Abstract:Existing research suggests that students are an under-reported and undersupported group of the population that frequently lives in fuel poverty. Furthermore, studies show that students do not realize that they live in fuel poor conditions and are rarely recognized as a group vulnerable to fuel poverty. The aim of the research presented in this paper is to understand, evaluate and consequently reveal the experiences of students living in the private-rentedd sector, quantify their possible exposure to fuel pover… Show more
“…Previous studies that have focused on young people's energy consumption have looked at energy and at information and communication technologies among youths (Christensen et al 2014;Christensen and Rommes 2019); students living in fuel poverty (Kousis et al 2020;Morris and Genovese 2018); and energy vulnerability (Bouzarovski et al 2013). Scholars have found that students and young people are rarely recognized as a group vulnerable to energy poverty, and many students and young people do not recognize that they live in energy-poor conditions (Bouzarovski et al 2013;Kousis et al 2020). Energy poverty is broadly understood as the inability of households to maintain adequate levels of energy services at an affordable cost, and is caused by the interplay of low incomes, high energy need, and high energy prices (Doukas and Marinakis 2020).…”
The article provides a widened understanding of the concept of end-user flexibility and nuances the traditional individual-oriented approach often used in discussions on low carbon transitions. The authors draw on 75 narratives from of a group of end users that is often considered to be in a very flexible stage of life, namely students. They discuss the co-production of systems connected to material, structural and social factors that extend beyond individual willingness to be a flexible energy consumer. The article stresses that flexibility is shaped by living conditions, everyday life and social norms in particular ways that makes it hard to achieve for students and others living in shared households. The authors conclude that political incentives for low-carbon transitions typically exclude social groups such as students and other vulnerable groups in society, and hence may unintentionally create and reinforce what they term 'flexibility poverty'.
“…Previous studies that have focused on young people's energy consumption have looked at energy and at information and communication technologies among youths (Christensen et al 2014;Christensen and Rommes 2019); students living in fuel poverty (Kousis et al 2020;Morris and Genovese 2018); and energy vulnerability (Bouzarovski et al 2013). Scholars have found that students and young people are rarely recognized as a group vulnerable to energy poverty, and many students and young people do not recognize that they live in energy-poor conditions (Bouzarovski et al 2013;Kousis et al 2020). Energy poverty is broadly understood as the inability of households to maintain adequate levels of energy services at an affordable cost, and is caused by the interplay of low incomes, high energy need, and high energy prices (Doukas and Marinakis 2020).…”
The article provides a widened understanding of the concept of end-user flexibility and nuances the traditional individual-oriented approach often used in discussions on low carbon transitions. The authors draw on 75 narratives from of a group of end users that is often considered to be in a very flexible stage of life, namely students. They discuss the co-production of systems connected to material, structural and social factors that extend beyond individual willingness to be a flexible energy consumer. The article stresses that flexibility is shaped by living conditions, everyday life and social norms in particular ways that makes it hard to achieve for students and others living in shared households. The authors conclude that political incentives for low-carbon transitions typically exclude social groups such as students and other vulnerable groups in society, and hence may unintentionally create and reinforce what they term 'flexibility poverty'.
“…Studies exploring energy poverty among tertiary student population groups in England [19][20][21], Europe [22,23], and Japan [24] have confirmed that tertiary students are at greater risk compared to the general population. Poor housing conditions, particularly in the private rental sector, contribute to adverse mental and health outcomes among tertiary students [19,22].…”
Section: Introductionmentioning
confidence: 99%
“…Studies exploring energy poverty among tertiary student population groups in England [19][20][21], Europe [22,23], and Japan [24] have confirmed that tertiary students are at greater risk compared to the general population. Poor housing conditions, particularly in the private rental sector, contribute to adverse mental and health outcomes among tertiary students [19,22]. As with other studies of private rental sector landlords [16,25,26], a qualitative study of landlords in seven EU countries found that landlords with properties predominantly leased by students are unlikely to make energy efficiency improvements to their rental housing without financial incentives and regulatory measures.…”
Energy poverty in Aotearoa New Zealand is well-documented, and tertiary students have been identified as an at-risk group. However, there has been very little research on tertiary students’ experiences of energy poverty in New Zealand. This paper used a nationwide online survey to investigate the extent and impact of energy poverty among tertiary students. Furthermore, it aimed to identify disparities between different demographic groups, understand the effects of COVID-19 and evaluate the effectiveness of the support policies available to students. Responses from 522 students were analysed; 85% were under 30 years old, 72% were female, 14% identified as Māori, and 14% reported having long-term disabilities or health concerns. The findings of this study are concerning. Tertiary students in New Zealand are largely living in dwelling conditions that do not meet recommended health standards and exacerbate energy poverty. Energy poverty has adverse effects on their physical and mental health; however, available support is limited or inaccessible. Most significantly, the impact of energy poverty is disproportionally affecting students with long-term disabilities or health concerns as well as students identifying as Māori. Moreover, the impact of COVID-19 further strained students experiencing energy poverty and again, disproportionally affected more vulnerable students.
“…UHI is a significant human-induced environmental change that poses threats to human life. For instance, increased morbidity and mortality 12 , indoor/outdoor discomfort 13 , air pollution 14 , 15 , increased energy consumption 16 and greenhouse gas emissions 17 , 18 , impaired air and water quality 19 and intensification of energy poverty on vulnerable social groups during the hot months of the year 20 , 21 are just some of UHI consequences that usually are interconnected. Also, UHI is associated with global warming and moreover has been found to synergistically act with heatwaves and amplify their impacts 22 – 24 .…”
Monitoring microclimate variables within cities with high accuracy is an ongoing challenge for a better urban resilience to climate change. Assessing the intra-urban characteristics of a city is of vital importance for ensuring fine living standards for citizens. Here, a novel mobile microclimate station is applied for monitoring the main microclimatic variables regulating urban and intra-urban environment, as well as directionally monitoring shortwave radiation and illuminance and hence systematically map for the first time the effect of urban surfaces and anthropogenic heat. We performed day-time and night-time monitoring campaigns within a historical city in Italy, characterized by substantial urban structure differentiations. We found significant intra-urban variations concerning variables such as air temperature and shortwave radiation. Moreover, the proposed experimental framework may capture, for the very first time, significant directional variations with respect to shortwave radiation and illuminance across the city at microclimate scale. The presented mobile station represents therefore the key missing piece for exhaustively identifying urban environmental quality, anthropogenic actions, and data driven modelling toward risk and resilience planning. It can be therefore used in combination with satellite data, stable weather station or other mobile stations, e.g. wearable sensing techniques, through a citizens’ science approach in smart, livable, and sustainable cities in the near future.
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