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Freight and logistics are central to everyday life. These sectors depend on a variety of workers, and the types of work have changed rapidly with shifts towards e-commerce and changes to urban logistics. Yet a particular form of masculinity dominates imaginaries of the sector, especially freight transport. Such imaginaries rest on ideas of freight drivers requiring (physical) strength, toughness, flexibility, mobility and driving competencies, as well as being unencumbered by caring responsibilities. In the UK, and elsewhere, the freight sector, and particularly driving-related freight jobs, are heavily reliant on male workers. The freight driver shortage crisis in the UK has been referred to as a ‘ticking timebomb’, emerging from a reliance on white male workers, the majority of whom are over the age of 50. A ‘diversifying’ agenda has been the primary response to this crisis, which has largely focussed on increasing the number of female drivers. At the same time, however, little has been done to address issues associated with pay and conditions for freight workers. In this chapter, the authors examine gendered freight work across three themes: changing mobilities of work, ‘flexibilisation’ of freight working practice and automation of freight vehicles.

Given the increasing volatility, uncertainty, complexity, and ambiguity, egalitarian ecosystems may play an important role to establish equality among various stakeholders. With this idea, the study aimed to understand conflicts and challenges in creating an egalitarian ecosystem in the application-based cab aggregator (ABCA) market.

Narratives of various stakeholders involved in the ABCA business were collected. The study involved narrations from direct and indirect stakeholders up to saturation till common themes were found. Grounded theory methodology using constant comparison was explored to interpret the results. After the results were obtained, root cause analysis was undertaken using the why–why methodology to understand ground-level reality.

In total, 13 major issues were identified using grounded theory for narrative analysis that cab aggregator companies, driver-partners, and riders faced. The stakeholders' inability in the ecosystem to see each other's problems could be accorded to their self-interest, rational boundedness and asymmetric information. These findings collude with Banaji et al. (2004) and Chugh et al. (2005).

This study explained each stakeholder's perspectives about their counterparts that influence non-egalitarianism. The study further suggested possible areas for solving the issues and promoting cooperation.

The purpose of this paper is to present issues related to the design of a modern lighting system based on LED technology. The developed system provides lighting with a high colour rendering index (up to 98); it also has many innovative functions, which make its implementation bring significant energy savings and increase the comfort of work.

In contrast to typical solutions, the dynamic synthesis of white light from six component colours was used in the presented project. This process is controlled by a microcontroller, and there is a colour temperature sensor in the feedback loop. The communication between smart luminaires and sensor modules is provided by means of a ZigBee wireless network.

The correctness of the proposed methodology has been proved by measurements and laboratory tests.

The process of improving the lighting system is continued and significant changes in the spectrum of used sensors are expected.

The proposed system based on mixing light from six components is an innovative solution that besides undoubted advantages entails a more elaborate electronic circuitry. However, good characteristics of the obtained light, as well as the possibility of compensating for changes in colour temperature of natural light and reducing the impact of aging of LEDs, in the authors’ opinion, make the proposed solution find its place on the market.

The proposed solution is original, both in terms of the light mixing technique and advanced functionality offered by the system.

The lead engine on the Boeing 757 aircraft is the Rolls‐Royce RB211‐535. The transient operation of this engine is largely dependent on the operation of its multiple bleed valves which are located at several different stages of the Intermediate and High Pressure Compressor spools.

Purpose: This chapter synthesises a variety of findings on the topic of aggressive driving and delivers a suite of strategies for moderating such behaviours. Examples and formal definitions of aggressive driving acts are given, along with specific techniques for reducing excessive speed and other aggressive behaviours.

Methodology: Key references from the literature are summarised and discussed, and two examples detailing how multi-parameter distributions and models compare with the negative binomial distribution and model are presented.

Findings: Speeding is the most common type of aggressive driving, and speeding-related crashes represent a high share of traffic deaths. Speeding relates to many factors, including public attitudes, personal behaviours, vehicle performance capabilities, roadway design attributes, laws and policies. Anonymity, while encased in a vehicle, and driver frustration, due to roadway congestion or other issues, contribute to aggressive driving.

