Antony Hermawan, Andri Irfan Rifai, Usmanul Hayadi Umar
{"title":"Analysis of Pavement Condition Index Method for Maintenance and Rehabilitation Strategy for Airport Flexible Pavement: A Bibliometric Review","authors":"Antony Hermawan, Andri Irfan Rifai, Usmanul Hayadi Umar","doi":"10.46799/ajesh.v3i4.292","DOIUrl":null,"url":null,"abstract":"This study presents a comprehensive bibliometric review aimed at examining the effectiveness and applicability of the pavement condition index (PCI) method, particularly in assessing airport pavement distress and guiding maintenance and rehabilitation (M&R) strategies. Through bibliometric analysis spanning the last two decades, we investigate the evolution of the PCI method in both road and airport pavement contexts, exploring patterns of keyword co-occurrence, co-authorship, geographical distribution, and publication trends. Our findings reveal significant advancements in the PCI model and associated M&R strategies, largely driven by technological innovations. However, limitations are identified in current bibliometric analysis tools, such as Harzing's Publish or Perish, particularly concerning handling large datasets. Practical implications highlight the importance of integrating bibliometric analysis tools with automated big data handling to enhance research efficiency and reliability. Future research should focus on improving methodological integration to streamline the visualization of scientific network techniques with minimal effort and time investment.","PeriodicalId":505426,"journal":{"name":"Asian Journal of Engineering, Social and Health","volume":" 9","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Journal of Engineering, Social and Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46799/ajesh.v3i4.292","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This study presents a comprehensive bibliometric review aimed at examining the effectiveness and applicability of the pavement condition index (PCI) method, particularly in assessing airport pavement distress and guiding maintenance and rehabilitation (M&R) strategies. Through bibliometric analysis spanning the last two decades, we investigate the evolution of the PCI method in both road and airport pavement contexts, exploring patterns of keyword co-occurrence, co-authorship, geographical distribution, and publication trends. Our findings reveal significant advancements in the PCI model and associated M&R strategies, largely driven by technological innovations. However, limitations are identified in current bibliometric analysis tools, such as Harzing's Publish or Perish, particularly concerning handling large datasets. Practical implications highlight the importance of integrating bibliometric analysis tools with automated big data handling to enhance research efficiency and reliability. Future research should focus on improving methodological integration to streamline the visualization of scientific network techniques with minimal effort and time investment.