europe, the transition to market relations has led to a change in production technologies, a reduction in the capacity or the termination of the functioning of industrial enterprises within settlements, but the parameters of land use remained unchanged. However, today, most of the especially large cities face the problem of lack of available land for its normal development. There are trends in the reduction of green zones and building compaction, etc.


Based on the results of the established sizes of normative land plots, tax regulation of land use it is proposed to levy a tax in a fivefold amount for a portion of the land plots granted to enterprises, institutions and organizations (except agricultural land) exceeding the standards of land allotment. In the case of the excess of establishing territory for enterprises, institutions and organizations and refusal to pay increased tax, it is possible to optimize the land use by means of an equivalent exchange.


Based on the results of the conducted studies it was established that when determining the area of a land plot for an industrial enterprise, the main technical characteristic is its capacity. Modelling is carried out on the basis of data on typical sizes of land plots and enterprise capacities. It is established that a linear regression reliably approximates the dependence of the area on the capacity of the enterprise according to calculations. A detailed analysis shows that for low-capacity enterprises their area will be more reliably determined by non- linear dependence.

Keyword : modeling, linear approximation, least squares method, correlation dependence, regression equation, mean square error

How to Cite
Malashevskyi, M., Kuzin, N., Bugaenko, E., Palamar, A., & Malanchuk, M. (2018). Algorithm for calculating the normative area of an industrial enterprise land plot. Geodesy and Cartography, 44(2), 63-70. https://doi.org/10.3846/gac.2018.2001
Published in Issue
Aug 8, 2018
Abstract Views
56
PDF Downloads
34
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

De Moor, А. (2015). Urban Land Reallotment. In Geodesign. Summit Europe, 27–28 January 2015. Salzburg.

Drees, A. (2002, February). Challenges in East German States, in International Symposium “Land Fragmentation and Land Consolidation in CEEC: A gate towards sustainable rural development in the new millennium”. Munich, Germany.

Giovarelli. R., & Bledsoe, D. (2001). Land Reform in Eastern Europe. Western CIS, Transcaucuses. Balkans and EU Accession Countries. FAO. Seattle, Washington. Retrieved from http://www.fao.org/3/a-ad878e.pdf

Malashevskyi, M., & Bugaіenko, O. (2016). The substantiation of urban habitats peer land exchange in Ukraine. Geodesy and Cartography, 42(2), 53-57. https://doi.org/10.3846/20296991.2016.1198568

Malashevskyi, M. А., & Gorpinich. L. V. (2014). Pidkhody do vyznachennya nadnormatyvnykh ploshch pid promyslovymy obyektamy. Inzhenerna heodeziya, (60), 74-80 (in Ukrainian).

Malashevskyi, M. А., & Melnyk, L. V. (2016). The current state of taxation and regulation of land plot size of industrial areas in Ukraine. Mechanics, Materials Science & Engineering, (3), 179-184.