Exploiting 3D modelling and Life Cycle Assessment to improve the sustainability of Pavement Management

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


Today road agencies worldwide face difficult decisions for construction, maintenance and rehabilitation of their road infrastructure as they try to balance limited budgets. This is further complicated rising environmental concerns over equipment and techniques used for these practices. This has led agencies to consider alternative approaches for smarter and sustainable pavement asset management systems. This paper considers the use of a low-cost 3D image modelling distress identification and classification proposal for data acquisition and analysis. To establish its environmental friendliness, a case study in Palermo, Italy, is considered wherein a Life Cycle Assessment (LCA) exercise is done. A base case using current practices is considered and compared to the optimized system to define environmental impacts. The results show the proposed methods yield both environmental and economic benefits for road agencies providing crucial savings which can be allocated to other sections of road networks in need of maintenance.
Original languageEnglish
Title of host publicationProceedings of 4th International Symposium on New Metropolitan Perspectives, NMP 2020 vol. 2
Number of pages10
Publication statusPublished - 2020

Publication series


All Science Journal Classification (ASJC) codes

  • General Decision Sciences
  • General Computer Science


Dive into the research topics of 'Exploiting 3D modelling and Life Cycle Assessment to improve the sustainability of Pavement Management'. Together they form a unique fingerprint.

Cite this