Evaluation of the Sustainability Indicator for Road Infrastructure in Indonesia

R. Jachrizal Sumabrata, Dadang Iskandar, Radhitya Abiyoga

Research output: Contribution to journalArticlepeer-review

Abstract

The quality of road infrastructure in Indonesia is ranked 64th out of 137 countries studied behind Singapore which was placed 2nd, Malaysia 23rd, Brunei Darussalam 33rd, and Thailand 59th. Therefore, the main objective of this research was to analyze the sustainability indicators for the road infrastructures in the country and also to evaluate the effect of these indicators based on the perceptions of civil servants and contractors. The process involved conducting a literature review to identify the variables and indicators while a survey was used to gauge the perceptions of the respondents. The data obtained were analyzed using the Structural Equation Modeling with a Partial Least Square approach. The results showed the most influential indicator for existing and expected road infrastructures were road lighting with a loading factor of 0.904 and environmental assessment process with 1.000 respectively according to the government employees. Meanwhile, the construction company employees believed it was the environmental assessment process with 1.000 as well as pedestrian access, bicycle route, and public transportation with 1.000 respectively. The usefulness of this research is to produce indicators that can be used by infrastructure managers to improve their performance by seeking the development and maintenance of the right infrastructure so that it can be used according to the needs of the user.

Original languageEnglish
Pages (from-to)2603-2615
Number of pages13
JournalCivil Engineering and Architecture
Volume10
Issue number6
DOIs
Publication statusPublished - Nov 2022

Keywords

  • Indonesia Road Indicator
  • Road Infrastructure
  • Sustainability Indicator

Fingerprint

Dive into the research topics of 'Evaluation of the Sustainability Indicator for Road Infrastructure in Indonesia'. Together they form a unique fingerprint.

Cite this