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Quantitative study on the environmental impact of Beijing’s urban rail transit based on carbon emission reduction
Abstract Urban rail transit, as an efficient and eco-friendly mode of transportation, plays a pivotal role in mitigating traffic congestion and lowering urban carbon emissions. Despite the significant contributions by scholars in this area, debates surrounding the quantification of carbon emissions during the operational phase of urban rail transit persist, particularly in assessing its impact on reducing ground traffic congestion. This study examines the passenger flow during Beijing’s morning and evening peak hours, assuming that all passengers initially using urban rail transit switch to buses and taxis during these periods. A traffic congestion prediction model is developed based on the analysis of actual traffic operation data under this assumption. Through this model, the study calculates the potential congestion times across various scenarios, employing a bottom-up approach to carbon emission estimation to analyze the impact on carbon emissions. Results spanning 2015 to 2021 suggest that substituting urban rail transit with buses could increase congestion by 37–92 min and 46–59 min during morning and evening peaks, respectively, leading to a 24-82% and 27-56% surge in carbon emissions. The conversion of all these vehicles to taxis would result in a direct paralysis of Beijing’s road transport network, with a corresponding increase in carbon emissions of between 289% and 556% and 333% and 614%, respectively.These outcomes emphasize the substantial efficacy of urban rail transit in curbing traffic congestion and carbon emissions.
Optimizing survey conditions for Burmese python detection and removal using community science data
Comparing the effects of Mycozin and Clotrimazole 1% creams on vaginal candidiasis: a triple-blinded randomized controlled trial
Regional consensus of switched positive multi-agent systems with multiple equilibria
Peripheral tryptophan-kynurenine pathway dysfunction in first-episode schizophrenia
A small underwater object detection model with enhanced feature extraction and fusion
Neurobehavioral plasticity in the rodent gustatory system induced by regular consumption of a low-calorie sweetener during adolescence
The nonlinear association between body roundness index and infertility in married women
Hypoxia and lipid metabolism related genes drive proliferation migration and immune infiltration mechanisms in colorectal cancer subtyping
Knockdown-resistant mutations in head lice (Pediculus humanus capitis) collected from schoolchildren in Riyadh, Saudi Arabia
Gene metabolite relationships revealed metabolic adaptations of rice salt tolerance
Translation and validation of the meat attachment questionnaire (MAQ) in a French general practice population
Abstract Meat consumption has significant implications for both individual health and the environment. Understanding individuals’ attachment to meat is crucial for designing effective interventions to reduce consumption. The MAQ is a tool developed to assess individuals’ attachment to meat. This study aims to translate and validate the MAQ into French for use in a general practice population in France. The study was conducted in three phases: translation, pretesting through cognitive interviews, and testing through a cross-sectional study of general practice patients. Descriptive, factorial, and internal consistency analyses were performed to validate the French version of the MAQ. The French version of the MAQ consists of 17 items in four dimensions: Hedonism, Affinity, Entitlement, and Dependence. Face validity was confirmed by cognitive interviews. The RMSEA and CFI were 0.06 and 0.92 respectively, showing acceptable goodness-of-fit. Internal consistency was demonstrated with Cronbach’s alpha and Loevinger’s H coefficients exceeding 0.7 and 0.3, respectively. The French version of the MAQ is a valid and reliable tool for assessing individuals’ attachment to meat in a general practice population. Its application shows promise for the design of targeted interventions to reduce meat consumption, benefiting both individual health and environmental sustainability.
Excavating trajectory planning of electric shovel based on dynamic excavating volume prediction
Change in exacerbation rate of COPD patients before and after COVID-19 infection
Improved printed circuit board defect detection scheme
A comparative analysis on the research competency of medical students across the COVID-19 periods
On quasi-integrable deformation scheme of the KdV system
Association of chronic stress during studies with depressive symptoms 10 years later
Abstract The long-tern implications of stress during university for individuals’ mental health are not well understood so far. Hence, we aimed to examine the potential effect of stress while studying at university on depression in later life. We analysed data from two waves of the longitudinal Study on Occupational Allergy Risks. Using the ‘work overload’ and ‘proving oneself’ scales of the Trier Inventory for Chronic Stress and the Patient Health Questionnaire-2 (PHQ-2), participants reported chronic stress during university (2007–2009, mean age 22.2 years, T1) and depressive symptoms ten years later (2017–2018, mean age 31.6 years, T2). We performed linear regression analyses to explore the association between stress during university (T1) and later depressive symptoms (T2). Participants (N = 548, 59% female) indicated rather low levels of stress and depression (PHQ-2 mean score: 1.14 (range: 0–6)). We observed evidence for a linear association between overload at T1 and depression at T2 (regression coefficient (B) = 0.270; 95% confidence interval (CI) = 0.131 to 0.409; standardised regression coefficient (β) = 0.170). Our analyses yielded evidence for an association between chronic stress while studying and risk of depressive symptoms later in life. This finding underlines the importance of implementing sustainable preventive measures against stress among students.