scholarly journals Spatial Characteristics of the Tourism Flows in China: A Study Based on the Baidu Index

2021 ◽  
Vol 10 (6) ◽  
pp. 378
Author(s):  
Yongwei Liu ◽  
Wang Liao
Keyword(s):  
Information Flow ◽  
Supply And Demand ◽  
Urban System ◽  
Transportation Systems ◽  
Flow Network ◽  
Search Volume ◽  
Tourism Resources ◽  
Tourism Information ◽  
Development Levels ◽  
Tourism Flows

The characteristics of information flow, as represented by the Baidu index, reflect the pattern of tourism flows between different cities. This paper is based on the Baidu index and applies the seasonal concentration index and social network analysis (SNA) methods to study the spatial structure characteristics of tourism flows in China. The results reveal that: (1) both the search volume of the Baidu index in different cities and the online attention to different scenic areas exhibit obvious spatial heterogeneity and seasonal differences; (2) regions with strong tourism flow connections mainly occur in the areas between metropolises or among the inner cities of urban agglomerations, which are largely distributed on the southeast side of the Heihe–Tengchong Line; (3) the development of the whole tourism flow network in China is low, with an unbalanced development between tourism supply and demand, indicating that tourism resources are concentrated in a few cities and that most of the information interaction among cities occurs in core areas, while a weak interaction is observed in peripheral areas; (4) cities like Beijing and Wuhan attain obvious advantages in regard to their tourism resources, whereas other cities, including Beijing, Shanghai, Shenzhen and Guangzhou, exhibit a high demand for tourism. Moreover, tourism information flow networks are concentrated in several cities with an important role in the Chinese urban system, such as Beijing, Wuhan, and Chengdu, because they contain abundant tourism resources, well-developed transportation systems and advanced economic and societal development levels. (5) Cities such as Beijing, Lhasa, Wuhan, and Zhengzhou possess numerous advantages due to structural holes, and they thus occur at an advantageous position in the tourism flow network.

scholarly journals Health in cities: Getting out and about as we age

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
T Ma ◽  
R Ivers ◽  
E de Leeuw ◽  
K Clapham ◽  
C Kobel
Keyword(s):  
Older People ◽  
Policy Making ◽  
Urban System ◽  
Transportation Systems ◽  
Social Contexts ◽  
Urban Systems ◽  
Activity Levels ◽  
The Public ◽  
Housing Developments ◽  
Health Community

Abstract Transportation influences health through its effects on people's access to goods, services, and life chance opportunities; social interactions; physical activity levels; air pollution exposures; and road injury risks. Given the ageing of populations, it is essential that decisions about land use and transportation systems are appropriate to meet the mobility needs of older people and support healthy ageing. Not all transportation options, however, may be accessible to older people. Factors that affect accessibility relate to the spatial and physical characteristics of places, personal and social contexts of individuals, and rules and norms underpinning planning and policy making. This research aimed to understand how different parts and processes of urban systems interact to influence transportation options for older people. Using the Greater Sydney area as a case, we drew on key informant interviews and public policy documents to identify the considerations that inform planning and policy making as they pertain to the nature of cities and the opportunities of older people to get out and about. We compared and integrated these findings with peer-reviewed literature of similar urban growth areas. Our analysis mapped the factors of the human-urban system that are central to enabling transportation mobility for older people, articulated their interrelationships, and identified the actors that influence them. Our results point to the involvement of actors from the public health, community development, transportation, and urban planning sectors at multiple levels of government. Each of these actors operate within their own remit to influence a part of the urban system relevant to older people's transportation, such as the zoning of land, the approval of housing developments, and the location of bus stops. However, these individual actions are constrained by others in the system. We interpret this complexity with a governance lens. Key messages Efforts to promote mobility in old age should move beyond ‘single solutions to single issues’ approaches toward those that reflect the complexity of cities and the ways that people move within them. For sustained realization of desired outcomes, age-friendly initiatives cannot occur in isolation, but rather must take into account the behaviours and dynamics of the urban system.

Analysis of the Internet attention and tourism flow network structure of red tourism resources in Long March National Cultural Park

2021 ◽  
Vol 36 (7) ◽  
pp. 1811
Author(s):  
Lei LI ◽  
Zhuo-min TAO ◽  
Zhi-cheng LAI ◽  
Tao LI ◽  
Sheng-li JU
Keyword(s):  
Network Structure ◽  
The Internet ◽  
Flow Network ◽  
Tourism Resources

scholarly journals FORMATION FEATURES OF INVESTMENT POTENTIAL INDICATORS OF TOURISM AS AN ECONOMIC REALM

2021 ◽  
Author(s):  
Anatolii Mazaraki ◽  
Kateryna Antoniuk
Keyword(s):  
Service Industry ◽  
Production Capacity ◽  
Tourism Industry ◽  
Financial Resources ◽  
Index Number ◽  
Demand And Supply ◽  
Synthetic Indicator ◽  
The Future ◽  
Tourism Resources ◽  
Tourism Flows

The article considers the main indicators that form an image of the investment potential of tourism. These indicators are characterized taking into account two aspects: economic and tourism, inasmuch as tourism is a component of the national economy, but as an industry has its own specific features and differences that require special attention. The economic performance provides the analysis of economic indicators of the region as a whole, the tourist performance is necessary to define the local tourist potential: natural resources, establishments of service industry, indicators of demand for tourist services and other. We have suggested a system of indicators that are decisive in characterizing the investment potential of the tourism industry of the regions, which will make it possible in the future to compile a rating of regions using these indicators according to investment attractiveness and potential of the tourism industry, namely the following indicators: financial resources, labor, production, capacity index number of tourism flows, indicators of demand and supply of tourist services, tourists who have visited the region, the number of tour days according to the holiday packages implemented, the number of tourism entities, numbers, available places, available tourism resources, tourism efficiency and indicators of economic importance of tourism development for the country in general. Rating is based on a quantitative assessment of synthetic (generalized) indicators. Each synthetic indicator of a particular industry and the region is constructed based on a set of analytical indicators making a part of them that in the future will make it possible to form a unified integrated indicator that characterizes the investment potential of the region. Besides, we have developed the scheme of stages to rate the regions according to the indicator of investment attractiveness and assessment of investment potential of the region according to various indicators. Subsequently these indicators will make it possible to forecast particular actions for investment support of the region or the studied industry, as well as their rating according to the degree of attractiveness and possible construction of a map with investment-attractive region.

Modeling of Information Flow for Early Warning in Mount Merapi Area, Indonesia

2016 ◽  
Vol 11 (1) ◽  
pp. 60-71 ◽  
Author(s):  
Leslie Jamie Cobar ◽  
◽  
Djoko Legono ◽  
Kuniaki Miyamoto ◽  
Keyword(s):  
Information Flow ◽  
Early Warning ◽  
Early Warning System ◽  
Information Transfer ◽  
Data Transfer ◽  
Warning System ◽  
Volcanic Eruptions ◽  
Flow Network ◽  
The Public ◽  
Flow Through

Indonesia’s Mount Merapi is one of the world’s most active, dangerous volcanoes. Its 2010 eruption – the largest following the 20th century – and succeeding 2011 lahar events killed 389 persons and injured and displaced many more. One way to mitigate a disaster’s impact is the provision of reliable information to the public through a well-established early warning system (EWS). A well-managed information flow network is the key to delivering early warning information, however, there is a lack of understanding on the information transfer down to the citizens. In addition, implementing the 2007 disaster management law may have affected Merapi’s EWS. This study reinvestigates Merapi’s EWS information flow through the construction of an information flow network. A single information flow network was difficult to construct due to the inconsistency of structures per district. Different networks had to be constructed for volcanic eruptions and lahars in each district. Inconsistencies were also found in the roles of the agencies that determine when evacuation orders would be issued. The system also had data transfer gaps and vulnerabilities such as redundancies, mistransfers and bottlenecks. Its use of forecasting information as a basis for decision-making must be reviewed for lahar information flow networks. Improving Merapi’s EWS must involve handling these issues.

Simulation Study for Oasis-Type Urban Systems Sustainable Development - A Case Study on Wuwei City in Gansu Province

2013 ◽  
Vol 869-870 ◽  
pp. 134-141
Author(s):  
Bo Yang ◽  
Pei Ji Shi
Keyword(s):  
Sustainable Development ◽  
Economic Development ◽  
Environmental Pollution ◽  
Supply And Demand ◽  
Urban System ◽  
Development Trend ◽  
Gansu Province ◽  
Urban Systems ◽  
Steady Increase ◽  
The Sustainable Development

Oasis city ecological environment and socio-economic development is the only way to achieve regional sustainable development. The paper takes the use of Wuwei City in 2000-2010 statistics to simulate the next 10 years the sustainable development of the Urban System, using SD simulation model in system dynamics to comparative analysis three simulation program of complex systems including population, economy, water resources, land resources, environmental pollution and other subsystems, and explore the problems of Urban System sustainable development in Wuwei City in the future. The results showed that: only when the various factors within the system have maintained stable development trend, that steady economic development, population growth steady, steady increase water consumption, water emissions control increases, so that Wuwei City will maintain the situation of the balance between supply and demand of resources and environmental pollution, and improve and achieve ultimately the sustainable development of complex n Oasis city System.

