‘A philosophy of change’: Emotions,civil society and global development

Dominant paradigms of global development have historically been devoid of emotions, connected with racialized and gendered ideas of rationality and civility. Within contemporary scholarship there is however increasing recognition of the importance of emotions for understanding development processes. This paper adds to this body of work by exploring the ways that emotions shape how people who are trying to ‘do’ development actually do it. Drawing on empirical material from conversations with civil society activists based on the Caribbean islands of Grenada and Barbados, this article explores some of the emotions that are present within civil society organizing and makes the case that in this context emotions are not just felt, they are generative of civil society organizing and wider development processes. Focusing on shame, the article demonstrates how emotions are produced relationally within civil society organizing, how emotions are generative and can co-construct spaces for civil society and how civic organizing can act as counter-expressions to these feelings. Emotions are then constitutive of global development, yet often neglected in dominant discourses of civil society within the development sphere, with professional subjectivities dominant.     

Singing together in the park: Older peoples’ wellbeing and the singingscape in Guangzhou,China

The importance of adapting to later life is becoming increasingly apparent to older people as their concerns about health and wellbeing grow. Based on extensive fieldwork between 2020 and 2021 in Guangzhou, China, with older people who consider “singing together in the park” as an essential and popular everyday leisure activity, this article demonstrates how subject (older people), activity (singing), and place (park) integrate into a therapeutic space, the singingscape. Singingscape is presented in three distinct aspects: on the physical level, singingscape indicates an essential embodied experience of the connection between internal body and external environment, from which the older people can relax physically and mentally and acquire a sense of wellbeing; on the social level, singingscape fosters a positive atmosphere, where older people gain a collective sense of belonging and maintain social rhythm and social interactions with their peers; and on the imagined space level, fanciful landscapes and emotional imagination are advantageous to the wellbeing of older people. In the conceptual sense we argue that singingscape is located, experienced and integrated. Lastly, we advocate that attention should be paid to the construction of urban public spaces as vital infrastructure for older people in their everyday leisure activities.     

COVID-19 and Its Lockdown in Belgium: How Limited Access to Environmental Satisfaction Impacts Emotions?

The COVID-19 pandemic has been shown to induce several psychological consequences (e.g., increases in anxiety and stress). Accordingly, it seems relevant to investigate how individuals cope with their emotions. Indeed, when facing negative emotions, individuals need to rely on adaptive emotion regulation strategies to alleviate their negative impacts (e.g., decrease in quality of life, increase in sleep disturbances). Moreover, lockdown’s measures led to a restriction of the access to activities which, in turn, might have decreased the “environmental satisfaction”. Then, this research investigates the pandemic’s psychological impacts on emotions and regulation strategies, intolerance of uncertainty, and environmental satisfaction. Our approach’s originality relies on comparing one’s actual psychological functioning (i.e., since the pandemic) to one’s general psychological functioning (i.e., before the pandemic). This study also assesses the relationships between both negative and positive emotions and (1) emotion regulation strategies, (2) intolerance of uncertainty and, (3) environmental satisfaction since the pandemic and its lockdown. The total sample comprised 948 adults from the general population. Results show that, since the pandemic, individuals experience higher levels of negative emotions, lower levels of positive emotions and environmental satisfaction. They also tend to worry less and to resort to acceptance more often. Also, environmental satisfaction is the most important predictor of both negative emotions and positive ones. Overall, findings confirm previous ones and seem to indicate that environmental satisfaction should be addressed more thoroughly.     

How is the visual working memory load of driver influenced by information density of traffic signs?

The rapid development of urban roads has resulted in an increase in the amount of information that needs to be displayed on traffic signs. The overloading of information on traffic signs may increase drivers’ visual cognition burden and cause driving errors. It could be an important factor affecting driving safety and result in accidents. To enable drivers to cognize traffic signs, the information density that they could endure under reasonable workload levels should be determined. In this study, we designed and implemented trials to analyze drivers’ visual working memory load (VWML) caused by different information densities (including stimulus intensity (SI) and interval time of stimulus (IS)) of traffic signs. Twenty-four paid participants (12 females) with a mean age of 23.38 years (SD = 1.38) participated in laboratory simulation trials based on the memory retrieval approach. Subjective ratings (rating scale mental effort (RSME)), and performance measurement based on reaction time and accuracy of information-matching task were measured to reflect drivers’ VWML at different information densities. The results show that information density is an important factor affecting drivers’ VWML. The following are the significant observations of the study: (1) The subjective ratings on mental effort increased with increase in the SI. Meanwhile, it first decreased and then increased with increase in the IS. (2) The response accuracy results show that a high accuracy (≥0.7) was achieved by drivers in an IS of 15 s when the SI was at most 14.16 bit/m². Correspondingly, the drivers underwent less mental workload as a result of their better short-term memory characteristic. (3) The mean reaction time was over 1800 ms when the SI was over 14.16 bit/m². This indicated a reduction in the information-processing capability of the drivers. The results indicate that cognition of information of unreasonable density on traffic signs would increase drivers’ VWML. This would, in turn, result in an increase in their reaction time and decrease in accuracy. The threshold of information density was also determined through the experiment. It would satisfy the information demand of drivers and prevent information redundancy. The results contribute to an understanding of drivers’ VWML while cognizing traffic signs with different information densities and provide safety, effectiveness, and information continuity considerations for the design and setting of traffic signs.     

Hazard-based duration approach for understanding pedestrian crossing risk exposure at signalised intersection crosswalks – A case study of Kolkata,India

Pedestrian signal violation is a significant concern among policymakers and traffic engineers as this leads to a pedestrian-vehicle crash. The waiting time for a pedestrian at intersections is crucial in street-crossing decision-making. Once pedestrians terminate their waiting behaviour during the red-light period, they would cross in the red light and put themselves in danger. A total of 2089 red-light arriving pedestrian observations were made at eight intersection crosswalks across Kolkata city (India). With the help of hazard-based duration models, the waiting duration till signal violation has been analysed. Kaplan–Meier curve has been plotted to understand the survival probabilities. A semi-parametric Cox Proportional Hazard model was used to understand the different factors influencing signal violation behaviour. However, the proportional hazard assumption was not satisfied. Therefore, a parametric Accelerated Failure Time (AFT) model was used to understand the various covariates that affect the waiting duration. The results highlighted that 49.5% of pedestrians crossed immediately after arriving at the intersection in the red-light phase. A pedestrian’s probability of crossing the road when it is unsafe, i.e., motor vehicles still have green or yellow, varies with the waiting time. As waiting time increases, pedestrians get impatient and violate the traffic signal. This violation places them at an increased risk of being struck by a motor vehicle. The covariate analysis using the AFT model showed that pedestrian glance/looking behaviour, different types of distractions, signal cycle length, carrying luggage, and traffic plying on the road impacted signal violation behaviour. Signal modifications by reducing red-light phase length for pedestrians might be the most efficient means of reducing the likelihood of signal violation and being hit by a motor vehicle.     

A data–information–knowledge cycle for modeling driving behavior

When talking about automation, “autonomous vehicles”, often abbreviated as AVs, come to mind. In transitioning from the “driver” mode to the different automation levels, there is an inevitable need for modeling driving behavior. This often happens through data collection from experiments and studies, but also information extraction, a key step in behavioral modeling. Particularly, naturalistic driving studies and field operational trials are used to collect meaningful data on drivers’ interactions in real–world conditions. On the other hand, information extraction methods allow to predict or mimic driving behavior, by using a set of statistical learning methods. In simple words, the way to understand drivers’ needs and wants in the era of automation can be represented in a data–information cycle, starting from data collection, and ending with information extraction. To develop this cycle, this research reviews studies with keywords “data collection”, “information extraction”, “AVs”, while keeping the focus on driving behavior. The resulting review led to a screening of about 161 papers, out of which about 30 were selected for a detailed analysis. The analysis included an investigation of the methods and equipment used for data collection, the features collected, the size and frequency of the data along with the main problems associated with the different sensory equipment; the studies also looked at the models used to extract information, including various statistical techniques used in AV studies. This paved the way to the development of a framework for data analytics and fusion, allowing the use of highly heterogeneous data to reach the defined objectives; for this paper, the example of impacts of AVs on a network level and AV acceptance is given. The authors suggest that such a framework could be extended and transferred across the various transportation sectors.     

Autonomie en transition de carrière. Développement d’un modèle et validation d’une échelle originale

IntroductionBased on the observation that autonomy is a fundamental concept in a world of work characterized by many transitions, this paper presents the construction and validation of a model and a scale of autonomy in career transitions.ObjectiveThe scale was developed to measure autonomy during adult career transitions.MethodA series of items was first produced following interviews with experts and employees. Three successive surveys involving 336, 314 and 450 participants made it possible, through item analysis and factor analysis, to reduce the number of items and to build a model composed of 14 items and 4 oblique factors.ResultsAfter confirmatory factor analysis, the data fit the model well and a study of external validity shows strong convergences with other measures of autonomy.ConclusionThe model and the measure of autonomy in career transition can be of great help in supporting employees. It makes it possible to identify the people who are most in difficulty and offers benchmarks to support and train organizations to modulate career paths and strengthen the acquisition of certain resources.