Methods of Integrated Assessment of Megalopolis’s Micro-Districts on the Basis of Residents’ Opinions

Authors

  • Anna Petrovna Bagirova Ural Federal University
  • Olga Veleryevna Notman Ural Federal University
  • József Veress Corvinus University of Budapest

DOI:

https://doi.org/10.17059/2017-4-13

Keywords:

ratings, microdistricts, megalopolis, city administration, city infrastructure, territorial development, sociological survey, satisfaction level among city residents, emotional perceptions of areas

Abstract

The paper presents a methodology for assessing city areas on the basis of residents’ opinions. In contrast to preceding approaches, this methodology combines the opinions on the various features of living in certain micro-districts as well as the way these districts are perceived. Therefore, this technique includes the rational and emotional assessments. Moreover, we assess both the district residents and the inhabitants living outside the area. Thus, the research combines the assessments from inside and outside. The evaluation is based on the representative survey of the residents of Ekaterinburg. The research hypothesis is that city districts will differ significantly in the attractiveness as well as in a set of determinants for the assessments given by residents. The authors’ methodology for rating micro-districts includes three groups of indicators. First, there is the assessment of the residents’ satisfaction level in various aspects of their lives. Second, we assess the residents’ emotional appraisal of the areas, in which they live. Last, there is a choice of the city’s best micro-district to live in. The empirical research found a high degree of differentiation in the obtained ratings and highlighted their socio-economic determinants such as the assessment of personal financial position, housing type, assessment of personal living conditions. The findings of this research provide insights for managerial decisionmaking in strategic regional planning. In particular, these results can be used to address the polarization of the development of urban areas revealed in this research. Further research can be conducted in three directions. Firstly, a deeper analysis of the availability and attractiveness of different types of infrastructure for residents (medical, educational, relaxation infrastructures, etc.) would be of interest. Secondly, micro-district could be ranked by different groups of population (retirees, persons with disabilities, etc.). Last, further research needs an assessment of the different micro-districts attractiveness for work and leisure activities.

Author Biographies

Anna Petrovna Bagirova, Ural Federal University

Doctor of Economics, Professor, Ural Federal University; Scopus Author ID: 55361822000, https://orcid.org/0000-0001-5653-4093, Researcher ID: M-7440–2013 (19, Mira St., Ekaterinburg, 620002, Russian Federration; e-mail: a.p.bagirova@urfu.ru).

Olga Veleryevna Notman, Ural Federal University

PhD in Sociology, Associate Professor, Ural Federal University (51, Lenina Ave., Ekaterinburg, 620002, Russian Federation; e-mail: o.v.notman@urfu.ru).

József Veress, Corvinus University of Budapest

PhD, Researcher, Corvinus University of Budapest (8, Fővám Sqr., Budapest, Hungry; e-mail: veress.jozsef@yahoo.com).

References

Kronthaler, F. (2005). Economic Capability of East German Regions: Results of a Cluster Analysis. Regional Studies, 39(6), 739–750. DOI: 10.1080/00343400500213630.

Repkine, A. (2012). How Similar Are the East Asian Economies? A Cluster Analysis Perspective on Economic Cooperation in the Region. Journal of International and Area Studies, 19(1), 27–44.

Simpach, O. & Langhamrova, J. (2014). The Impact of ICT Growth on Households and Municipalities in the Czech NUTS-3 Regions: the Application of Cluster Analysis. Schriftenreihe Informatik, 43: IDIMT-2014: Networking Societies — Cooperation and Conflict, 63–70.

Zubarevich, N. V. (2013). Krupnyye goroda Rossii: lidery i autsaydery [Large cities in Russia: leaders and outsiders]. Demoscop Weekly [Demoscope Weekly], 551–552. Retrieved from: http://demoscope.ru/weekly/2013/0551/demoscope551.pdf (date of access: 02.06.2017). (In Russ.)

Zubarevich, N. V. (2016). Monitoring krizisa i postkrizisnogo razvitiya regionov Rossii [Monitoring the development of Russian regions during and after the crisis]. Sotsialnyy atlas rossiyskikh regionov. Monitoring nezavisimogo instituta sotsialnoy politiki [Social atlas of Russian regions. Monitoring research by the Independent Institute of Social Policy]. Retrieved from: http://www.socpol.ru/atlas/overviews/social_sphere/kris.shtml (date of access: 02.06.2017). (In Russ.)

Vysokovsky, A. (Ed.). (2014). Borba za gorozhanina: Chelovecheskiy potentsial i gorodskaya sreda [The battle for the urban dweller: Human potential and the urban environment]. Moscow: Higher School of Urban Studies; IV Moscow Urban Forum IV Moscow Urban Forum, 102. (In Russ.)

Kuznetsov, S. V., Rastova, Yu. I. & Rastov, M. A. (2017). Reytingovaya otsenka kachestva zhizni v rossiyskih regionakh [Rating Evaluation of the Quality of Life in Russian Regions]. Ekonomika regiona [Economy of Region], 13(1), 137–146. (In Russ.) doi: 10.17059/2017–1–13.

Romashkina, G. F. (2015). Protsessy modernizatsii v regionakh Uralskogo federalnogo okruga [Modernization processes in the regions of Urals federal district]. Sotsiologicheskie issledovaniya [Sociological Studies], 1, 19–26. (In Russ.)

