Spatial Layout and Coupling of Urban Cultural Relics: Analyzing Historical Sites and Commercial Facilities in District III of Shaoxing

X, Zhou; Zhang, Xiaoxia; Dai, Zhimei; Hermaputi, Roosmayri Lovina; Chen, Hua; Li, Yonghua

doi:10.3390/su13126877

Cited by 18 publications

(11 citation statements)

References 60 publications

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“…The system can provide a more reasonable guidance for each batch of new books on the shelves. This has produced great benefits for optimizing the allocation of book resources in multiple regions [7].…”

Section: Introductionmentioning

confidence: 99%

Library Management System Based on Data Mining and Clustering Algorithm

Pang

2022

Wireless Communications and Mobile Computing

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In order to solve the problem of building system services between readers and libraries, this paper proposes a library management system based on data mining and clustering algorithm. The library management model is built based on data mining technology and clustering algorithm, and the hybrid clustering algorithm in the data mining platform Weka is used for library data mining. The experimental results show that with the same amount of data, the hybrid clustering algorithm takes 5.5 seconds to process information from 0 to 300, which is at least 1 second faster than the other two algorithms. Conclusion. The algorithm is not only a means of library system automation management, but also an effective means to realize library information modernization.

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Section: Introductionmentioning

confidence: 99%

Library Management System Based on Data Mining and Clustering Algorithm

Pang

2022

Wireless Communications and Mobile Computing

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“…The second is to compare with other similar studies. Compared with Zhou, Zhang, Dai et al [46], our research pays more attention to the analysis of the basic pattern of POI, but lacks further analysis of the pattern, such as the analysis of spatial autocorrelation characteristics. Their research results show that historical and cultural sites have singlecenter distribution characteristics, but our cultural and entertainment facilities have multicenter distributions.…”

Section: Discussionmentioning

confidence: 99%

The Spatial Distribution and Influencing Factors of Urban Cultural and Entertainment Facilities in Beijing

et al. 2021

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Cultural and entertainment facilities are an important mainstay for urban development and the well-being of urban residents. Studying their spatial distribution is thus of great significance for improving urban functions and shaping urban characteristics. This paper uses the Simpson index, grid method, kernel density, nearest neighbor analysis and hierarchical clustering analysis to present in detail the spatial pattern, hotspot distribution and clustering characteristics of urban cultural and entertainment facilities in Beijing. With the help of the spatial lag model, the main factors affecting the spatial distribution of the facilities are explored. The results are as follows: Different types of cultural and entertainment facilities have different spatial agglomeration effects, which are closely related to the historical background of Beijing, industrial distribution, and the living needs of residents; the facilities generally present a spatial distribution with prominent centrality, strong clustering and significant heterogeneity; and financial insurance institution density, building density, securities company density, housing rent and distance to nearest scenic spot are the main factors affecting the distribution of the facilities. Analyzing the distribution characteristics and influencing factors of urban cultural and entertainment facilities in Beijing will provide typical cases and decision-making references that can underpin the informed layout and planning of urban cultural and entertainment industries and facilities.

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“…Dobrogea is a geographical region located in eastern Romania, situated between the Danube River and the Black Sea. Its long and rich history has facilitated the construction of many cultural and historical monuments that are now part of the national heritage [21,22]. Each locality in the region has an important collection of historical monuments, listed in the inventory of cultural heritage sites compiled by the Romanian Ministry of Culture.…”

Section: Introductionmentioning

confidence: 99%

Accessibility and Tourist Satisfaction—Influencing Factors for Tourism in Dobrogea, Romania

2023

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Dobrogea is a region in Romania that boasts a rich cultural heritage, with a significant number of historical monuments, as well as breathtaking landscapes that attract tourists. The aim of this study was to evaluate the level of accessibility for seven of the most popular tourist attractions in Dobrogea, which were selected on the basis of their physical, geographic, religious, and historical significance. Furthermore, the level of satisfaction among tourists who visit each attraction was also assessed. Methodologically, several working and data processing methods specific to accessibility analysis were used, and graphic materials were produced to highlight the results obtained. To analyse tourist satisfaction, the researchers conducted interviews with 718 tourists who visited the attractions between June and September of 2022. The findings of this study can provide valuable information to local communities regarding the tourism potential of the region and the accessibility of its attractions. These data can be used to identify areas where roads need to be built or rehabilitated to improve accessibility to important tourist sites. By providing easy access to Dobrogea’s many attractions and ensuring that tourists are satisfied with their experiences, the region can become a top tourist destination in Romania.

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Spatial Layout and Coupling of Urban Cultural Relics: Analyzing Historical Sites and Commercial Facilities in District III of Shaoxing

Cited by 18 publications

References 60 publications

Library Management System Based on Data Mining and Clustering Algorithm

Library Management System Based on Data Mining and Clustering Algorithm

The Spatial Distribution and Influencing Factors of Urban Cultural and Entertainment Facilities in Beijing

Accessibility and Tourist Satisfaction—Influencing Factors for Tourism in Dobrogea, Romania

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