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Road trauma remains a significant concern internationally. Traffic crashes rank within the top three leading causes of death for individuals aged between 15–44 years old, with nonfatal casualties occurring at around 30 times the rate of fatal incidents. Historically, road safety research has not captured factors relating to driving purpose. However, more recently, researchers have focused on the importance of driving for work. Over a third of traffic volume represents commuting or driving in the line of employment; improving workplace road safety practices represents a tangible way of reducing road trauma. This chapter considers the link between safety culture and best practice in workplace road safety. It is argued that best practice is not a term to define individual safety practices, but a system of practices that create a culture of safety. This research uses data collected on organizations workplace road safety practices within the Australian context. This data has been collected by the National Road Safety Partnership Program (NRSPP); an initiative that constitutes a network of organizations and academics working together to develop a positive road safety culture. Twenty-four case studies are presented of organizations that have implemented workplace road safety programs to improve their safe driving culture. Qualitative analysis was conducted to systematically categorize the safety initiatives and their indicators of success. Almost all case studies expressed the importance of developing a safety-first culture in the workplace. Third-party regulation, internal policy and corporate social responsibility form the foundation of workplace safety. However, it was the culture and attitude towards the safety initiatives that achieved effectiveness in the long-term. The findings of this research support the argument that best practice is best achieved when integrated within a culture that values and prioritizes safety, rather than implemented in isolation to other elements in the workplace system.

The development of communication and artificial intelligence technologies has raised interest in connectivity and increased autonomy of automated earthmoving equipment for earthwork. These changes are motivating work to reduce uncertainties, in terms of improving equipment object detection capability and reducing strikes and accidents on site. The purpose of this study is to illustrate industrial drivers for automated earthwork systems; identify the specific capabilities which make the transformation happen; and finally determine use cases that create value for the system. These three objectives act as components of a technology roadmap for automated and connected earthwork and can guide development of new products and services.

This paper used a text mining approach in which the required data was captured through a structured literature review, and then expert knowledge was used for verification of the results.

Automated and connected earthwork can enhance construction site and its embraced infrastructure, resilience by avoiding human faults during operations. Automating the monitoring process can lead to reliable anticipation of problems and facilitate real-time responses to unexpected situation via connectedness capabilities. Research findings are presented in three sections: industrial perspectives, trends and drivers for automated and connected earthwork; capabilities which are met by technologies; and use cases to demonstrate different capabilities.

This study combines the results of disintegrated and fragmented research in the area of automated and connected earthwork and categorises them under new capability levels. The identified capabilities are classified in three main categories including reliable environmental perception, single equipment decision-making toward safe outcomes and fleet-level safety enhancement. Finally, four different levels of automation are proposed for earthwork technology roadmap.

Rivigo, a new entrant in the trucking business in India, believed that a new paradigm in the trucking/logistics industry could be brought about that would not only improve the quality of service dramatically, but also upgrade a truck driver's lifestyle. While the industry faced driver shortage largely due to long stays away from home, Rivigo hoped to attract drivers by offering them roles which would bring them back home in 24 hours. Drivers would be part of a relay, handing over the truck at pit stops. Further, they leveraged an IT-enabled IoT platform on a fleet of owned trucks. All this revolutionized most of the traditions then followed in the industry. The entrepreneur and his core team comprised professionals from premium institutes of the country, with experience in professional organizations in related domains. By offering services like assured delivery at half the time and full shipment visibility, Rivigo had to charge a premium to market segments that would value this. The case raises the question of sustainability in the future.

The purpose of this study is to develop a holistic optimization model for an integrated sustainable fleet planning and closed-loop supply chain (CLSC) network design problem under uncertainty.

A novel mixed-integer programming model that is able to consider interactions between vehicle fleet planning and CLSC network design problems is first developed. Uncertainties of the product demand and return fractions of the end-of-life products are handled by a chance-constrained stochastic program. Several Pareto optimal solutions are generated for the conflicting sustainability objectives via compromise and fuzzy goal programming (FGP) approaches.

The proposed model is tested on a real-life lead/acid battery recovery system. By using the proposed model, sustainable fleet plans that provide a smaller fleet size, fewer empty vehicle repositions, minimal CO₂ emissions, maximal vehicle safety ratings and minimal injury/illness incidence rate of transport accidents are generated. Furthermore, an environmentally and socially conscious CLSC network with maximal job creation in the less developed regions, minimal lost days resulting from the work's damages during manufacturing/recycling operations and maximal collection/recovery of end-of-life products is also designed.

Unlike the classical network design models, vehicle fleet planning decisions such as fleet sizing/composition, fleet assignment, vehicle inventory control, empty repositioning, etc. are also considered while designing a sustainable CLSC network. In addition to sustainability indicators in the network design, sustainability factors in fleet management are also handled. To the best of the authors' knowledge, there is no similar paper in the literature that proposes such a holistic optimization model for integrated sustainable fleet planning and CLSC network design.

