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Impact of weather-influenced urban mobility on carbon footprint of Spanish healthcare centres
Journal of Transport & Health ( IF 3.2 ) Pub Date : 2021-01-30 , DOI: 10.1016/j.jth.2021.101017
G. Sánchez-Barroso , J. González-Domínguez , J. García-Sanz-Calcedo , M. Sokol

Introduction

Weather conditions influence urban mobility and alter greenhouse gas emissions. The aim of this paper is to analyse the impact of carbon footprint derived from the use of private vehicles in Extremadura (Spain), focusing on weather-influenced transport to rural healthcare centres. This new understanding will help to improve predictions of the impact of anthropogenic emissions.

Methods

A retrospective research method was proposed to analyse the surveys carried out between April-2019 and March-2020 in three healthcare centres where the number of users are ranged from 5376 to 11,980. A total of 22,541 patients were interviewed about the vehicle utilised to receive health assistance. Furthermore, average temperature, mean relative humidity and quantity of rain were collected to examine the correlation with CO2 emissions from transport.

Results

Mathematical expressions are proposed to estimate the daily CO2 emissions per user as a function of both temperature and relative humidity. The variation rate in the amount of emissions with respect to weather conditions is quantified. Emissions significantly decreased by 25% due to an increase of transport on foot at temperatures above 20 °C and relative humidity below 60%. The relationship between climate variables and transport mode choice is discussed to formulate policies and strategies that stimulate active transport.

Conclusion

The influence of meteorological conditions was quantified separately, which were −8.6 g CO2eq/°C, +3.4 g CO2eq/%RH and +8.8 g CO2eq/mm rain. The findings of this research provide information to expand scope of Life Cycle Analyses of health infrastructures.



中文翻译:

受天气影响的城市交通对西班牙医疗中心碳足迹的影响

介绍

天气条件影响城市流动性并改变温室气体排放量。本文的目的是分析西班牙埃斯特雷马杜拉(Extremadura)(西班牙)使用私家车产生的碳足迹的影响,重点是天气影响下对农村医疗中心的运输。这种新的理解将有助于改进对人为排放影响的预测。

方法

提出了一种回顾性研究方法,以分析在2019年4月至2020年3月之间在三个医疗中心进行的调查,这些医疗中心的用户数量从5376到11,980不等。共有22,541名患者接受了关于用于获得健康援助的车辆的采访。此外,收集平均温度,平均相对湿度和雨量以检验与运输过程中CO 2排放的相关性。

结果

提出了数学表达式来估计每个用户的每日CO 2排放量,该排放量是温度和相对湿度的函数。量化排放量相对于天气条件的变化率。由于在高于20°C的温度和低于60%的相对湿度下步行运输的增加,排放量显着减少了25%。讨论了气候变量与运输方式选择之间的关系,以制定刺激主动运输的政策和策略。

结论

的气象条件的影响被分别量化,这是-8.6克CO 2当量/℃,3.4克CO 2当量/%RH和8.8克CO 2当量/毫米雨。这项研究的发现为扩展健康基础设施的生命周期分析的范围提供了信息。

更新日期:2021-02-01
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