Exploring temporal heterogeneity in an intercity travel network: A comparative study between weekdays and holidays in China

Li, Tao; Wang, Jiaoe; Huang, Jie; Gao, Xingchuan

doi:10.1007/s11442-020-1821-9

Cited by 35 publications

(21 citation statements)

References 23 publications

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“…The weekend has a huge impact on population mobility [35]. The ranking-cumulative scale model shows that the β value of CD(i) and Betweenness centrality increase on weekends, which means that the relative gap between the scale of cities population flow and the transfer capacity is smaller, and the ability of coordinated development among cities is stronger.…”

Section: Discussionmentioning

confidence: 98%

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

Zhang

et al. 2021

Land

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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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Section: Discussionmentioning

confidence: 98%

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

Zhang

et al. 2021

Land

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“…In addition, we believe that, similar as intracity travels ( Hamidi & Zandiatashbar, 2021 ), intercity mobility can be divided into essential (part of business/commuting travel; logistic of daily necessities and medical supplies) and non-essential travels (friends-visit, relatives-visit and leisure flow) based on the trip purposes during the pandemic. Intercity trips from small cities to core cities are mainly indispensable business/commuting flows, whereas trips from cores to peripheries are often more flexible, such as tourist and family-visit travel (T. Li, Wang, Huang, & Gao, 2020 ). Another explanation is related to the return of migrant workers from small to large cities after the Spring Festival since the late January (Ren, 2020), which reinforces the asymmetric trend of mobility networks.…”

Section: Mesoscale Structures In Mobility Network From Pre- To Post- ...mentioning

confidence: 99%

Structural changes in intercity mobility networks of China during the COVID-19 outbreak: A weighted stochastic block modeling analysis

Zhang

Zi-tong²,

Niu³

et al. 2022

Computers, Environment and Urban Systems

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“…Compared with technology, market demand has a greater driving role. Literature [ 8 ] put forward the “dual-factor theory” for the development of cultural and creative industries and believed that supply and demand are the two main driving forces that promote the development of entrepreneurial industries. Literature [ 9 ] systematically proposed the theory of creative economics, which led to the vigorous development of theories of creative economics.…”

Section: Related Workmentioning

confidence: 99%

Selection and Exploration of Cultural and Creative Tourist Attractions Based on BP Network

Xing

2022

Computational Intelligence and Neuroscience

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In order to improve the selection and exploration effect of cultural and creative tourist attractions, this paper applies BP network to the selection and search of cultural and creative tourist attractions. Moreover, this paper improves the algorithm to promote the interrelation of cultural and creative industries and tourism industries to promote each other to form a complex and changeable dynamic system and proposes a personalized recommendation model for tourist attractions based on domain adaptation. Domain adaptation can effectively reduce the distribution difference between different data. In addition, this paper combines experimental research to verify the system model of this paper. The research results show that the cultural and creative tourist attractions selection search system based on the BP network proposed in this paper has a good selection effect of tourist attractions and has an important role in promoting the development of cultural and creative tourism.

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Exploring temporal heterogeneity in an intercity travel network: A comparative study between weekdays and holidays in China

Cited by 35 publications

References 23 publications

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

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

Structural changes in intercity mobility networks of China during the COVID-19 outbreak: A weighted stochastic block modeling analysis

Selection and Exploration of Cultural and Creative Tourist Attractions Based on BP Network

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