Multi-perspective quality of life index for urban development analysis, example of the city of Brno, Czech Republic

Floková, Ludmila; Hübelová, Dana; Kozumplíková, Alice; Caha, Jan; Janošíková, Lenka

doi:10.1016/j.cities.2023.104338

Cited by 4 publications

(3 citation statements)

References 62 publications

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“…This importance can be briefly described as attention to social elements that reflect people's quality of life [72]. In recent years in China, new evaluation systems in urban development have emerged, such as the Harmonious Society Index System and the Scientific Evaluation Criteria for Livable Cities, and their focus has shifted from the early measurement of material inputs to the evaluation of quality of life [73]. The results of resident satisfaction surveys in China have increasingly been incorporated into the evaluation of urban planning and construction [74] as an important part of the measurement criteria.…”

Section: Description Of Model Factors and Parameter Assignmentmentioning

confidence: 99%

Supply and Demand for Planning and Construction of Nighttime Urban Lighting: A Comparative Case Study of Binjiang District, Hangzhou

et al. 2023

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Demand planning-oriented research on nighttime urban lighting provides a foundation for formulating strategies to eliminate dark areas and reduce light pollution. In this paper, Binjiang District of Hangzhou was investigated. Four factors, namely land-use type, road grade, parcel volume, and nighttime crowds, were evaluated. Based on the spatiotemporal geographic data and the urban lighting planning of Hangzhou, a calculation method for the supply and demand of urban lighting at night in Hangzhou was constructed. In this process, the current state of lighting brightness in different areas of the district were calculated and compared with the results of the total lighting demand to analyze reasonableness. The research results show that according to the actual lighting demand classification, the first to fifth levels of lighting control zones accounted for 1.84%, 19.69%, 49.61%, 21.74%, and 7.12% of the total statistical land area of the district, respectively. Focus should thus be placed on the second, third, and fourth levels of lighting control zones when covering lighting demand. Importantly, areas with unreasonable supply and demand for lighting construction accounted for 20.8% of the total statistical land area, indicating that the nighttime lighting demand and carbon emissions in the Riverside District should be adjusted and optimized. This paper proposes a research method to compare supply and demand for the planning and construction of nighttime urban lighting, which can improve the science on lighting demand measurement.

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Section: Description Of Model Factors and Parameter Assignmentmentioning

confidence: 99%

Supply and Demand for Planning and Construction of Nighttime Urban Lighting: A Comparative Case Study of Binjiang District, Hangzhou

et al. 2023

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“…With the introduction of sustainable theory, foreign scholars have recognized the dynamic nature of urban development from different perspectives. They regard urban development as an open, dynamic and complex system [3] that influences the urban spatial form [4], model [5] and various other elements. However, quantitatively revealing the characteristics of urban spatial evolution remains challenging.…”

Section: Introductionmentioning

confidence: 99%

“…The geographical detector model was established from six dimensions: natural factors, economic development level, industrial structure, government regulation ability, population size and opening level. This study aimed to achieve the following objectives: (1) to comprehend the spatial and temporal evolution characteristics of the spatial expansion of prefecture-level cities in the Yellow River Basin from 2000 to 2020; (2) to measure the development trends of economic, social and ecological benefit resulting from urban scale in prefecture-level cities in the Yellow River Basin, and to reveal the characteristics and correlation between urban spatial expansion and scale benefits; (3) and to identify the dominant factors driving urban spatial expansion in the Yellow River Basin. This study aims to enhance the understanding of the spatial and temporal evolution characteristics of urban spatial expansion and scale efficiency of prefecture-level cities in the Yellow River Basin, better facilitate the coordinated development between the two systems and provide an important theoretical basis for urban space development and scale efficiency development in the Yellow River Basin and the formulation of relevant policies.…”

Section: Introductionmentioning

confidence: 99%

Study on Urban Spatial Expansion and Its Scale Benefit in the Yellow River Basin

Zhang,

Liu,

Zhang

2023

Sustainability

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Based on nighttime light data from 2000, 2005, 2010, 2015 and 2020, the urban built-up area of 90 prefecture-level cities in the Yellow River Basin was extracted, and the urban spatial expansion characteristics of 90 prefecture-level cities were explored from the two elements of expansion speed and expansion intensity. The entropy method was used to calculate the comprehensive level of economic-, social- and ecological-scale benefits of 90 prefecture-level cities. The gray correlation degree was used to measure the correlation between urban spatial expansion and scale benefits, and the geographical detector was used to identify the driving factors of urban spatial expansion. The results show the following: (1) The urban spatial expansion characteristics of 90 prefecture-level cities in the Yellow River Basin are clearly different. From 2000 to 2020, the urban spatial area increased to 2.94 times the original, and the expansion speed and intensity increased but fluctuated significantly. (2) The comprehensive level of economic-, social- and ecological-scale benefits of 90 prefecture-level cities in the Yellow River Basin has gradually improved. (3) There is a high correlation between urban spatial expansion and economic-, social- and ecological-scale benefits in 90 prefecture-level cities in the Yellow River Basin, but there are obvious regional differences in the eastern, central and western prefecture-level cities. (4) The urban spatial expansion of the Yellow River Basin is the result of the joint action of natural factors, the economic development level, industrial structure, government regulation ability, population size and opening level. Among them, per capita GDP, population density and the proportion of secondary and tertiary industry output value to the total output value are the most important driving factors.

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The spatially differentiated impact of high-speed railway on accessibility and socio-economic development of developing regions: A study in southwest China

Zhou,

Yu,

Wang

et al. 2024

Socio-Economic Planning Sciences

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Multi-perspective quality of life index for urban development analysis, example of the city of Brno, Czech Republic

Cited by 4 publications

References 62 publications

Supply and Demand for Planning and Construction of Nighttime Urban Lighting: A Comparative Case Study of Binjiang District, Hangzhou

Supply and Demand for Planning and Construction of Nighttime Urban Lighting: A Comparative Case Study of Binjiang District, Hangzhou

Study on Urban Spatial Expansion and Its Scale Benefit in the Yellow River Basin

The spatially differentiated impact of high-speed railway on accessibility and socio-economic development of developing regions: A study in southwest China

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