Lehet az alkalmazkodóképesség vonzó? A rugalmas ellenálló képesség szerepe a magyar városok példáján

Szép, Tekla Sebestyénné; Nagy, Zoltán; Tóth, Géza

doi:10.20311/stat2021.8.hu0709

Cited by 4 publications

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“…The components used, the range of related indicators and their source are illustrated in Annex 1. The list of indicators is partly based on the work of Bănică, Muntele (2017) and partly on the indicators published in Szép et al (2021), corrected in several places by the social progress indicator system provided by the Central Statistical Office (CSO, 2020) and TEIR (National Regional Development and Spatial Planning Information System) data. Therefore, the pillar structure of sustainability allows three main components of resilience to be identified, thus distinguishing social, economic and environmental components.…”

Section: Methodsmentioning

confidence: 99%

“…W tych procesach miasta i sieci miejskie również ewoluują w wysoce złożone i wyrafinowane systemy, w których skupia się ludność, przemysł, usługi i konsumpcja. Jednak ta koncentracja zwiększa również wrażliwość i zależność miast (Szép, Nagy, Tóth, 2021). Dobrobyt i powodzenie populacji miejskich można zapewnić dzięki sprawnemu funkcjonowaniu systemów infrastruktury, sieci komunikacyjnych, dużych systemów użyteczności publicznej i łańcuchów dostaw (Bank Światowy, 2016), ale jednocześnie wysoki stopień współzależności między systemami może również sprawiać, że miasta stają się wrażliwe.…”

Section: Wstępunclassified

“…Several solutions for measuring resilience are outlined in the literature: lower levels, even at the level of individuals or households, but more generally, the urban (e.g. Dursun, 2018), regional or even national level can be considered (Szép et al, 2021). Some of the studies (e.g.…”

Section: Wstępmentioning

confidence: 99%

“…In these processes, cities and city networks are also evolving into highly complex and sophisticated systems where population, industry, services and consumption are concentrated. However, this concentration also increases the vulnerability and dependency of cities (Szép, Nagy, Tóth, 2021). The well-being and prosperity of urban populations can be ensured by the smooth functioning of infrastructure systems, communication networks, large utility systems and supply chains (World Bank, 2016), but at the same time, the high degree of interdependence between systems can also make cities vulnerable.…”

Section: Introductionmentioning

confidence: 99%

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Measuring the Social, Economic and Environmental Resilience – A Case Study of the Hungarian Cities

Nagy,

Szép

2023

Economic and Regional Studies / Studia Ekonomiczne I Regionalne

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Subject and purpose of the work: The COVID-19 and 2021-2022 energy crises shed new light on urban resilience. Cities face many more challenges and external shocks. This study aims to measure urban resilience. Materials and methods: For this purpose, a composite indicator was developed, composed of three (social, economic and environmental) resilience components called the Complex Resilience Index. It is applied to study Hungarian settlements in selected years (2000, 2006, 2012, 2018). Based on the results further analysis was conducted. The spatial structure of urban resilience is studied in two ways. First, the spatial differences between cities in the four selected years was examined using the relative range index, which is the difference between the highest and lowest city values relative to the average. Second, spatial patterns were mapped using one of the most commonly used indicators of spatial autocorrelation, the so-called Local Moran I indicator. The next step is to create five clusters to highlight the differences between groups in terms of population and per capita income in the selected years and to analyse the role of resilience in changing these indicators. Results: The identification of these groups provides important information for spatial planning and policy. Hungarian settlements were also ranked based on the Complex Resilience Index. The results show that urban resilience can be measured with a composite indicator (Complex Resilience Index) and that the social, economic and environmental resilience components provide further insights. In the Hungarian urban network, the most resilient elements are Budapest, some regional centres, some county capitals, the metropolitan area of Budapest, and the most developed small and medium-sized cities in the Transdanubian region. Conclusions: The difference in the Complex Resilience Index between cities increases over time, and as a result, the Local Moran I clusters become narrower. The rate of change in the specific income and its relative spread has the opposite sign to resilience. As resilience increases, the average change in income and its relative spread decreases, and as a result of that, stability increases.

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Section: Methodsmentioning

confidence: 99%

Section: Wstępunclassified

Section: Wstępmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Measuring the Social, Economic and Environmental Resilience – A Case Study of the Hungarian Cities

Nagy,

Szép

2023

Economic and Regional Studies / Studia Ekonomiczne I Regionalne

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“…The ambiguity of measuring resilience is well illustrated by the results of Palaskas and colleagues (2015) comparing urban and rural areas in Greece, and the study on the economic resilience of Hungarian settlements (Szép et al, 2021). While the former measured the greater resilience of lagging regions to urban areas, the latter identified the North Transdanubian region and Budapesti.e.…”

Section: Resilience In Practicementioning

confidence: 99%

Green and Digital Transitions

2024

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In our study, we review the framework of questionnaire research methods suitable for analyzing the consumer acceptance of vehicle industry innovations, more specifically, of autonomous vehicles. Our aim is to identify the most widely used research models and examine which variables affect consumer acceptance of self-driving technologies to the greatest extent. The various modified versions of the TAM and UTAUT models are the most commonly used models to address the topic in the literature. Both models are characterized by the attempt to predict a consumer's behavioral intention based on the specificities of a technology. Due to the difficulties of prior testing of self-driving technologies, it is worth reviewing these methods from the aspect of how suitable they are for capturing the consumer acceptance of this technology and through what adaptation measures. We do not aim to question the validity of researching the topic by questionnaire surveys, but we find it important to emphasize the significance of cautious adaptation. In the present paper, we intend to provide a methodological basis for future research related to autonomous technology by revising the TAM and UTAUT methods.

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Study of the energy use of resilient settlements in Hungary

Nagy

Lipták

Szép

2023

2023 19th International Conference on the European Energy Market (EEM)

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This study aims to investigate the household energy consumption of the most resilient Hungarian cities. For the selection we use the results of the Complex Resilience Index calculated for 2000, 2006, 2012 and 2018. We assume that resilience should also be reflected in residential energy consumption, with the effect of price changes being smaller in municipalities with higher Complex Resilience Index values. To measure the spatial inequalities, the range ratio, range, relative range, dual index, standard deviation, relative standard deviation, absolute average difference are calculated. The shifts and changes highlight some peculiarities of the Hungarian urban network. In the case of the examined cities, significant inequalities and large spatial variances have not been revealed regarding the indicators of urban energy consumption (i.e., average household gas and electricity consumption). However, in spite of some positive tendencies it can be concluded that the energy transition is slow, and the gas still plays a significant role in household heating.

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Lehet az alkalmazkodóképesség vonzó? A rugalmas ellenálló képesség szerepe a magyar városok példáján

Cited by 4 publications

References 0 publications

Measuring the Social, Economic and Environmental Resilience – A Case Study of the Hungarian Cities

Measuring the Social, Economic and Environmental Resilience – A Case Study of the Hungarian Cities

Green and Digital Transitions

Study of the energy use of resilient settlements in Hungary

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