2018
DOI: 10.2478/pomr-2018-0113
|View full text |Cite
|
Sign up to set email alerts
|

Exploration of Land Development Intensity Index of Port Container Logistics Park Based on Quantitative Algorithm and Pent Analysis Method

Abstract: To give full play to the circulation function of the port container logistics park, it is urgent to study the development intensity of the land in the port container logistics park and to guide the scientific development of the port logistics park with reasonable development intensity control index. The current situation of land development intensity control index of container logistics park at home and abroad is analysed, the PENT (politics, economy, society and technology) analysis method is used to analyse … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2021
2021
2021
2021

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 17 publications
0
1
0
Order By: Relevance
“…The projection pursuit multiple linear regression analysis method based on the extraction of heterogeneous characteristics factors. Firstly, according to the common characteristics of landforms in the water of the Xisha Islands, this method divides the affiliation of independent variables to the heterogeneous characteristics (Lyu et al, 2018). Then, the projection pursuit technology is used to classify the independent variables into the characteristic factors.…”
Section: Multiple Linear Regression Analysis Of Projection Pursuit Based On Extracting the Factors Of Heterogeneous Characteristicsmentioning
confidence: 99%
“…The projection pursuit multiple linear regression analysis method based on the extraction of heterogeneous characteristics factors. Firstly, according to the common characteristics of landforms in the water of the Xisha Islands, this method divides the affiliation of independent variables to the heterogeneous characteristics (Lyu et al, 2018). Then, the projection pursuit technology is used to classify the independent variables into the characteristic factors.…”
Section: Multiple Linear Regression Analysis Of Projection Pursuit Based On Extracting the Factors Of Heterogeneous Characteristicsmentioning
confidence: 99%