A quantitative approach to construction pollution control based on resource levelling

Heng li, Zhen Chen, Conrad T. C. Wong, Peter E. D. Love

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

A quantitative approach for construction pollution control that is based on construction resource levelling is presented. The parameters of construction pollution index (CPI) and hazard magnitude (hi) are treated as a pseudo resource and integrated with a project’s construction schedule. When the level of pollution for site operations exceeds the permissible limit identified by a regulatory body, a Genetic Algorithm (GA) enhanced levelling technique is used to reschedule project activities so that the level of pollution can be redistributed and thus reduced. The GA enhanced resource levelling technique is demonstrated using 20 onsite construction activities in a project. Experimental results indicate that the proposed GA enhanced resource levelling method performs better than the traditional resource levelling method used in MS Project

Original languageEnglish
Pages (from-to)71-81
Number of pages11
JournalConstruction Innovation
Volume2
Issue number2
DOIs
Publication statusPublished - 1 Jun 2002
Externally publishedYes

Keywords

  • genetic algorithm
  • pollution control
  • resource levelling

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