A spatial-temporal analysis of urban recreational business districts: A case study in Beijing, China

Zhu, He; Liu, Jiaming; Chen, Chen; Lin, Jing; Tao, Hui

doi:10.1007/s11442-015-1249-9

Cited by 20 publications

(9 citation statements)

References 26 publications

(23 reference statements)

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“…that the regional economic development exhibits an imbalance. The distribution of market-oriented digital signage is obviously biased towards the northern part of the city, which is consistent with the faster trends of urban construction and development in the north of Beijing than the south [49]. The market-oriented digital signage are distributed in the areas with the highest levels of economic development, such as the core area of the Beijing CBD, among the Xicheng traditional commercial areas of Xisi-Xidan-Xuanwumen and the surrounding buffer areas, Wangfujing, Qianmen and other commercial areas.…”

Section: Correlation Analysis Of the Factors Influencing Digital Signagesupporting

confidence: 71%

Analysis of Spatial Characteristics of Digital Signage in Beijing with Multi-Source Data

Zhang

Jiang

et al. 2019

IJGI

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Digital signage is an important medium for urban outdoor advertising. Understanding the spatial distribution characteristics and factors that influence the site of digital signage are conducive to the efficient, standardized, and sustainable development of digital signage. The outdoor commercial digital signage within the Sixth Ring Road in Beijing is taken as the research object, and social network check-ins, housing prices, traffic network centrality and the mount of commercial facilities are considered factors that influence digital signage. The spatial distribution characteristics of digital signage are studied by using point pattern analysis methods. Moreover, we use three spatial clustering algorithms to study the hierarchical spatial characteristics of digital signage and test the effectiveness of the results. In addition, the factors that influence the distribution of digital signage are analyzed by Spearman correlation analysis. The results indicate that (1) the digital signage in Beijing generally presents a relatively concentrated distribution with centrality and forms an obvious gathering area and the agglomeration centers are mainly concentrated in the core parts of the central business district (CBD). (2) Digital signage is categorized into three groups, the traffic-oriented, the population-oriented, and the market-oriented. In addition, the spatial distribution of digital signage is consistent with the historical urban development of Beijing. (3) The social network check-ins with dynamic population characteristics had the highest correlation with the operation cost of digital signage. The spatial characteristics of digital signage evaluated in this study can effectively enhance the sustainable management of digital signage and provide a reference for research of the sustainable allocation of digital signage resources.

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Section: Correlation Analysis Of the Factors Influencing Digital Signagesupporting

confidence: 71%

Analysis of Spatial Characteristics of Digital Signage in Beijing with Multi-Source Data

Zhang

Jiang

et al. 2019

IJGI

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“…Ice-snow tourism in China can be developed by depending on the distribution of snow and ice in the northern area of China and the plateau area [33]. Due to differences in natural resource availability and cities with snow and ice resources, the potential for the development of ice-snow tourism in different parts of China is variable.…”

Section: Discussionmentioning

confidence: 99%

The Spatial Differentiation of the Suitability of Ice-Snow Tourist Destinations Based on a Comprehensive Evaluation Model in China

Yang

Sun

et al. 2017

Sustainability

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Ice, snow, and rime are wonders of the cold season in an alpine climate zone and climate landscape. With its pure, spectacular, and magical features, these regions attract numerous tourists. Ice and snow landscapes can provide not only visually-stimulating experiences for people, but also opportunities for outdoor play and movement. In China, ice and snow tourism is a new type of recreation; however, the establishment of snow and ice in relation to the suitability of the surrounding has not been clearly expressed. Based on multi-source data, such as tourism, weather, and traffic data, this paper employs the Delphi-analytic hierarchy process (AHP) evaluation method and a spatial analysis method to study the spatial differences of snow and ice tourism suitability in China. China's ice and snow tourism is located in the latitude from 35 • N to 53.33 • N and latitude 41.5 • N to 45 • N and longitude 82 • E to 90 • E, with the main focus on latitude and terrain factors. A poor fit is concentrated at latitude 20.45 • N to 35 • N and longitude 100 • E to 122 • E; the difference is that the latitude is low and affected by the Japanese warm current. The analysis of the suitability of ice and snow tourism can be employed as a reference for the development of ice and snow tourism.

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“…Geodetector, put forward by Wang Jinfeng [50,51], is a statistical method to detect spatial heterogeneity and reveal its driving force, and it has been widely used in medicine [52][53][54][55][56], geography [57][58][59][60][61][62], sociology [63,64], economics [65][66][67], ecology [68,69], environmental science [70][71][72], landscape architecture [73,74], urban and rural planning [75][76][77][78][79][80], and other fields. In the working principle of geodetector, it is assumed that if a certain independent variable has an important influence on the dependent variable, the independent variable and the dependent variable should have the similar heterogeneity of spatial differentiation or stratification [81,82].…”

Section: Methodsmentioning

confidence: 99%

The Key Factors Driving the Development of New Towns by Mother Cities and Regions: Evidence from China

Zhao

Zhang

2021

IJGI

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As an important carrier of expanded urban spatial growth, new towns have been a “policy tool” for spatial production in the new era and have received long-term and constant attention from circles such as geography, planning, and economics. National new districts constitute a new regional space for China to implement the national strategy and promote the transformation of urban development mode. They are mutually reinforcing with their mother cities and hinterland provinces. Based on the geodetector method, this paper reveals the key factors driving the development of national new districts by mother cities and hinterland provinces and their interaction effects, which provides a basis for municipal and provincial governments to accurately formulate policies to promote the development of new towns by classification. The study shows that, firstly, there are five types of driving factors, that is, all-round driving factors, scale-increasing factors, expansion and quality-improving factors, expertise driving factors, and non-driving factors. The strength and dimension of the driving factors are characterized by prominent heterogeneity; R&D personnel, export and import trade are the key factors to expand the increment, optimize the inventory, and improve the quality; the overall development driving forces are in the order of innovation > opening > industry > investment > population. Secondly, the pairwise interaction between different factors exhibits two-factor enhancement, and the population shows a nonlinear increase in the driving force of investment, openness, and innovation on a provincial scale. Thirdly, according to the driving force of the factors and the interaction between them, suggestions are put forward based on the development stage and key demands for city and provincial governments to make policies for the development of national new districts, to support the establishment of scientific competition and cooperation between new towns and mother cities or regions, and to build a long-term collaborative development mechanism.

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A spatial-temporal analysis of urban recreational business districts: A case study in Beijing, China

Cited by 20 publications

References 26 publications

Analysis of Spatial Characteristics of Digital Signage in Beijing with Multi-Source Data

Analysis of Spatial Characteristics of Digital Signage in Beijing with Multi-Source Data

The Spatial Differentiation of the Suitability of Ice-Snow Tourist Destinations Based on a Comprehensive Evaluation Model in China

The Key Factors Driving the Development of New Towns by Mother Cities and Regions: Evidence from China

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