skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Population vs. Intersection Densities: An Assessment of a Correlation Using Spatial Comparison and Regression Analysis in Yaoundé, Cameroon

The open transportation journal, 2022-12, Vol.16 (1), p.e187444782211180 [Peer Reviewed Journal]

2022. This work is published under https://creativecommons.org/licenses/by/4.0/legalcode (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1874-4478 ;EISSN: 1874-4478 ;DOI: 10.2174/18744478-v16-e221125-2022-31

Full text available

Citations Cited by
  • Title:
    Population vs. Intersection Densities: An Assessment of a Correlation Using Spatial Comparison and Regression Analysis in Yaoundé, Cameroon
  • Author: Essola, Edouard Bengono ; Yeom, Chunho
  • Subjects: Central business districts ; Regression analysis
  • Is Part Of: The open transportation journal, 2022-12, Vol.16 (1), p.e187444782211180
  • Description: Background: Intersection density is associated with block size and positively affects pedestrian volume. Objective: This study aimed to show that intersection density and population match across Yaoundé using spatial comparison and regression analysis. Methods: For spatial comparison, the mean values of the variables (intersection and population densities) were computed for each administrative subdivision in Yaoundé. The results are reported in a table representing Yaoundé and how the subdivisions share boundaries. For comparison, a table was created for each variable. Simple linear regression with a confidence level of 95% was used for regression analysis. Results: Spatial analysis revealed that the pattern of population density was similar to that of intersection density. However, this was disturbed by the proximity to the central business district (CBD). Regression analysis demonstrated that both variables moderately covariate with the influence of CBD. When assuming a weak influence of CBD, they are strong covariates. Statistically, in both cases, the correlation between population and intersection densities did not occur randomly (small p-values). Conclusion: The results imply that intersection density is a strong lever that influences citizen behavior. Future planning policies in Yaoundé should consider increasing intersection density in the most crowded areas. It will contribute to the better management of high pedestrian flows in these areas.
  • Publisher: Sharjah: Benham Science Publishers
  • Language: English
  • Identifier: ISSN: 1874-4478
    EISSN: 1874-4478
    DOI: 10.2174/18744478-v16-e221125-2022-31
  • Source: ProQuest Central
Back to results list
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait