Engineering, Construction and Architectural Management: Volume 6 Issue 3

Subject:

Table of contents

Modelling cost‐flow forecasting for water pipeline projects using neural networks

A.H. BOUSSABAINE, R. THOMAS, T.M.S. ELHAG

This paper furthers work that already exists in the use of artificial intelligence techniques to forecast cost flow for construction projects. The paper explains the need for…

Risk management trends in the Hong Kong construction industry: a comparison of contractors and owners perceptions

SYED M. AHMED, RIAZ AHMAD, D. DARSHI DE SARAM

This paper reports a study carried out to compare the attitudes and perceptions of Hong Kong construction contractors and owners on the importance of various construction risks…

The need for life‐cycle integration of project processes

ALI JAAFARI, KITSANA MANIVONG

The focus of this paper is on life‐cycle objective‐based project management systems in general, and SPMIS in particular. SPMIS (short for Smart Project Management Information…

2126

The development of a benchmark model that uses historical data for monitoring the progress of current construction projects

A.P. KAKA

Conventional methods of project duration control primarily rely on comparing contracts programs with actual progress. Detailed barcharts are often produced and progress is…

Pre‐bid building price forecasting accuracy: price intensity theory

JOHN GUNNER, MARTIN SKITMORE

A theory of pre‐bid building price forecasting accuracy is proposed, based on the heuristic bias framework and with reference to the common practice of basing building price…

The implications of environmental issues on UK construction management

CHRISTINE PASQUIRE

The paper identifies the broad environmental issues and legislation affecting the construction industry in the UK and goes on to place the environment firmly on the construction…

1031

Evaluation of factors affecting time and cost performance in Hong Kong building projects

SUNIL M. DISSANAYAKA, MOHAN M. KUMARASWAMY

Time and cost are usually critical to construction clients. Given the many contributory factors, improved quantitative models of time and cost may help clients to predict project…

1093

Design/construction integration: issues and illustrative prototype

NABIL A. KARTAM

The architecture, engineering and construction (AEC) industry is epitomized by a wide range of project business lines, different project scopes, unique client requirements, and a…

Neural network model for contractors' prequalification for local authority projects

FARZAD KHOSROWSHAHI

The way in which clients or their consultants undertake to select firms to tender for a given project is a highly complex process and can be very problematic. This is also true…

Cover of Engineering, Construction and Architectural Management

ISSN:

0969-9988

Online date, start – end:

1994

Copyright Holder:

Emerald Publishing Limited

Open Access:

hybrid

Editor:

  • Professor Chimay Anumba