The impact of high-speed railway on tourism spatial structures between two adjoining metropolitan cities in China: Beijing and Tianjin

Yin, Ping; Lin, Zhibin; Prideaux, Bruce

doi:10.1016/j.jtrangeo.2019.102495

Cited by 59 publications

(27 citation statements)

References 38 publications

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“…Most research into spatial and temporal tourism flow has focused on the "tourists-excursion-scenic spot" pattern. Some interrelated studies have focused on the spatial patterns [17][18][19], spatio-temporal evolution [20][21][22][23], and influencing factors [24,25] of tourism flow and the demand for tourism [26,27]. Such research has significantly helped to clarify the concept of tourism flow, constructing the research directions and paradigm for tourism flow.…”

Section: Literature Review 21 Research Progressmentioning

confidence: 99%

Study on Tourism Flow Network Patterns on May Day Holiday

Wang

Liu

2021

Sustainability

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The development of tourism is based on tourism flow and studying a tourism flow network can help to elucidate its mechanism of operation. Transportation network is the path to realize the spatial displacement of tourism flow. This study used “Tencent migration” big data to explore the spatial distribution characteristics and rules of tourism flow in China, providing suggestions for the development of tourism. The results demonstrate that the 361 cities studied can be divided into three types: destination-oriented, tourist-origin-oriented, and destination-oriented and tourist-origin-oriented. There are significant differences in the quantity of flow, the area of concentration, and the factors affecting the flow in the three types of cities. The larger the flow of tourism between cities, the higher the network level, and the wider the network range. The high-level nodes are closely related, while the peripheral nodes are more widely distributed, with weak attractiveness and inconvenient traffic, forming a “core-edge” structure. Different network patterns are established for different modes of transportation. The degree of response of different types of transportation to distance is the main factor influencing the network patterns of diverse paths. These findings have practical implications for the choice of appropriate travel destinations and transportation modes for tourists.

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Section: Literature Review 21 Research Progressmentioning

confidence: 99%

Study on Tourism Flow Network Patterns on May Day Holiday

Wang

Liu

2021

Sustainability

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“…At the same time, through advanced technologies such as information technology, GIS, GPS, social media, and big data, spatial-temporal analysis (STA) has been conducted to solve the problems of overtourism and sustainable tourism planning in urban tourism, and thereby foster urban smart tourism development [65,66] Urban agglomeration tourism stresses the importance of interconnectivity and integration. Urban agglomeration strives to break through the administrative boundaries, guide the rational planning of resources, build a tourism network [67], bring about agglomeration development of the tourism industry [68,69], promote inter-city spatial relations [6,70] and advance competition and cooperation relations among key destination actors [71]. Research on regional tourism spatial networks has also become thematic.…”

Section: Urban Tourism and Urban Agglomeration Tourismmentioning

confidence: 99%

Tourism Network in Urban Agglomerated Destinations: Implications for Sustainable Tourism Destination Development through a Critical Literature Review

Hua

Wondirad

2020

Sustainability

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This study analyzes tourism network in urban agglomerated destinations and puts forth implications for future sustainable development through a critical and extensive review of related literature. First of all, with a bibliometric analysis of 2670 selected articles from three research fields of urban tourism, urban agglomeration tourism and tourism destination network, we analyzed their respective research themes and classified them accordingly. Then, the study further investigates the role of tourism network in urban agglomerated destinations by identifying the differences and connections between urban agglomeration tourism and urban tourism. Finally, a basic architecture is established for the study of tourism networks in urban agglomerated destinations context. Study findings highlight that urban agglomeration tourism emphasizes the interconnectivity and social network relationships. However, research on the destination network of urban agglomerations is limited, especially from the tourism development perspectives. Therefore, the evolution process, structural effects, determinants and dynamic mechanisms of the tourism network in urban agglomerated destination are among the opportunities for future research. Moreover, the research architecture shows that the network relationship emerges as a new direction for the study of urban agglomeration system to better integrate and harness destinations’ resources and thereby promote sustainable development in urban agglomerated areas.

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“…From 1997 to 2007, railways in China experienced six speed increases, and the average speed increased from 48.1 km/h to 70.18 km/h [23]; in 2008, the first High-Speed Railway from Beijing to Tianjin with the designed speed of 350 km/h was opened [24]; in 2006, the first maglev line in China was opened, with a running speed of 430 km/h [25]. Railways have achieved leapfrog breakthroughs in both mileage and operation speed.…”

Section: Overview Of Superhighways a Background Of Superhighwaysmentioning

confidence: 99%

Superhighway Virtual Track System Based on Intelligent Road Buttons

Pei

Kang

et al. 2020

IEEE Access

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To improve the safety of superhighways, a virtual track system for superhighways based on intelligent road buttons is studied by means of a structural analysis and mathematical model. The system consists of a road subsystem, onboard subsystem and service center subsystem. When a vehicle equipped with an onboard subsystem nears the road buttons, they activate the virtual track system, and the reader reads location coordinates and road alignment information at that point from the label buttons. At the same time, the data processing module begins to function. First, the module reads the linear parameters and processes them to obtain the angle between the road tangent and vehicle body. Then, the module reads the angle of the front wheels, the vehicle speed and the distance between the adjacent two label buttons. Finally, the module obtains the rotational speed of the steering wheel while the vehicle is driving between two label buttons by using the computational model and sends the control parameters to the steering motor. The research results show that when the design speed of the superhighway is 140 km/h, 160 km/h and 180 km/h and the distances between the road buttons are less than 1.33 m, 1.50 m and 1.69 m, respectively, the distance between the centerline of the road and the vehicle can be restricted to less than 50 cm. Therefore, the virtual track system based on intelligent road buttons can restrict vehicles to travel in the virtual track and ensure the safety of superhighways.

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The impact of high-speed railway on tourism spatial structures between two adjoining metropolitan cities in China: Beijing and Tianjin

Cited by 59 publications

References 38 publications

Study on Tourism Flow Network Patterns on May Day Holiday

Study on Tourism Flow Network Patterns on May Day Holiday

Tourism Network in Urban Agglomerated Destinations: Implications for Sustainable Tourism Destination Development through a Critical Literature Review

Superhighway Virtual Track System Based on Intelligent Road Buttons

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