Résumé
The COVID-19 pandemic has led to a significant increase in e-commerce, which has prompted residents to shift their purchasing habits from offline to online. As a result, Smart Parcel Lockers (SPLs) have emerged as an accessible end-to-end delivery service that fits into the pandemic strategy of maintaining social distance and no-contact protocols. Although numerous studies have examined SPLs from various perspectives, few have analyzed their spatial distribution from an urban planning perspective, which could enhance the development of other disciplines in this field. To address this gap, we investigate the distribution of SPLs in Tianjin's central urban area before and after the pandemic (i.e., 2019 and 2022) using kernel density estimation, average nearest neighbor analysis, standard deviation elliptic, and geographical detector. Our results show that, in three years, the number of SPLs has increased from 51 to 479, and a majority were installed in residential communities (i.e., 92.2% in 2019, and 97.7% in 2022). We find that SPLs were distributed randomly before the pandemic, but after the pandemic, SPLs agglomerated and followed Tianjin's development pattern. We identify eight influential factors on the spatial distribution of SPLs and discuss their individual and compound effects. Our discussion highlights potential spatial distribution analysis, such as dynamic layout planning, to improve the allocation of SPLs in city planning and city logistics.
Résumé
Research on radar-based non-contact vital sign monitoring systems is critical during the COVID-19 epidemic. The accuracy of remote vital sign measurements has increased with the advancement of radar technology and various algorithms. Most studies require subjects to remain stationary, such as standing, sitting in a chair, or lying on a bed, and various measurement algorithms have been proposed. However, maintaining a stationary state as a prerequisite for measurement limits the development and application prospects of radar-based vital sign monitoring systems. Therefore, this paper presents a novel method for monitoring the vital signs of moving targets using a millimeter-wave frequency-modulated continuous-wave (FMCW) radar. The experimental results showed that regardless of whether the subjects walked at 1 m/s or with the left side of their body facing the radar, the accuracy of the heart rate measurement remained high. In the fixed-route experiments, the root mean squared error (RMSE) for heart rate estimation was 4.09 bpm, with an accuracy of 95.88%.
Résumé
To investigate the anxiety, depression, fatigue and insomnia of the entry quarantine personnel during the COVID-19 pandemic, and the influencing factors of psychological status were also explored. The Self-Rating Anxiety Scale (SAS), Self-Rating Depression Scale (SDS), Fatigue severity scale (FSS) and the Insomnia Severity Index (ISI) of 630 entry quarantine personnel were performed and the correlation analysis of the four types of scales was performed. The incidence rates of anxiety, depression, fatigue and insomnia were 4.76%, 20.00%, 48.57% and 22.86%, respectively. There was a positive correlation between the four indicators. Univariate analysis showed that age, education level, occupation, continent and reasons for going abroad were the main influencing factors of psychosomatic status. The lower the age group, the higher the education level, and the healthier the psychosomatic health of the entry quarantine personnel. The psychological status of international students was healthier than that of the staff. The psychological condition of the quarantined people in Asia was healthier than that in other continents. 630 entry quarantine personnel had different degrees of anxiety, depression, fatigue and insomnia, there was a positive correlation between them. Age, education level, occupation, continent and reasons for going abroad were the main influencing factors of psychological status. © 2022, Sociedade Brasileira de Ciencia e Tecnologia de Alimentos, SBCTA. All rights reserved.