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Sustainable Decision Support for Infrastructure Management

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".

Deadline for manuscript submissions: 20 August 2025 | Viewed by 2686

Special Issue Editors


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Guest Editor
Faculty of Civil Engineering, Architecture and Geodesy, University of Split, 21000 Split, Croatia
Interests: sustainable infrastructures; project management; operational research; decision support systems; expert systems; multi-criteria analysis; fuzzy set theory; neutrosophic set theory; bridge management system; historic bridge management system; urban heat islands; efficient energy management; e-mobility management; infrastructure management; system engineering; land management
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Faculty of Civil Engineering, Architecture and Geodesy, University of Split, Matice Hrvatske 15, 21000 Split, Croatia
Interests: decision making; decision support system; artificial intelligence; expert systems; neural networks; fuzzy logic; sustainable management; energy management planning process; land management; BMS; BIM; geodesy; geoinformation; remote sensing
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Faculty of Civil Engineering, University of Rijeka, Rijeka, Croatia
Interests: project management; decision support; decision support systems (DSS); multi-criteria decision-making (MCDM); construction management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Infrastructure Management has become one of the crucial components of modern business in the engineering industry. This topic is oriented towards various fields in infrastructure management, such as roads, railways, waste, energy distribution, green infrastructure, urban heat islands, building management systems, bridge management systems, etc. It also may include data and information management, as well as operations and networking management. It is a wide field which covers almost all engineering disciplines. To achieve more systematic and effective infrastructure management, nowadays it is often suggested to use a decision support system as a sustainable and functional approach to managing various maintenance and managing projects. This approach is adaptive, applicable, and easy to use, especially in comprehensive and long-lasting management activities.

Dr. Katarina Rogulj
Dr. Jelena Kilić Pamuković
Dr. Ivan Marović
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • infrastructure management
  • decision support system
  • energy distribution
  • roads
  • waste
  • networking
  • green infrastructures
  • BIM
  • BMS
  • land management

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Published Papers (2 papers)

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Research

19 pages, 10260 KiB  
Article
Application of a Quantitative Risk-Based Decision Tool for Local Railway Level Crossing Management
by Alessandro Di Graziano and Vincenzo Marchetta
Appl. Sci. 2024, 14(19), 8630; https://doi.org/10.3390/app14198630 - 25 Sep 2024
Viewed by 777
Abstract
Railway level crossings pose risks to both train passengers and road users, worsened by the complex interaction between rail and road traffic, particularly on local railways. This study introduces a Risk Management (RM) framework designed to enhance safety at level crossings on local [...] Read more.
Railway level crossings pose risks to both train passengers and road users, worsened by the complex interaction between rail and road traffic, particularly on local railways. This study introduces a Risk Management (RM) framework designed to enhance safety at level crossings on local railways by providing a decision-support tool. By individually assessing risk factors, the framework allows for a precise evaluation of the current risk levels in terms of both Cumulated and Individual Risk levels, Individual Risk, and the impacts of potential modifications. The framework allows the quantitative assessment of risk and resource optimization, enabling infrastructure managers to identify high-risk crossings and select the most effective safety interventions. The framework was applied to 96 level crossings on an Italian local railway line, demonstrating its ability to support decision-making for targeted interventions as well as broader network-level actions, significantly improving system safety. Full article
(This article belongs to the Special Issue Sustainable Decision Support for Infrastructure Management)
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21 pages, 1892 KiB  
Article
A Quantitative Assessment Approach to Implement Pneumatic Waste Collection System Using a New Expert Decision Matrix Related to UN SDGs
by Óscar Molina-Jorge, María-José Terrón-López and Ricardo Latorre-Dardé
Appl. Sci. 2024, 14(18), 8306; https://doi.org/10.3390/app14188306 - 14 Sep 2024
Viewed by 1039
Abstract
An innovative decision matrix has been developed to guide the selection and implementation of Pneumatic Urban Solid Waste Collection Systems (PUSWCS) in smart city projects. This study comprehensively collects and analyzes data on the advantages and disadvantages of pneumatic collection systems from technical, [...] Read more.
An innovative decision matrix has been developed to guide the selection and implementation of Pneumatic Urban Solid Waste Collection Systems (PUSWCS) in smart city projects. This study comprehensively collects and analyzes data on the advantages and disadvantages of pneumatic collection systems from technical, economic, and social perspectives. A decision-making tool was created to address the complexities of evaluating the desirability of incorporating PUSWCS in municipalities or specific areas, using a holistic approach. The tool assesses the technical, economic, and social feasibility of implementing PUSWCS, aligning it with the United Nations’ Sustainable Development Goals (SDGs). Specific variables are measured to assess compliance with the SDGs, distinguishing technical aspects from economic and social aspects. The methodology includes surveys of system users and technicians, expert assessments, and the development of a decision matrix that cross-references study variables and SDGs. The matrix assigns numerical values to the Magnitude (M) and Impact (I) of each variable, enabling quantitative interpretation. This holistic approach accommodates the complexities of waste management and diverse stakeholder perspectives. The results demonstrate the matrix’s effectiveness in accurately assessing the desirability of implementing PUSWCS. This confirms the matrix’s ability to optimally integrate with innovative smart city concepts and align with long-term sustainability goals. The study concludes that the design of the decision matrix allows the collection of information from experts, users, and stakeholders about economic, social, and environmental variables and relates them to the SDGs, to obtain a numerical result that allows to decide whether in a given urban environment it is advisable to implement a PUSWCS. Full article
(This article belongs to the Special Issue Sustainable Decision Support for Infrastructure Management)
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