Study on Vulnerability Evaluation Method of Lightning Disaster based on Projection Pursuit Dynamic Clustering Model

Zhang, Xinli; Huang, Min

doi:10.2991/iceep-18.2018.166

Cited by 1 publication

(3 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the other hand, projection pursuit clustering (PPC) technology can be applied to the modeling of high-dimensional nonlinear and abnormal distribution data [29][30][31][32][33][34][35]. e basic concept of PPC modeling is completely consistent with the human thinking mode of comprehensive evaluation, ranking, and classification and has been widely used in the fields of management science, social science, natural science, and so on.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Second, it is to establish a PPR model with too few samples, which is less than the number of evaluation indicators, so it is impossible to establish a stable and reliable PPR model. ird, Zhang and Huang [33] adopted a dynamic clustering PPC model (namely, DCPP) and used RAGA for optimization, and the objective function used is wrong. e correct objective function is put forward [34].…”

Section: Literature Reviewmentioning

confidence: 99%

“…It is very difficult to get the real optimal of the model (1). As a rule, metaheuristic algorithms that are nature inspired are prominent because of their considerable and efficient performance when it comes to dealing with projection index function that is complex; this has been observed in the past two decades [23][24][25][29][30][31][32][33][34].…”

Section: E Principle and Characters Of Parasitism-predationmentioning

confidence: 99%

See 2 more Smart Citations

Vulnerability Assessment and Spatiotemporal Differentiation of Provinces Tourism Economic System Based on the Projection Pursuit Clustering Model

Wang

2021

Discrete Dynamics in Nature and Society

View full text Add to dashboard Cite

The vulnerability assessment indicator system (VAIS), including the tourism economic sensitivity and respondence, is modified and established in this paper. According to the collected data, during 2014–2018 of the 31 provinces of China, of the tourism economy sensitivity and respondence, the improved comprehensive evaluation projection pursuit clustering (PPC) model is established, and the vulnerability indexes of the 31 provinces are calculated, thus expanding the tourism economic vulnerability assessment methods. Our empirical results show that, during the period of 2014 to 2018, the sensitivity, the respondence, and the vulnerability indexes are unbalanced overall. The tourism economy sensitivity and the respondence show that the spatiotemporal distribution characteristics are high in the east and low in the west. On the contrary, as for the vulnerability, the spatiotemporal distribution characteristics are low in the east and high in the west. Among the 40 indicators, the ratio of industrial solid waste utilized (%), urbanization rate, and the density of grade highway and railway network (km/km2) have the greatest impact on the respondence, while the proportion of the population affected by natural disasters, the diversification index of industrial structure, and the number of traffic accident casualties have the most significant impact on the sensitivity, which are the indicators that have the greatest impact on vulnerability. Therefore, in order to effectively reduce sensitivity, improve respondence, and thus reduce the vulnerability index of the tourism economy, the provinces should first improve the above-mentioned evaluation indicators with the largest weights. Our research results in this paper enrich the theory of sustainable development of the tourism industry and derive managerial and policy insights for further achieving the high-quality development of the tourism economy.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%