Evolution of the territorial field of art in a post-socialist city. Distribution patterns of private contemporary art galleries in Krakow, Poland, between 1989 and 2019

Działek, Jarosław

doi:10.1016/j.ccs.2021.100402

Cited by 2 publications

(2 citation statements)

References 65 publications

(203 reference statements)

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“…Zhao, He, and Zhang et al analyzed the spatial distribution of public cultural facilities in Zhengzhou, Beijing, and Tianjin based on POI data and pointed out that the aggregation characteristics of different types of public cultural facilities differed and were closely related to urban development characteristics [3,23,24]. Działek and Ayatac et al analyzed the spatial characteristics of art museums and libraries in Krakow and Istanbul based on statistical data, holding that art museums in Krakow are highly concentrated in the historical and cultural areas of the city [25], while the libraries in Istanbul show a clear center-periphery structure [26].…”

Section: Literature Review 21 Data and Objects Of Spatial Patterns Ne...mentioning

confidence: 99%

“…Based on qualitative analysis, Kim pointed out that the location of art galleries in Seoul is influenced by the commercial art business and public policy rather than by the artist community embedded in the local area [30]. Based on qualitative analysis, Liu and Działek et al concluded that institutional transformation is the main factor for the spatial expansion of public cultural facilities in Chengdu and Krakow [25,31].…”

Section: Tool and Indicators Of Driving Factors Need To Be Improvedmentioning

confidence: 99%

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Spatial Pattern and Drivers of China’s Public Cultural Facilities between 2012 and 2020 Based on POI and Statistical Data

Zhao

Cao

et al. 2023

IJGI

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In the context of globalization and the intensification of international competition, the construction of public cultural facilities has long been not limited to meeting the cultural needs of the people but has become an important initiative to shape the competitiveness of cities. This paper collected POI and socio-economic statistics from 2012 to 2020 from 285 Chinese cities and employed the coefficient of variation (CV), Gini index (GI), ESDA, and GeoDetector to analyze the spatial patterns and driving mechanisms of public cultural facilities. Findings: (1) Public cultural facilities in Chinese cities were featured by evident regional gradient differences and uneven spatial distributions, with a CV greater than 1.3 and a GI greater than 0.5 in both years. They also showed signs of aggregation at weak levels, with a Moran I of 0.15 in both years and a cluster pattern of “hot in the east and cold in the west”. (2) Different types of public cultural facilities had differences in their differentiation, aggregation, and change trends. The CV changed from 1.39~2.69 to 1.06~1.92, and the GI changed from 0.53~0.80 to 0.47~0.62, with the differentiation of libraries, museums, theaters, art galleries, and cultural centers decreasing gradually, while that of exhibition halls increased day by day. As the Moran I increased from 0.08~0.20 to 0.12~0.24, libraries, museums, art galleries, and cultural centers showed weak aggregation with an increasingly strong trend. Theaters and exhibition halls also showed weak aggregation but in a declining trend, with the Moran I changing from 0.15~1.19 to 0.09~0.1. (3) The five driving variables exhibit significant differences in their strength across time and across regions, with the economic and infrastructure factors being the strongest and the urbanization factor the weakest. There are significant differences in the strength of the driving forces among the factors, with the total retail sales of consumers, the number of subscribers to internet services, regular higher education institutions, and undergraduates in regular HEIs playing both direct and interactive roles as the core factors. (4) The 285 cities in China are divided into four policy zonings of star, cow, question, and dog cities. Star cities should maintain their status quo without involving too much policy intervention, whereas the core and important factors should be the focus of policy in dog cities and cow cities, and the auxiliary factors should be the focus of policy in question cities. This paper contributes to the in-depth knowledge of the development pattern of public cultural facilities and provides a more refined basis for the formulation of public cultural facility promotion policies in China and similar countries.

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Section: Literature Review 21 Data and Objects Of Spatial Patterns Ne...mentioning

confidence: 99%

Section: Tool and Indicators Of Driving Factors Need To Be Improvedmentioning

confidence: 99%

Spatial Pattern and Drivers of China’s Public Cultural Facilities between 2012 and 2020 Based on POI and Statistical Data

Zhao

Cao

et al. 2023

IJGI

View full text Add to dashboard Cite

show abstract

Rethinking tourism-driven urban transformation and social tourism impact: A scenario from a CEE city

Kowalczyk-Anioł

2023

Cities

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Evolution of the territorial field of art in a post-socialist city. Distribution patterns of private contemporary art galleries in Krakow, Poland, between 1989 and 2019

Cited by 2 publications

References 65 publications

Spatial Pattern and Drivers of China’s Public Cultural Facilities between 2012 and 2020 Based on POI and Statistical Data

Spatial Pattern and Drivers of China’s Public Cultural Facilities between 2012 and 2020 Based on POI and Statistical Data

Rethinking tourism-driven urban transformation and social tourism impact: A scenario from a CEE city

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