Framework for Managing the Traffic Impacts of Building Construction Projects

Major building construction projects are important to the economic development of urban areas. However, such projects have negative impacts on their surroundings, particularly on traffic. This paper presents a framework for mitigating the traffic impacts of building construction projects in urban areas. The proposed framework consists of two stages: identification of the logistical construction requirements and development of an impact mitigation plan to control the negative effects of construction traffic on the road network and the surrounding community. The adopted methodology includes (1) a review of the available construction traffic management plans for twenty large building projects worldwide, (2) site visits to seven large building construction projects in urban areas and (3) multidisciplinary focus group sessions to extract knowledge and synthesise the proposed framework for managing the traffic impacts of building construction projects. The suggested framework provides systematic guidance for construction planners and site managers in developing a traffic management and impact mitigation plan for building construction projects. This framework could also help construction planners and site managers to better plan and manage construction activities to minimise the impact on the surrounding roads and minimise unnecessary delays by organising timely movement of resources to and from the construction site

Automated trade-off between time and cost in planning repetitive construction projects

An automated model is developed to support the optimization of the planning and scheduling of repetitive construction projects. The model provides the capability of optimizing two important objectives commonly sought in scheduling repetitive construction projects: minimizing project duration; and minimizing project cost. The model performs this multi-objective optimization using a genetic algorithm approach. The output of the model is a set of optimal solutions that represent the trade-off between time and cost in planning repetitive construction projects. Furthermore, the model can be utilized to find a single scheduling solution that provides the minimum overall project cost by simply adding project indirect cost to the obtained project direct cost for each of the obtained scheduling solutions on the Pareto optimal curve. Other important time-related costs are also considered in the model including: early completion incentives, late completion penalties and lane rental costs. Providing the planners of repetitive construction projects with an automated set of optimal time-cost trade-off solutions should contribute to cost-effective and speedy delivery of this type of construction project. An application example is analysed to illustrate the use of the model and demonstrate its capabilities in generating optimal trade-off solutions between minimizing the project time and cost for repetitive construction projects.Repetitive construction, scheduling, genetic algorithms, optimization, resource utilization,