Linkage analysis of tourism‐related sectors in China: An assessment based on network analysis technique

2019 ◽  
Vol 21 (4) ◽  
pp. 531-543 ◽  
Author(s):  
Jianping Zha ◽  
Yuhong Shao ◽  
Zhiyong Li
2019 ◽  
Vol 11 (15) ◽  
pp. 4077 ◽  
Author(s):  
Juan Antonio Araiza-Aguilar ◽  
Constantino Gutiérrez-Palacios ◽  
María Neftalí Rojas-Valencia ◽  
Hugo Alejandro Nájera-Aguilar ◽  
Rubén Fernando Gutiérrez-Hernández ◽  
...  

This paper proposes a solution to the current problems of Mexico City (Ciudad de México) with respect to construction and demolition waste, through a spatial analysis to locate a waste treatment and disposal infrastructure. Two analysis methodologies, specifically the multi-criteria evaluation technique and network analysis, are used with the support of geographic information systems. The results of the multi-criteria evaluation technique indicate that the most suitable places for this infrastructure location are in the south and southeast of the study area, in the Tlalpan, Milpa Alta, Xochimilco and Cuajimalpa boroughs. The results of the network analysis technique indicate that four facilities strategically located in Miguel Hidalgo, Gustavo A. Madero, Tlahuac and Tlalpan boroughs would permit the provision of service to almost all waste generation points in the study area. Decision makers in Mexico City can use either of the two approaches. If the objective is to find the best location of a single place for the treatment or disposal of huge amounts of waste, the results obtained with the multi-criteria evaluation technique should be used. On the other hand, if waste treatment is favored over final disposal, decision makers should use the results of the network analysis technique.


2016 ◽  
Vol 78 (9-3) ◽  
Author(s):  
Abdus-samad Temitope Olanrewaju ◽  
Rahayu Ahmad ◽  
Kamarul Faizal Hashim

Information dissemination during disaster is very crucial, but inherits several complexities associated with the dynamic characteristics of the disaster. Social media evangelists (activists) play an important role in disseminating critical updates at on-site locations. However, there is limited understanding on the network structure formed and its evolution and the types of information shared. To address these questions, this study employs Social Network Analysis technique on a dataset containing 157 social media posts from an influential civilian fan page during Malaysia’s flood. The finding demonstrates three different network structures emerged during the flood period. The network structure evolves depending on the current state of the flood, the amount of information available and the need of information. Through content analysis, there were seven types of information exchanges discovered. These information exchanges evolved as the scale and magnitude of flood changes. In conclusion, this study shows the emergence of different network structures, density and identification of influential information brokers among civilians that use social media during disaster. Despite the low number of influential information brokers, they successfully manage their specific cluster in conveying information about the disaster and most importantly coordinating the rescue mission.


2006 ◽  
Vol 74 (8) ◽  
Author(s):  
Shourov Chatterji ◽  
Albert Lazzarini ◽  
Leo Stein ◽  
Patrick J. Sutton ◽  
Antony Searle ◽  
...  

2019 ◽  
Vol 8 (9) ◽  
pp. 422
Author(s):  
John B. Lindsay ◽  
Wanhong Yang ◽  
Duncan D. Hornby

Drainage network analysis includes several operations that quantify the topological organization of stream networks. Network analysis operations are frequently performed on streams that are derived from digital elevation models (DEMs). While these methods are suited to application with fine-resolution DEM data, this is not the case for coarse DEMs or low-relief landscapes. In these cases, network analysis that is based on mapped vector streams is an alternative. This study presents a novel vector drainage network analysis technique for performing stream ordering, basin tagging, the identification of main stems and tributaries, and the calculation of total upstream channel length and distance to outlet. The algorithm uses a method for automatically identifying outlet nodes and for determining the upstream-downstream connections among links within vector stream networks while using the priority-flood method. The new algorithm was applied to test stream datasets in two Canadian study areas. The tests demonstrated that the new algorithm could efficiently process large hydrographic layers containing a variety of topological errors. The approach handled topological errors in the hydrography data that have challenged previous methods, including disjoint links, conjoined channels, and heterogeneity in the digitized direction of links. The method can provide a suitable alternative to DEM-based approaches to drainage network analysis, particularly in applications where stream burning would otherwise be necessary.


2014 ◽  
Vol 21 ◽  
pp. 2
Author(s):  
L. Nyakarahuka ◽  
B. Knust ◽  
I. Schafer ◽  
S. Nzietchueng ◽  
J. Wamala ◽  
...  

2019 ◽  
Vol 33 (14n15) ◽  
pp. 1940049
Author(s):  
Sujito ◽  
Huu-Duy Tran ◽  
Yueh-Ling Lin ◽  
Hung-Yu Wang

A sequential method of analysis of nullor-based active network is presented. The symbolic circuit analysis can be performed easily with the knowledge of properties of circuit elements including nullor elements. The practical circuit examples are given to demonstrate the feasibility of the proposed approach.


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