Trubina, E. G. (2011). Gorod v teorii: opyty osmysleniya prostranstva [The city in theory: experience in understanding space]. Мoscow: Novoye literaturnoye obozrenie Publ. 520. (In Russ.)

Booth, Ch. (1969). Life and Labour of the People in London. NY: Augustus V. Kelley, 468.

Marcuse, P. (2000). Cities in Quarters. In: G. Bridge & S. Watson (Eds.). A Companion to the City, 270–281. Oxford: Blackwell Publishers.

Burgess, E. W. (1925). The Growth of the City: An Introduction to a Research Project Park. In: E.W. Burgess & R. D. McKenzie (Eds.). The City, 47–62. Chicago: The University of Chicago Press.

Dempsey, N. & Jenks, M. (2010). The Future of the Compact City. Built Environment, 36(1), 116–121.

Komninos, N. (2002). Intelligent Cities: Innovation, Knowledge Systems and Digital Spaces. NY: Routledge, 320.

Paskaleva, K. (2009). Enabling the Smart City: the Progress of E-City Governance in Europe. International Journal of Innovation and Regional Development, 1(4), 405–422.

Korotkova, E., Mokrushina, K. et al. (2016). Upravlenie prostranstvenno-ekonomicheskim razvitiem goroda: skryityie resursyi [The management of a city’s environmental and economic development: hidden resources]. Moscow: The Centre for Urban Research of the SKOLOKOVO business school Publ., 212. (In Russ.)

Mussini, M. (2017). Decomposing Changes in Inequality and Welfare Between EU Regions: The Roles of Population Change, Re-Ranking and Income Growth. Social Indicators Research, 130(2), 455–478. DOI: 10.1007/s11205–015–1184–2.

Carboni, O. A., & Russu, P. (2015). Assessing Regional Wellbeing in Italy: An Application of Malmquist-DEA and Self-organizing Map Neural Clustering. Social Indicators Research, 122(3), 677–700. DOI: 10.1007/s11205–014–0722–7.

Silva, R., Ferreira-Lopes, A., & Ferreira-Lopes, A. (2014). A Regional Development Index for Portugal. Social Indicators Research, 118(3), 1055–1085. DOI: 10.1007/s11205–013–0455-z.

Eichhorn, J. (2014). Where Happiness Varies: Recalling Adam Smith to Critically Assess the UK Government Project Measuring National Well-Being. Sociological Research Online, 19(2), 6. DOI: 10.5153/sro.3280.

Pulido-Fernandez, J. I., & Gonzalez, J. A. P. (2016). Determines the economic dynamism of tourism of a territory its socioeconomic development? An analysis through structural equation modeling. Revista de Estudios Regionales, 107, 87–120.

Smits, J., & Steendijk, R. (2015). The International Wealth Index (IWI). Social Indicators Research, 122(1), 65–85. DOI: 10.1007/s11205–014–0683-x.

Kislitsyina, O. A. (2016). Izmerenie kachestva zhizni/blagopoluchiya: mezhdunarodnyiy opyit [Measuring quality of life/wellbeing: international experience]. Мoscow: Russian Academy of Sciences, Institute of Economics Publ., 62. (In Russ.)

Aivazian, S. A. (2003). K metodologii izmereniya sinteticheskih kategoriy kachestva zhizni naseleniya [Towards a Methodology of Measuring of the Population’s Life Quality Synthesized Categories]. Ekonomika i matematicheskie metodyi [Economics and the Mathematical Methods], 39(2), 38–53. (In Russ.)

Grishina, I. V., Polyinev, A. O. & Timonin, S. A. (2012). Kachestvo zhizni naseleniya regionov Rossii: metodologiya issledovaniya i rezultaty kompleksnoy otsenki [The Quality of Life in the Russian Regions: research methodology and results of comprehensive estimation]. Sovremennyye proizvoditelnyye sily. Ot dogonyayuschego k operezhayuschemu razvitiyu [Contemporary production forces. From lagging to leading development], 1, 70–84. (In Russ.)

Kuklin, A. A., Gurban, I. A. et al. (2010). Kompleksnaya metodika diagnostiki kachestva zhizni v regione [Integrated methodology for diagnosing regional quality of life]. Ekaterinburg: Institute of Economics of the Ural Branch of RAS Publ., 135. (In Russ.)

Belyaeva, L. A. (2009). Uroven i kachestvo zhizni: problemy izmereniya i interpretatsii [Level and quality of life. Measurement and interpretation issues]. Sotsiologicheskie issledovaniya [Sociological Studies], 1, 33–42. (In Russ.)

Kozlova, O. A., Gladkova, T. V. et al. (2015). Metodicheskiy podkhod k izmereniyu kachestva zhizni naseleniya regiona [Methodological approach to measuring quality of life of the population of a region]. Ekonomika regiona [Economy of Region], 2, 182–193. doi: 10.17059/2015–2–15. (In Russ.)

Onwuegbuzie, A. J., & Daniel, L. G. (2002). Uses and misuses of the correlation coefficient. Research in the Schools, 9(1), 73–90.

Published

27.11.2017

How to Cite

Bagirova, A. P., Notman, O. V., & Veress, J. (2017). Methods of Integrated Assessment of Megalopolis’s Micro-Districts on the Basis of Residents’ Opinions. Economy of Regions, 13(4), 1138–1150. https://doi.org/10.17059/2017-4-13

Issue

Section

Research articles