How Different are Population Movements between Weekdays and Weekends: A Complex-Network-Based Analysis on 36 Major Chinese Cities

With the rapid development of Information and Communications Technology (ICT) and transportation infrastructure, the flows of people between cities have become the cornerstone of shaping regional integration. Although research studies about the movement of people have aroused widespread interest in academia, research about the temporal and spatial dynamics of daily mobility between cities is sparse, which is called the temporal heterogeneity of mobility between cities. This research aims to study the temporal and spatial changes (Heterogeneity) of population mobility between cities, using big data obtained through China Unicom, in terms of mapping the spatial network of population mobility and complex network analysis, from which the following findings emerge: (1) On weekends, the gap between cities in the number of floating population flow and the capacity of transferring population has become smaller, indicating that there is better coordination between cities on weekends. (2) There are huge differences in population flow between cities, which reflects the imbalance of urban development, population is more concentrated in cities with higher level of development. (3) The heterogeneity of population flow between cities at weekdays and weekends is closely related to the city’s hierarchy, which can help us study the hierarchical structure of China’s cities from a dynamic perspective. The paper emphasizes the importance of researching heterogeneity issues, clarifies the difference between the heterogeneity of weekdays and weekends and the heterogeneity involved in previous population research fields in terms of population flow and deficiencies in research.

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Distracted by Danger: Temporal and Spatial Dynamics of Saccade Programming in the Presence of Threat

PsycEXTRA Dataset ◽

10.1037/e528942014-370 ◽

2014 ◽

Author(s):

Edwin S. Dalmaijer ◽

Manon Mulckhuyse

Keyword(s):

Spatial Dynamics ◽

Saccade Programming ◽

Temporal And Spatial

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Temporal and spatial dynamics of ‘trophy’-sized demersal fishes off the California (USA) coast, 1966 to 2013

Marine Ecology Progress Series ◽

10.3354/meps11667 ◽

2016 ◽

Vol 547 ◽

pp. 1-18 ◽

Cited By ~ 9

Author(s):

L Bellquist ◽

BX Semmens

Keyword(s):

Spatial Dynamics ◽

Temporal And Spatial ◽

Demersal Fishes

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Temporal and spatial dynamics of pulse production in India

10.2499/9780896292567_03 ◽

2017 ◽

Author(s):

International Food Policy Research Institute (IFPRI)

Keyword(s):

Spatial Dynamics ◽

Temporal And Spatial ◽

Pulse Production

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Temporal and Spatial Dynamics of DNA Topoisomerase I in Prostate Cancer

10.21236/ada433934 ◽

2005 ◽

Author(s):

Randy M. Wadkins

Keyword(s):

Prostate Cancer ◽

Topoisomerase I ◽

Spatial Dynamics ◽

Dna Topoisomerase I ◽

Dna Topoisomerase ◽

Temporal And Spatial

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Large-Scale Analysis of the Spatiotemporal Changes of Net Ecosystem Production in Hindu Kush Himalayan Region

Remote Sensing ◽

10.3390/rs13061180 ◽

2021 ◽

Vol 13 (6) ◽

pp. 1180

Author(s):

Da Guo ◽

Xiaoning Song ◽

Ronghai Hu ◽

Xinming Zhu ◽

Yazhen Jiang ◽

...

Keyword(s):

Large Scale ◽

Net Primary Production ◽

Carbon Sink ◽

Carbon Sources ◽

Spatial Dynamics ◽

Tibet Plateau ◽

Geostatistical Model ◽

Hindu Kush ◽

Temporal And Spatial ◽

The Difference

The Hindu Kush Himalayan (HKH) region is one of the most ecologically vulnerable regions in the world. Several studies have been conducted on the dynamic changes of grassland in the HKH region, but few have considered grassland net ecosystem productivity (NEP). In this study, we quantitatively analyzed the temporal and spatial changes of NEP magnitude and the influence of climate factors on the HKH region from 2001 to 2018. The NEP magnitude was obtained by calculating the difference between the net primary production (NPP) estimated by the Carnegie–Ames Stanford Approach (CASA) model and the heterotrophic respiration (Rh) estimated by the geostatistical model. The results showed that the grassland ecosystem in the HKH region exhibited weak net carbon uptake with NEP values of 42.03 gC∙m−2∙yr−1, and the total net carbon sequestration was 0.077 Pg C. The distribution of NEP gradually increased from west to east, and in the Qinghai–Tibet Plateau, it gradually increased from northwest to southeast. The grassland carbon sources and sinks differed at different altitudes. The grassland was a carbon sink at 3000–5000 m, while grasslands below 3000 m and above 5000 m were carbon sources. Grassland NEP exhibited the strongest correlation with precipitation, and it had a lagging effect on precipitation. The correlation between NEP and the precipitation of the previous year was stronger than that of the current year. NEP was negatively correlated with temperature but not with solar radiation. The study of the temporal and spatial dynamics of NEP in the HKH region can provide a theoretical basis to help herders balance grazing and forage.

