scholarly journals Study on the Influence of Road Network on the Spatial Distribution of Tourism Resources – A Case Study of the Sichuan-Tibet Scenic Byway

CONVERTER ◽  
2021 ◽  
pp. 242-256
Author(s):  
Bo Zhang, Boming Tang, Liangyu Zhou, Ke Huang
Keyword(s):  
Spatial Distribution ◽  
Spatial Structure ◽  
Road Network ◽  
Spillover Effect ◽  
Global Scale ◽  
Matthew Effect ◽  
Regional Tourism ◽  
Tourism Resources ◽  
Positive Direct ◽  
Spatial Spillover Effect

Objectives: The Sichuan-Tibet Scenic Byway is one of the most well-known scenic byway in China. Researching on the mechanism of action between the routes and tourism resources nodes of the Sichuan-Tibet Scenic Byway network, will benefit the Sichuan-Tibet Scenic Byway’s development by changing the development patterns of the Scenic Byway from “point-line” to network, and will be helpful to promote the integration of tourism resources along the route, furthermore to construct the Sichuan-Tibet Scenic Byway as a destination of all-for-one tourism. Methods: Based on the spatial design network analysis (sDNA model), GIS spatial analysis and other methods, the current study analyzed regional tourism resources and the spatial characteristics of road network morphology along the Sichuan-Tibet Scenic Byway, and explored the influence of road network forms on the spatial distribution of tourism resources and its spatial spillover effect by combining with spatial econometric model. Results: The distribution pattern of tourism resources along the Sichuan-Tibet Scenic Road is “dense at both ends and sparse in the middle”, and the “Matthew Effect” is significant. The spatial structure of road network varies significantly at different scales; at the global scale, the spatial structure shows “one axis and two cores”, at the local scale, it shows "two cores and multiple nodes"; Every road network variable has spatial spillover effect on the distribution of tourism resources. The global scale Closeness (NQPDE) has significant positive direct effect and negative spillover effect on tourism resources distribution. Every 1% increase in local closeness will promote an increase of 0.811% and -0.99% in the distribution of local and adjacent tourism resources, respectively. Betwenness (TPBTE) has significant positive direct effect and positive spillover effect on the distribution of tourism resources. Every 1% increase in local betwenness will promote an increase of 0.337% and 1.860% in the distribution of local and adjacent tourism resources, respectively. Conclusions: The distribution of tourism resources along the Sichuan-Tibet Scenic Byway’s shows significant “Matthew Effect”. The spatial structure of the Sichuan-Tibet Scenic Byway network varies significantly at different scales. At the global scale, firstly, it has better accessibility and centrality, which is more attractive to the global road network; secondly, the road network is more traversable, which means it bears greater traffic volume, which is more inconsistent with the actual High-grade highways bear more long-distance traffic flows to match; thirdly, they distribution of tourism resources are generally in line with the spatial orientation of National Highway 318. Traffic conditions are an indispensable and important condition for promoting the healthy development of the distribution of regional tourism resources. Closeness (NQPDE) is an important factor affecting the spatial distribution and growth potential of local tourism resources, but it will relatively weaken the development opportunities and cost advantages of tourism resources in neighboring regions, and inhibit the distribution of tourism resources in neighboring regions. Betwenness (TPBtE) is the key to promote global tourism, especially the rapid transportation system can accelerate the integration and reconstruction of tourism elements. This study aims to promote the sound development of the Sichuan-Tibet Scenic Byway network layout and the distribution of regional tourism resources in the post-epidemic era, and to provide reference for the spatial planning of tourism transportation and the optimal allocation of tourism elements.

Spatial Patterns of Urban Innovation and Their Evolution from Perspectives of Capacity and Structure: Taking Shenzhen as an Example

2021 ◽  
Vol 11 (1) ◽  
pp. 7
Author(s):  
Erjie Hu ◽  
Di Hu ◽  
Handong He
Keyword(s):  
Spatial Distribution ◽  
Spatial Pattern ◽  
Distribution Pattern ◽  
Spatial Patterns ◽  
Spillover Effect ◽  
Tertiary Industry ◽  
Innovation Capacity ◽  
Structure Index ◽  
Secondary Industry ◽  
Spatial Spillover Effect

Innovation is a key factor for a country’s overall national strength and core competitiveness. The spatial pattern of innovation reflects the regional differences of innovation development, which can provide guidance for the regional allocation of innovation resources. Most studies on the spatial pattern of innovation are at urban and above spatial scale, but studies at urban internal scale are insufficient. The precision and index of the spatial pattern of innovation in the city needs to be improved. This study proposes to divide spatial units based on geographic coordinates of patents, designs the innovation capability and innovation structure index of a spatial unit and their calculation methods, and then reveals the spatial patterns of innovation and their evolutionary characteristics in Shenzhen during 2000–2018. The results show that: (1) The pattern of innovation capacity of secondary industry exhibited a pronounced spatial spillover effect with a positive spatial correlation. The innovation capacity and innovation structure index of the secondary industry evolved in a similar manner; i.e., they gradually extended from the southwest area to the north over time, forming a tree-like distribution pattern with the central part of the southwest area as the “root” and the northwest and northeast areas as the “canopy”. (2) The pattern of innovation capacity of tertiary industry also had a significant spatial spillover effect with a positive spatial correlation. There were differences between the evolutions of innovation capacity and innovation structure index of tertiary industry. Specifically, its innovation capacity presented a triangular spatial distribution pattern with three groups in the central and eastern parts of the southwest area and the south-eastern part of the northwest area as the vertices, while its innovative structure showed a radial spatial distribution pattern with the southwestern part of the southwest area as the source and a gradually sparse distribution toward the northeast. (3) There were differences between the evolution modes of secondary and tertiary industries. Areas with high innovation capacity in the secondary industry tended to be more balanced, while areas with high innovation capacity in the tertiary industry did not necessarily have a balanced innovation structure. Through the method designed in this paper, the spatial pattern of urban innovation can be more precise and comprehensive revealed, and provide useful references for the development of urban innovation.

scholarly journals Effect of Complex Road Networks on Intensive Land Use in China’s Beijing-Tianjin-Hebei Urban Agglomeration

Land ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 532
Author(s):  
Chen Zeng ◽  
Zhe Zhao ◽  
Cheng Wen ◽  
Jing Yang ◽  
Tianyu Lv
Keyword(s):  
Land Use ◽  
Road Network ◽  
Spillover Effect ◽  
Urban Agglomeration ◽  
Land Use Intensity ◽  
Spatial Econometric ◽  
Spatial Spillover ◽  
The Road ◽  
Intensive Land Use ◽  
Spatial Spillover Effect

Coupled with rapid urbanization and urban expansion, the spatial relationship between transportation development and land use has gained growing interest among researchers and policy makers. In this paper, a complex network model and land use intensity assessment were integrated into a spatial econometric model to explore the spatial spillover effect of the road network on intensive land use patterns in China’s Beijing–Tianjin–Hebei (BTH) urban agglomeration. First, population density, point of interest (POI) density, and aggregation index were selected to measure land use intensity from social, physical, and ecological aspects. Then, the indicator of average degree (i.e., connections between counties) was used to measure the characteristics of the road network. Under the hypothesis that the road network functions in shaping land use patterns, a spatial econometric model with the road network embedded spatial weight matrix was established. Our results revealed that, while the land use intensity in the BTH urban agglomeration increased from 2010 to 2015, the road network became increasingly complex with greater spatial heterogeneity. The spatial lag coefficients of land use intensity were positively significant in both years and showed a declining trend. The spatially lagged effects of sector structure, fixed asset investment, and consumption were also significant in most of our spatial econometric models, and their contributions to the total spillover effect increased from 2010 to 2015. This study contributes to the literature by providing an innovative quantitative method to analyze the spatial spillover effect of the road network on intensive land use. We suggest that the spatial spillover effect of the road network could be strengthened in the urban–rural interface areas by improving accessibility and promoting population, resource, and technology flows.

Spatial Integration and Structural Optimization of Tourism Resources in Jiangsu by Analyzing the Condensation Nucleus

2014 ◽  
Vol 641-642 ◽  
pp. 654-657
Author(s):  
Tao Hong ◽  
Hong Wu
Keyword(s):  
Spatial Structure ◽  
Regional Scale ◽  
Condensation Nucleus ◽  
Spatial Integration ◽  
Tourist Destination ◽  
The Sustainable Development ◽  
Regional Tourism ◽  
Tourism Product ◽  
Tourism Resources ◽  
Tourism Spatial Structure

With the tendency towards diversity and personalization of tourism product supply and tourists’ demands, tourism spatial structure at regional scale becomes a hot research topic. The rationality of tourism spatial structure affects the soundness of the tourist destination and the degree of the sustainable development. To carry out the study on the spatial structure of regional tourism system and construct the optimal mode of overall regional tourism development can provide theory and decision support to promote the collaborative development of regional tourism. The article puts forward the general strategies for the integration of regional tourism resources by analyzing the condensation nucleus and spatial divergence of the distribution of the tourism resources in Jiangsu.

scholarly journals Spatial Spillover Effect of Heterogeneous Environmental Regulation On Ecological Welfare Performance in China

2021 ◽  
Author(s):  
guo bing nan ◽  
tang li ◽  
jia ru ◽  
lin ji
Keyword(s):  
Spatial Distribution ◽  
Environmental Regulation ◽  
Regional Differences ◽  
Environmental Regulations ◽  
Spillover Effect ◽  
Voluntary Participation ◽  
Spatial Spillover ◽  
Different Types ◽  
The Impact ◽  
Spatial Spillover Effect

Abstract This paper constructs a theoretical model to deduce the mechanism of environmental regulation on ecological welfare performance, selects the panel data of 30 provinces in China from 2005 ~ 2019, uses the Super-SBM model to measure the ecological welfare performance of China, and the influence of heterogeneous environmental regulation on ecological welfare performance in China is empirically tested by spatial Durbin model. The results show: (1) there are regional differences in the ecological welfare performance of different provinces in China, which illustrates an unbalanced spatial distribution; (2) there is significant positive spatial correlation between market incentive, command -control and voluntary participation environmental regulation and ecological welfare performance; (3) The impact of different types of environmental regulations on the performance of ecological welfare in China is heterogeneous. Command-control and market incentive environmental regulations can improve the performance of ecological welfare, while voluntary participation environmental regulations have no significant impact on the performance of ecological welfare; (4) From the perspective of spatial spillover effect, command-control environmental regulation is not conducive to the ecological welfare performance of neighboring regions, while market incentive environmental regulation is conducive to the improvement of ecological welfare performance of adjacent areas. The spatial spillover effect of voluntary participation environmental regulation on ecological welfare performance in adjacent areas is not significant.

Effects of tourism development on economic growth: An empirical study of China based on both static and dynamic spatial Durbin models

2021 ◽  
pp. 135481662110211
Author(s):  
Honghong Liu ◽  
Ye Xiao ◽  
Bin Wang ◽  
Dianting Wu
Keyword(s):  
Economic Growth ◽  
Spillover Effect ◽  
Tourism Development ◽  
Spillover Effects ◽  
Policy Implications ◽  
Long Term Effects ◽  
Spatial Spillover ◽  
Domestic Tourism ◽  
Inbound Tourism ◽  
Spatial Spillover Effect

This study applies the dynamic spatial Durbin model (SDM) to explore the direct and spillover effects of tourism development on economic growth from the perspective of domestic and inbound tourism. The results are compared with those from the static SDM. The results support the tourism-led-economic-growth hypothesis in China. Specifically, domestic tourism and inbound tourism play a significant role in stimulating local economic growth. However, the spatial spillover effect is limited to domestic tourism, and the spatial spillover effect of inbound tourism is not significant. Furthermore, the long-term effects are much greater than the short-term impact for both domestic and inbound tourism. Plausible explanations of these results are provided and policy implications are drawn.

scholarly journals Spatial Spillover Effect and Influencing Factors of Information Flow in Urban Agglomerations—Case Study of China Based on Baidu Search Index

2021 ◽  
Vol 13 (14) ◽  
pp. 8032
Author(s):  
Chengzhuo Wu ◽  
Li Zhuo ◽  
Zhuo Chen ◽  
Haiyan Tao
Keyword(s):  
Influencing Factors ◽  
Information Flow ◽  
Spillover Effect ◽  
Spillover Effects ◽  
Urban Agglomeration ◽  
Coordinated Development ◽  
Spatial Spillover ◽  
Urban Agglomerations ◽  
Search Index ◽  
Spatial Spillover Effect

Cities in an urban agglomeration closely interact with each other through various flows. Information flow, as one of the important forms of urban interactions, is now increasingly indispensable with the fast development of informatics technology. Thanks to its timely, convenient, and spatially unconstrained transmission ability, information flow has obvious spillover effects, which may strengthen urban interaction and further promote urban coordinated development. Therefore, it is crucial to quantify the spatial spillover effect and influencing factors of information flows, especially at the urban agglomeration scale. However, the academic research on this topic is insufficient. We, therefore, developed a spatial interaction model of information flow (SIM-IF) based on the Baidu Search Index and used it to analyze the spillover effects and influencing factors of information flow in the three major urban agglomerations in China, namely Beijing–Tianjin–Hebei (BTH), the Yangtze River Delta (YRD), and the Pearl River Delta (PRD) in the period of 2014–2019. The results showed that the SIM-IF performed well in all three agglomerations. Quantitative analysis indicated that the BTH had the strongest spillover effect of information flow, followed by the YRD and the PRD. It was also found that the hierarchy of cities had the greatest impact on the spillover effects of information flow. This study may provide scientific basis for the information flow construction in urban agglomerations and benefit the coordinated development of cities.

Plant induced spatial distribution of nematodes in a semi-natural grassland

Nematology ◽  
2007 ◽  
Vol 9 (1) ◽  
pp. 131-142 ◽  
Author(s):  
Maria Viketoft
Keyword(s):  
Multivariate Analysis ◽  
Spatial Distribution ◽  
Spatial Structure ◽  
Plant Species ◽  
Trifolium Repens ◽  
Individual Plant ◽  
Nematode Communities ◽  
The Family ◽  
Natural Grassland ◽  
Nematode Fauna

AbstractThis study describes the nematode community in a semi-natural grassland and investigates if certain individual plant species can cause a spatial structure in the nematode fauna. Nematode communities were analysed in soil under Trifolium repens, Festuca ovina and from randomly taken samples. Seventy-nine nematode genera were identified. Some of the species found have not previously been reported from Sweden. Multivariate analysis separated the nematode communities associated with the two selected plant species from each other, and several individual nematode genera differed in abundance between the plant species. Trifolium repens supported greater populations of the plant feeder Tylenchorhynchus and the bacterial feeders Eucephalobus, Chiloplacus, Eumonhystera and Panagrolaimus, but fewer numbers of the bacterial feeder Achromadora. Soil under F. ovina contained more nematodes from the family Alaimidae. A comparison is given with other studies from grassland systems in Sweden.

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