Web-based dashboard of data integration for green highway performance management.
Highway concessionaires in Malaysia spend considerable assets for managing different forms of data during highway projects life cycle. In this context, and based on the use of modern technologies, an enormous volume of highway data is generated daily. These data can be utilized to extract and evalua...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Kuwait
2023
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| Subjects: | |
| Online Access: | http://eprints.utm.my/106526/1/RozanaZakaria2023_WebBasedDashboardofDataIntegrationforGreen.pdf http://eprints.utm.my/106526/ http://dx.doi.org/10.36909/jer.15477 |
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| Institution: | Universiti Teknologi Malaysia |
| Language: | English |
| Summary: | Highway concessionaires in Malaysia spend considerable assets for managing different forms of data during highway projects life cycle. In this context, and based on the use of modern technologies, an enormous volume of highway data is generated daily. These data can be utilized to extract and evaluate indicators to analyze highway green performance. Feedback from indicators allows to grasp the sustainable practices and implement corrective actions. Dashboards have become popular in recent years as uniquely powerful tools for communicating important information. This research adopted the approach of centralized data provider to develop a web-based visualization dashboard, as a technique to reinforce decisions in the highway sector. The dashboard will be employed to gain information about highway green performance with the goal of enhancing decisions. In this dashboard, data integration of MyGHI and CFC has been used in illustrating the visualization. The development utilized a web-based system, using HTML and CSS to build up basic static UI; use JavaScript to archive the processing data dynamically; use PHP to control models’ logical function and MySQL database. The quantitative and qualitative measures were used to validate the dashboard. Findings demonstrated an increase in accuracy of data monitoring and quicker decision-making using the Dashboard. |
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