Analysis of the Complex Network of the Urban Function under the Lockdown of COVID-19: Evidence from Shenzhen in China

Cheng, Jing; Yin, Pei

doi:10.3390/math10142412

Cited by 9 publications

(6 citation statements)

References 38 publications

(53 reference statements)

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“…As an important port city, Shenzhen City is greatly affected by COVID-19 [14]. The epidemic of COVID-19 in Shenzhen was influenced by temperature, humidity, and travel restriction measures, as illustrated in other studies [15][16][17].…”

Section: Discussionmentioning

confidence: 77%

Spatiotemporal distribution analysis of the COVID-19 in Shenzhen based on geographic information system

Huang

2023

International Conference on Modern Medicine and Global Health (ICMMGH 2023)

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Section: Discussionmentioning

confidence: 77%

Spatiotemporal distribution analysis of the COVID-19 in Shenzhen based on geographic information system

Huang

2023

International Conference on Modern Medicine and Global Health (ICMMGH 2023)

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“…Various types of correlation coefficients can reflect the correlation between the parameters [21]. The Pearson and Spearman correlation coefficients are used to determine the correlation of the random variables.…”

Section: Correlated Variables Sampling Based On Sobol Sequence and Co...mentioning

confidence: 99%

Multi-Lane Traffic Load Clustering Model for Long-Span Bridge Based on Parameter Correlation

Zhao

Guo

et al. 2023

Mathematics

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Traffic loads are the primary external loads on bridges during their service life. However, an accurate analysis of the long-term effect of the operating traffic load is difficult because of the diversity of traffic flow in terms of vehicle type and intensity. This study established a traffic load simulation method for long-span bridges based on high authenticity traffic monitoring data, and an improved k-means clustering algorithm and Correlated variables Sampling based on Sobol sequence and Copula function (CSSC) sampling method. The monitoring traffic data collected through a weigh-in-motion (WIM) system was processed to generate a multi-lane stochastic traffic flow. The dynamic response of a prototype suspension bridge under a traffic load was analyzed. The results show that the traffic load can be divided into clusters with identical distribution characteristics using a clustering algorithm. Combined with CSSC sampling, the generated traffic flow can effectively represent daily traffic and vehicle characteristics, which improves the accuracy of the assessment of the loads long-term effect. The dynamic response of the bridge to different traffic flows varied significantly. The maximum and minimum vertical displacement of the main girder was 0.404 m and 0.27 m, respectively. The maximum and minimum bending stresses of the short suspender were 50.676 MPa and 28.206 MPa, respectively. The maximum equivalent bending stress and axial stress were 16.068 MPa and 10.542 MPa, respectively, whereas the minimum values were 9.429 MPa and 8.679 MPa, respectively. These differences directly influence the short and long-term evaluation of bridge components. For an accurate evaluation of the bridge operation performance, the traffic flow density must be considered.

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“…Based on social media data from the perspective of the physical environment, Ye et al presented a deep learning method to predict the change and pattern of urban functions [18]. Cheng et al investigated the urban function characteristics under the COVID-19 lockdown by using complex network analysis [19].…”

Section: Urban Functionmentioning

confidence: 99%

Analyzing the Direction of Urban Function Renewal Based on the Complex Network

Cheng,

Luo

2023

Sustainability

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Urban function renewal is essential for modern megacities’ urban planning and economic developments. This paper investigates the urban function renewal in Shenzhen, China based on a complex network method. According to the points of interest and the location quotient, the dominant urban functions in each district are discussed. After computing conditional probability, the interdependence of urban functions is analyzed. The complex networks of the functions and the corresponding clusters are presented to examine the relationship and the overall features of the functions, and the features of the function clusters, respectively. The average degree and average weighted degree of the main function categories of the functions are computed to explore the features of the function classification. The urban functions’ renewal potential index is calculated to show the potential of the non-dominant functions renewing to the dominant ones in the coming years. The difficulty index of the urban function renewal in each district is presented, and the difficulty degree of the original d-ominant function group renewing to a new one is obtained. The results show that more dominant urban functions have a significant probability of being dominant ones in a district; the functions of hotels and life services are essential in the planning and development in Shenzhen; and the districts with better economic levels have greater values of the difficulty of the urban function renewal. Then, the function renewal direction in Shenzhen is analyzed, and some policy implications are given.

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Analysis of the Complex Network of the Urban Function under the Lockdown of COVID-19: Evidence from Shenzhen in China

Cited by 9 publications

References 38 publications

Spatiotemporal distribution analysis of the COVID-19 in Shenzhen based on geographic information system

Spatiotemporal distribution analysis of the COVID-19 in Shenzhen based on geographic information system

Multi-Lane Traffic Load Clustering Model for Long-Span Bridge Based on Parameter Correlation

Analyzing the Direction of Urban Function Renewal Based on the Complex Network

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