Sustainable Development as a Concept to Improve the Quality of the Urban Environment of Single-Industry Towns

Author:

Antonova Irina1,Belalov Timur1,Zhdanova Anna1

Affiliation:

1. National Research Tomsk Polytechnic University

Abstract

The research featured the urban environment quality index for single-industry towns and non-single-industry towns in 2018–2019. The research objective was to identify statistical differences between single-industry towns and other urban settlements in terms of the components and combined value of the urban environment quality index. The paper introduces several strategies for the development of the urban environment of single-industry towns based on the concept of sustainable development. The study employed statistical methods and Statistica 10 program. Based on parametric and nonparametric criteria, the author revealed statistical differences for such aspects as "green areas" and "public and business infrastructure" for 2018 and 2019, as well as calculated the combined value for 2019. The strategies described in the present paper can help to overcome the existing problems of single-industry towns and avoid repeating the mistakes made by government when implementing similar federal programs in the past. The study may be of interest for executive authorities, municipal authorities, and residents of single-industry urban settlements.

Publisher

Kemerovo State University

Subject

Applied Mathematics,General Mathematics

Reference16 articles.

1. Carson R. Silent spring. Boston: Houghton Mifflin Harcourt, 2002. 368 p., Carson R. Silent spring. Boston: Houghton Mifflin Harcourt, 2002, 368.

2. Berke P. R., Conroy M. M. Are we planning for sustainable development? // Journal of the American Planning Association. 2000. Vol. 66. Iss. 1. P. 21–33. DOI: 10.1080/01944360008976081, Berke P. R., Conroy M. M. Are we planning for sustainable development? Journal of the American Planning Association, 2000, 66(1): 21–33. DOI: 10.1080/01944360008976081

3. Гржибовский А. М., Иванов С. В., Горбатова М. А. Сравнение количественных данных двух независимых выборок с использованием программного обеспечения Statistica и SPSS: параметрические и непараметрические критерии // Наука и здравоохранение. 2016. № 2. С. 5–28., Grjibovski A. M., Ivanov S. V., Gorbatova M. A. Analysis of quantitative data in two independent samples using Statistica and SPSS software: parametric and non-parametric tests. Nauka i Zdravookhranenie, 2016, (2): 5–28. (In Russ.)

4. Андреева В. А., Будлянская А. В., Елфимова М. О., Кошевой О. С. Общая характеристика непараметрических методов оценки статистической связи // Модели, системы, сети в экономике, технике, природе и обществе. 2013. № 3. С. 221–226., Andreeva V. A., Budlyanskaya A. V., Elfimova M. O., Koshevoy O. S. Application of nonparametric tests in practice of sociological research. Modeli, sistemy, seti v ekonomike, tekhnike, prirode i obshchestve, 2013, (3): 221–226. (In Russ.)

5. Харькова О. А., Гржибовский А. М. Сравнение двух несвязанных выборок c использованием пакета статистических программ Stata: непараметрические критерии // Экология человека. 2014. № 4. С. 60–64., Kharkova O. A., Grjibovski A. M. Analysis of two independent samples using stata software: non-parametric criteria. Ekologiya cheloveka, 2014, (4): 60–64. (In Russ.)

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