scholarly journals A Dynamic Formation Procedure of Information Flow Networks

2015 ◽  
Vol 3 (2) ◽  
pp. 97-110
Author(s):  
Hongwei Gao ◽  
Han Qiao ◽  
Artem Sedakov ◽  
Lei Wang
Keyword(s):  
Information Flow ◽  
Network Formation ◽  
Local Information ◽  
Flow Networks ◽  
Flow Network ◽  
Complete Network ◽  
The Cost ◽  
Dynamic Formation

AbstractA characterization of the equilibrium of information flow networks and the dynamics of network formation are studied under the premise of local information flow. The main result of this paper is that it gives the dynamic formation procedure in the local information flow network. The research shows that core-periphery structure is the most representative equilibrium network in the case of the local information flow without information decay whatever the cost of information is homogeneous or heterogeneous. If the profits and link costs of local information flow networks with information decay are homogeneous empty network and complete network are typical equilibrium networks, which are related to the costs of linking.

Integrating Supply and Demand Perspectives for a Large-Scale Simulation of Shared Autonomous Vehicles

2020 ◽  
Vol 2674 (7) ◽  
pp. 181-192 ◽  
Author(s):  
Krishna Murthy Gurumurthy ◽  
Felipe de Souza ◽  
Annesha Enam ◽  
Joshua Auld
Keyword(s):  
Autonomous Vehicles ◽  
High Performance ◽  
Large Scale ◽  
Choice Model ◽  
Transportation Network ◽  
Supply And Demand ◽  
Transportation Systems ◽  
Point Of View ◽  
Computational Time ◽  
Vehicle Assignment

Transportation Network Companies (TNCs) have been steadily increasing the share of total trips in metropolitan areas across the world. Micro-modeling TNC operation is essential for large-scale transportation systems simulation. In this study, an agent-based approach for analyzing supply and demand aspects of ride-sourcing operation is done using POLARIS, a high-performance simulation tool. On the demand side, a mode-choice model for the agent and a vehicle-ownership model that informs this choice are developed. On the supply side, TNC vehicle-assignment strategies, pick-up and drop-off operations, and vehicle repositioning are modeled with congestion feedback, an outcome of the mesoscopic traffic simulation. Two case studies of Bloomington and Chicago in Illinois are used to study the framework’s computational speed for large-scale operations and the effect of TNC fleets on a region’s congestion patterns. Simulation results show that a zone-based vehicle-assignment strategy scales better than relying on matching closest vehicles to requests. For large regions like Chicago, large fleets are seen to be detrimental to congestion, especially in a future in which more travelers will use TNCs. From an operational point of view, an efficient relocation strategy is critical for large regions with concentrated demand, but not regulating repositioning can worsen empty travel and, consequently, congestion. The TNC simulation framework developed in this study is of special interest to cities and regions, since it can be used to model both demand and supply aspects for large regions at scale, and in reasonably low computational time.

scholarly journals Spatial Pattern of Urban System Based on Gravity Model and Whole Network Analysis in Eight Urban Agglomerations of China

2019 ◽  
Vol 2019 ◽  
pp. 1-17
Author(s):  
Qipeng Sun ◽  
Sijie Wang ◽  
Kaiqi Zhang ◽  
Fei Ma ◽  
Xiaozhuang Guo ◽  
...  
Keyword(s):  
Network Analysis ◽  
Spatial Pattern ◽  
Gravity Model ◽  
Network Structure ◽  
Urban System ◽  
Network Structures ◽  
Spatial Form ◽  
High Betweenness ◽  
Development Levels ◽  
High Betweenness Centrality

An urban agglomeration (shorted as UA) is a highly developed spatial form of integrated city and an important driving force for regional economic development. The network of UA mainly reflects the spatial connections and organizational structure of all cities, which is of great significance for understanding the development status of UAs and revealing their development laws. However, there are few horizontal studies comparing the network structure of China’s UAs. This study constructs the economic network of China’s eight UAs with the gravity model and explores the overall network structure and city centrality using indicators in network analysis. Then, two groups of UAs with similar network structures are compared. Finally, the association between the gravity model and empirical data is discussed. The results show that the spatial pattern of cities in UAs can be expressed by the gravity model approximately. Besides, UAs with different development levels present different spatial network structures, but the network structures cannot reflect the development levels of UAs directly. We also find that the cities with high betweenness centrality have greater development potential to be the next growth pole.

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