Research implications: More observational data are needed to quantify the effects of the contributing factors on aggressive driving.

Practical implications: Driver frustration, intoxication and stress can lead to serious crashes and other traffic problems. They can be addressed, to some extent, through practical enforcement, design decisions and education campaigns.

This research aims to examine the stressors that professional truck drivers experience and the impact these stressors may have on road safety.

Both quantitative and qualitative data gathered from 435 professional drivers measured attitudes and behaviors related to safety and compliance. Interviews with professional truck drivers provided an assessment of the stressors that they experience. The insights offered from these individuals were then integrated into a conceptual model. The model was tested via data collected through surveys administered to drivers using structural equation modeling.

Results from the interviews, as well as the results from the survey administered to professional drivers, suggest that truck drivers experience severe time pressures. Such time pressures create stress which can lead to physical fatigue and emotional exhaustion. Further, both of these debilitating conditions are related to negative attitudes about safety compliance and the current CSA regulation. Additionally, negative attitudes about safety compliance standards are positively related to violation of hours of service regulations.

Findings call into question the effectiveness of the new regulation with regard to commercial transportation as well as possibly suggesting that drivers of automobiles might play a role in helping to ameliorate vehicular crash rates.

This paper aims to (1) identify the different performance drivers (lead indicators) and outcome measures (lag indicators) investigated in the literature concerning the four balanced scorecard (BSC) perspectives in operations management (OM) contexts and (2) understand how performance drivers and outcome measures (and substantiated perspectives) are related.

We undertake a systematic literature review of the BSC literature in OM journals. From the final sample of 40 articles, performance drivers and outcome measures have been identified, and the relationships amongst them have been synthesised according to the system dynamics approach.

Findings show (1) the most relevant performance drivers and outcome measures within each BSC perspective, (2) their relationships, (3) how the perspectives are linked through the performance drivers and outcome measures and (4) how the different measures relate systemically. Accordingly, four causal loops amongst identified measures have been built, which – jointly considered – allowed for the creation of a dynamic strategy map for OM.

This study is the first one that provides a comprehensive and holistic view of how the different performance drivers and outcome measures within and between the four BSC perspectives in OM relate systemically, increasing the knowledge and understanding of scholars and practitioners.

The anticipated benefits of connected and autonomous vehicles (CAVs) include safety and mobility enhancement. Small headways between successive vehicles, on one hand, can cause increased capacity and throughput and thereby improve overall mobility. On the other hand, small headways can cause vehicle occupant discomfort and unsafety. Therefore, in a CAV environment, it is important to determine appropriate headways that offer a good balance between mobility and user safety/comfort.

In addressing this research question, this study carried out a pilot experiment using a driving simulator equipped with a Level-3 automated driving system, to measure the threshold headways. The Method of Constant Stimuli (MCS) procedure was modified to enable the estimation of two comfort thresholds. The participants (drivers) were placed in three categories (“Cautious,” “Neutral” and “Confident”) and 250 driving tests were carried out for each category. Probit analysis was then used to estimate the threshold headways that differentiate drivers' discomfort and their intention to re-engage the driving tasks.

The results indicate that “Cautious” drivers tend to be more sensitive to the decrease in headways, and therefore exhibit greater propensity to deactivate the automated driving mode under a longer headway relative to other driver groups. Also, there seems to exist no driver discomfort when the CAV maintains headway up to 5%–9% shorter than the headways they typically adopt. Further reduction in headways tends to cause discomfort to drivers and trigger take over control maneuver.

In future studies, the number of observations could be increased further.

The study findings can help guide specification of user-friendly headways specified in the algorithms used for CAV control, by vehicle manufacturers and technology companies. By measuring and learning from a human driver's perception, AV manufacturers can produce personalized AVs to suit the user's preferences regarding headway. Also, the identified headway thresholds could be applied by practitioners and researchers to update highway lane capacities and passenger-car-equivalents in the autonomous mobility era.

The study represents a pioneering effort and preliminary pilot driving simulator experiment to assess the tradeoffs between comfortable headways versus mobility-enhancing headways in an automated driving environment.