Next Article in Journal
Game Theoretical Energy Management with Storage Capacity Optimization and Photo-Voltaic Cell Generated Power Forecasting in Micro Grid
Next Article in Special Issue
Analysing Stakeholder Consensus for a Sustainable Transport Development Decision by the Fuzzy AHP and Interval AHP
Previous Article in Journal
Integrating Communication with Conspicuity to Enhance Vulnerable Road User Safety: ArroWhere Case Study
Previous Article in Special Issue
A Collaborative Stakeholder Decision-Making Approach for Sustainable Urban Logistics
Article

Decision Support Systems for Smarter and Sustainable Logistics of Construction Sites

Luxembourg Institute of Science and Technology (LIST), 5 Av. des Hauts-Fourneaux, L-4362 Esch/Alzette, Luxembourg
*
Author to whom correspondence should be addressed.
Sustainability 2019, 11(10), 2762; https://doi.org/10.3390/su11102762
Received: 31 March 2019 / Revised: 26 April 2019 / Accepted: 27 April 2019 / Published: 14 May 2019
Efficient logistics in urban areas is crucial for construction companies since building materials account for 30–40% of all construction costs and the space on site is highly constrained. To face these challenges, actions coming from both public and private decision-makers to find more sustainable solutions related to the distribution of building materials in urban areas become urgent. Although barely used in such contexts, can decision support systems be of support, and for who and for which purpose? This paper proposes a set of decision support systems addressing public and private decision-makers to improve the construction logistics and supply chain with evidence-based decision-making mechanisms. Those systems are, in particular, a public participatory geographical information system for determining the impact of policy measures, a consolidation center locator, a consolidation center planner, and an innovation measures selector. The paper explains how these decision support systems are settled and experimented from the analysis of pilot sites in European cities and in collaboration with the companies. Our diverse experiments demonstrate that data-driven decision-making is worth it to trigger thought on improvement measures for construction freight transport in urban area. We conclude that additional attention should be devoted to this specific sector. View Full-Text
Keywords: city logistics; construction logistics; decision support system city logistics; construction logistics; decision support system
Show Figures

Figure 1

MDPI and ACS Style

Guerlain, C.; Renault, S.; Ferrero, F.; Faye, S. Decision Support Systems for Smarter and Sustainable Logistics of Construction Sites. Sustainability 2019, 11, 2762. https://doi.org/10.3390/su11102762

AMA Style

Guerlain C, Renault S, Ferrero F, Faye S. Decision Support Systems for Smarter and Sustainable Logistics of Construction Sites. Sustainability. 2019; 11(10):2762. https://doi.org/10.3390/su11102762

Chicago/Turabian Style

Guerlain, Cindy, Samuel Renault, Francesco Ferrero, and Sébastien Faye. 2019. "Decision Support Systems for Smarter and Sustainable Logistics of Construction Sites" Sustainability 11, no. 10: 2762. https://doi.org/10.3390/su11102762

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop