Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Development of Sidewalk Block Pavement Condition Index (SBPCI) using Analytical Hierarchy Process

Authors
Kim, JangrakPark, DaegeunSuh, YoungchanJung, Donghyuk
Issue Date
Dec-2019
Publisher
MDPI
Keywords
sidewalk pavement; block pavement; pavement condition index; pavement management; AHP; sensitivity analysis
Citation
SUSTAINABILITY, v.11, no.24, pp.1 - 13
Indexed
SCIE
SSCI
SCOPUS
Journal Title
SUSTAINABILITY
Volume
11
Number
24
Start Page
1
End Page
13
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/1979
DOI
10.3390/su11247086
ISSN
2071-1050
Abstract
This study aimed at developing SBPCI (Sidewalk Block Pavement Condition Index) with sidewalk pavement condition survey data of Seoul city in order to attain a quantitative evaluation method of sidewalk pavement condition. The distress patterns of sidewalk pavement were classified into four groups of Crack/Loss, Roughness, Aging, and Corner Break. AHP (Analytic Hierarchy Process) technique was employed on the basis of the raking process of 31 pavement managers in order to analyze the influence of the distress patterns on the sidewalk pavement condition. The AHP analysis result indicated the weight of pop out, roughness, surface abrasion, and corner break were 0.521, 0.244, 0.164, and 0.070, respectively, by distress type. A model equation was derived by using the sidewalk pavement condition data from 420 sections. The correlation analysis between the result of the model equation and distress type revealed that the correlation of corner break was low to be excluded from SBPCI model; while pop out, roughness, and surface abrasion were statistically significant to be used as three variables of the developed SBPCI model.
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF TRANSPORTATION AND LOGISTICS ENGINEERING > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher SUH, YOUNG CHAN photo

SUH, YOUNG CHAN
ERICA 공학대학 (DEPARTMENT OF TRANSPORTATION AND LOGISTICS ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE