Search results

1 – 3 of 3
Per page
102050
Citations:
Loading...
Available. Open Access. Open Access
Article
Publication date: 24 February 2021

Petra Bosch-Sijtsema, Christina Claeson-Jonsson, Mikael Johansson and Mattias Roupe

This paper aims to focus on 11 digital technologies (i.e. building information modeling, artificial intelligence and machine learning, 3D scanning, sensors, robots/automation…

6956

Abstract

Purpose

This paper aims to focus on 11 digital technologies (i.e. building information modeling, artificial intelligence and machine learning, 3D scanning, sensors, robots/automation, digital twin, virtual reality, 3D printing, drones, cloud computing and self-driving vehicles) that are portrayed in future trend reports and hype curves. The study concentrates on the current usage and knowledge of digital technologies in the Swedish architecture, engineering and construction (AEC) industry to gain an insight in the possible expectations and future trajectory of these digital technologies.

Design/methodology/approach

The study applies an abductive approach which is based on three different types of methods. These methods are a literature and document study which focused on 11 digital technologies, two workshops with industry (13 participants) and an online survey (N = 84).

Findings

The paper contributes to a current state analysis of the Swedish AEC industry concerning digital technologies and discusses the trajectory of these technologies for the AEC industry. The paper identifies hype factors, in which the knowledge of a digital technology is related to its usage. From the hype factors, four zones that show different stages of digital technology usage and maturity in the industry are induced.

Originality/value

The contribution of the paper is twofold. The paper shows insight into opportunities, the current barriers, use and knowledge of digital technologies for the different actors in the AEC industry. Furthermore, the study shows that the AEC industry is behind the traditional Gartner hype curves and contributes with defining four zones for digital technologies for the Swedish AEC industry: confusion, excitement, experimentation and integration.

Details

Construction Innovation , vol. 21 no. 4
Type: Research Article
ISSN: 1471-4175

Keywords

Access Restricted. View access options
Article
Publication date: 7 October 2013

Rizal Sebastian, Christina Claeson-Jonsson and Roberto Di Giulio

This paper aims to introduce a method of performance-based procurement, based on the most economically advantageous tender (MEAT), for low-disturbance bridge construction projects…

1412

Abstract

Purpose

This paper aims to introduce a method of performance-based procurement, based on the most economically advantageous tender (MEAT), for low-disturbance bridge construction projects in urban environment.

Design/methodology/approach

The first part of this paper reviews the key performance indicators (KPIs) of low-disturbance construction and the procurement procedure based on the MEAT principles. The second part reflects on two actual bridge projects (the Rotebro bridge in Sweden and the Arno river bridge in Italy) as observatory case studies to analyse how clients and contractors can implement the KPIs in MEAT.

Findings

The research findings demonstrate the possible inclusion of the KPIs of low-disturbance construction into the MEAT criteria. The MEAT principles can then be used in combination with either a traditional or an integrated procurement strategy.

Research limitations/implications

The implementation of MEAT to achieve low-disturbance construction projects is considerably new and still requires an empirical validation. A further elaboration of the procurement strategy within the EU regulatory framework is strongly recommended in order to assure the broader impacts of sustainable construction.

Practical implications

The findings and recommendations support the practical development and the use of MEAT in construction projects in the EU.

Originality/value

This paper presents on-going investigation within the FP7 collaborative research project “PANTURA”, which addresses the actual research agenda of the European Commission on low-disturbance and urban-friendly civil infrastructure projects.

Available. Open Access. Open Access
Article
Publication date: 2 March 2022

Mergen Kor, Ibrahim Yitmen and Sepehr Alizadehsalehi

The purpose of this paper is to investigate the potential integration of deep learning (DL) and digital twins (DT), referred to as (DDT), to facilitate Construction 4.0 through an…

8876

Abstract

Purpose

The purpose of this paper is to investigate the potential integration of deep learning (DL) and digital twins (DT), referred to as (DDT), to facilitate Construction 4.0 through an exploratory analysis.

Design/methodology/approach

A mixed approach involving qualitative and quantitative analysis was applied to collect data from global industry experts via interviews, focus groups and a questionnaire survey, with an emphasis on the practicality and interoperability of DDT with decision-support capabilities for process optimization.

Findings

Based on the analysis of results, a conceptual model of the framework has been developed. The research findings validate that DL integrated DT model facilitating Construction 4.0 will incorporate cognitive abilities to detect complex and unpredictable actions and reasoning about dynamic process optimization strategies to support decision-making.

Practical implications

The DL integrated DT model will establish an interoperable functionality and develop typologies of models described for autonomous real-time interpretation and decision-making support of complex building systems development based on cognitive capabilities of DT.

Originality/value

The research explores how the technologies work collaboratively to integrate data from different environments in real-time through the interplay of the optimization and simulation during planning and construction. The framework model is a step for the next level of DT involving process automation and control towards Construction 4.0 to be implemented for different phases of the project lifecycle (design–planning–construction).

Details

Smart and Sustainable Built Environment, vol. 12 no. 3
Type: Research Article
ISSN: 2046-6099

Keywords

1 – 3 of 3
Per page
102050