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Assessing Determinants of Continuance Intention towards Personal Cloud Services: Extending UTAUT2 with Technology Readiness

Symmetry ◽

10.3390/sym13030467 ◽

2021 ◽

Vol 13 (3) ◽

pp. 467

Author(s):

Shih-Chih Chen ◽

Shing-Han Li ◽

Shih-Chi Liu ◽

David C. Yen ◽

Athapol Ruangkanjanases

Keyword(s):

Rapid Development ◽

Cloud Service ◽

Individual Characteristics ◽

Partial Least Square ◽

Cloud Services ◽

Least Square ◽

Information And Communications Technology ◽

Technology Readiness ◽

Continuance Intention ◽

Systems Research

In addition to the rapid development of global information and communications technology (ICT) and the Internet, recent rapid growth in cloud computing technology represents another important trend. Individual continuance intention towards information technology is a critical area in which information systems research can be performed. This study aims to develop an integrated model designed to explain and predict an individual’s continuance intention towards personal cloud services based on the concepts of technology readiness (TR) and the unified theory of acceptance and use of technology 2 (UTAUT2), moderated by gender, age, and experience of personal cloud services. The key results of the partial least square test largely support the proposed model’s validity and the significant impact of effort expectancy, social influence, hedonic motivation, price value, habit, and technology readiness on continuance intention towards personal cloud services. In addition to providing symmetric theoretical support with the proposed model and transforming the individual characteristics of TR into UTAUT2, this study could be used to enhance and analyze users’ adoption of personal cloud services and also increase the symmetry of the model’s explanation and prediction. The findings from this research contribute to providing practical implications and academic resources as well as improving our understanding of personal cloud service applications.

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Exploring Impact of Surrounding Service Facilities on Urban Vibrancy Using Tencent Location-Aware Data: A Case of Guangzhou

Sustainability ◽

10.3390/su13020444 ◽

2021 ◽

Vol 13 (2) ◽

pp. 444

Author(s):

Xucai Zhang ◽

Yeran Sun ◽

Ting On Chan ◽

Ying Huang ◽

Anyao Zheng ◽

...

Keyword(s):

Rapid Development ◽

Ordinary Least Squares ◽

Information And Communications Technology ◽

Time Data ◽

Location Data ◽

Point Of Interest ◽

Quality Life ◽

City Construction ◽

The Impact ◽

The City

Urban vibrancy contributes towards a successful city and high-quality life for people as one of its vital elements. Therefore, the association between service facilities and vibrancy is crucial for urban managers to understand and improve city construction. Moreover, the rapid development of information and communications technology (ICT) allows researchers to easily and quickly collect a large volume of real-time data generated by people in daily life. In this study, against the background of emerging multi-source big data, we utilized Tencent location data as a proxy for 24-h vibrancy and adopted point-of-interest (POI) data to represent service facilities. An analysis framework integrated with ordinary least squares (OLS) and geographically and temporally weighted regression (GTWR) models is proposed to explore the spatiotemporal relationships between urban vibrancy and POI-based variables. Empirical results show that (1) spatiotemporal variations exist in the impact of service facilities on urban vibrancy across Guangzhou, China; and (2) GTWR models exhibit a higher degree of explanatory capacity on vibrancy than the OLS models. In addition, our results can assist urban planners to understand spatiotemporal patterns of urban vibrancy in a refined resolution, and to optimize the resource allocation and functional configuration of the city.

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COVID-19, Urbanization Pattern and Economic Recovery: An Analysis of Hubei, China

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17249577 ◽

2020 ◽

Vol 17 (24) ◽

pp. 9577

Author(s):

Wenyi Yang ◽

Xueli Wang ◽

Keke Zhang ◽

Zikan Ke

Keyword(s):

Rapid Development ◽

Generalized Method Of Moments ◽

Economic Recovery ◽

Population Mobility ◽

Economic Resilience ◽

Economic Resource ◽

Large Cities ◽

Impact Of Urbanization ◽

The One ◽

The Impact

In the context of the rapid development of urbanization and increasing population mobility in China, the outbreak of COVID-19 has had a significant impact on China’s economy and society. This article uses China UnionPay transaction data and takes Hubei, the worst-hit region by COVID-19 in China, as an example, to conduct empirical analysis using the generalized method of moments (GMM) of the impact of current urbanization patterns on the spread of the epidemic and economic recovery from the perspectives of time, industry, and regional differences. The study found that during the different stages of COVID-19, including discovery, outbreak, and subsidence, the overall impact of urbanization on the economy in Hubei Province was first positive, then became negative, and finally gradually increased. This process had significant industrial and urban heterogeneity, which was mainly manifested in losses in tourism and catering industries that were significantly greater than those in the audio-visual entertainment and digital office industries. Similarly, the recovery speed of large cities was lower than that of small and medium-sized cities. The main reason for these differences is that the one-sided problem of urbanization is more obvious in areas with higher urbanization rates. COVID-19 has drawn attention to the development of urbanization in the future, that is, the development path of one-sided economic resource agglomeration and scale expansion should be abandoned, with greater attention paid to the improvement of service functions and the development of amenities. This transformation is necessary to enhance urban economic resilience and reduce public health risks.

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