Driving for work has been identified as potentially one of the riskiest activities performed by workers within the course of their working day. Jurisdictions around the world have passed legislation and adopted policy and procedures to improve the safety of workers. However, particularly within the work driving setting, complying with legislation and the minimum safety standards and procedures is not sufficient to improve work driving safety. This chapter outlines the manner in which safety citizenship behavior can offer further improvement to work-related driving safety by acting as a complementary paradigm to improve risk management and current models and applications of safety culture.

Research on concepts associated with risk management and theoretical frameworks associated with safety culture and safety citizenship behavior are reviewed, along with their practical application within the work driving safety setting. A model incorporating safety citizenship behavior as a complementary paradigm to safety culture is proposed. It is suggested that this model provides a theoretical framework to inform future research directions aimed at improving safety within the work driving setting.

Economic and market conditions have resulted in the use of commercial jet transport airplanes well beyond their design service objective (DSO). Air transport industry consensus is that older jet transport airplanes will continue to be in service despite an anticipated substantial increase in the required maintenance. Based on economical considerations, established operators may replace their airplanes beyond DSO with new ones. At the same time these older airplanes are sold to operators with little or no knowledge and experience of the aging airplane maintenance programs. Discusses the damage tolerance concept, its relation to airplane age and its evolution that is fail‐safe to damage tolerance based maintenance certification for jet transport airplanes. Also, this paper will discuss a process for upgrading structural inspection programs for older airplanes to damage tolerance standard per MSG‐3 Rev. 2 analysis. Finally, sub‐surface corrosion on principal airplane structures and its effect on airplane safety will be discussed.

Proposes the establishment of a management information system (MIS) for the promotion of safety in shipping. Considers the information technology in shipping to be the combination of satellite systems and computers onboard and ashore. In this combination, which enables the provision of an optimum selection and management of data for automatic or human decision making, the role of satcoms is information transfer and that of computers is information processing. Acknowledges the importance of the human factor in shipping safety. Human decisions affecting shipping safety often depend on the quantity and quality of the available information. In the proposed MIS the need to improve the limited ability of humans to receive, store, process and interpret information, which is usually vast and complex, is acknowledged and fulfilled. Among the available maritime satcom systems and computer services, the proposal reveals those services which satisfy the criteria of useful, interactive, flexible, fast, reliable and low‐cost transfer and management of information in support of safety‐oriented decision making in shipping operations. The proposed MIS integrates the information resources of shipping office(s), the ship(s) and the maritime‐related industry as a whole and provides the shipping company with the capability to document, monitor and control the safety‐critical aspect of “technical reliability” towards promotion of safety in shipping and compliance with the International Safety Management Code.

Economies of scale drive container ship owners towards ordering larger vessels. Terminals need to ensure a safe (un)loading operation of these vessels, which can only be guaranteed if the mooring equipment is not overloaded (lines, fenders and bollards) and if the motions of the vessel remain below set limits, under external forces. This paper aims to focus on the passing vessel effect as a potential disturbing factor in the Port of Antwerp.

Motion criteria for allowing safe (un)loading of container vessels are established by considering the container handling process and existing international standards (PIANC). A case study simulation is presented where the behaviour of the moored vessel under ship passages is evaluated. Starting from a representative event, the effect of changes in passing speed and distance is discussed.

The study illustrates the influence of passing velocity and distance on the behaviour of the moored vessel, showing that when passing speeds are higher and/or distances lower than the reference event, safety limits are potentially exceeded. Possible mitigating measures, including the use of stiffer mooring lines and/or a change in arrangement, are discussed.

This paper serves as a basis for future research on safety criteria and optimisation of the mooring equipment and configuration to deal with passing vessel effects.

The presented results can be used by ship and terminal designers to gain familiarity with passing vessel effects and adopt suggested best practice.

By restricting the motions of the passing vessels, the focus and general well-being of the crane operator is enhanced, as is the safety of workers.

The paper provides a unique combination of container fleet observation, safety criteria establishment and case study application.

The purpose of this paper is to define conditions under which improved availability of fleet of G-4 jet trainers is obtained, and optimization of intermediate-level maintenance through imperfect maintenance model application. This research has been conducted based on available knowledge, and experience gained by performing intermediate-level maintenance of Serbian Air Force aircrafts.

Analysis of the data collected from daily maintenance reports, and the analysis of maintenance technology and organization, was performed. Based on research results, a reliability study was performed. Implementation of imperfect maintenance with its models of maintenance policies (especially a quasi-renewal process and its treating of reliability and optimal maintenance) was proposed to define new maintenance parameters so that the greater level of availability could be achieved.

The proposed methodology can potentially be applied as a simple tool to estimate the present maintenance parameters and to quickly point out some deficiencies in the analyzed maintenance organization. Validation of this process was done by conducting a reliability case study of G-4 jet trainer fleet, and numerical computations of optimal maintenance policy.

The methodology of the availability estimation when reliability parameters were not tracked by the maintenance organization, and optimization of intermediate-level maintenance, has so far been applied on G-4 jet trainers. Moreover, it can be potentially applied to other aircraft types.

Availability estimation and proposed optimization of intermediate maintenance is based on a survey of data for three years of aircraft fleet maintenance. It enables greater operational readiness (due to a military rationale) with possible cost reduction as a consequence but not as a goal.