降水和气温会影响人们对城市清洁度的感知吗?

J. Mazon, David Pino, Daniel López
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摘要

本研究探讨了西班牙 47 个最大城市的天气与城市清洁度感知之间的相关性。利用全国消费者和用户组织(OCU)在 2015 年、2019 年和 2023 年进行的调查数据来评估清洁度感知,我们分析了与西班牙气象局气象站记录的降水和温度之间的潜在关联。此外,我们还考虑了 De Martonne 干旱度指数的计算值。OCU 的数据揭示了清洁度质量感知的地区差异。位于西班牙北部和中北部地区的城市清洁度得分较高,根据德马顿指数,这些地区的气候特点是潮湿和超潮湿。相反,西班牙南部和东部地区的城市清洁度评分较低,因为这些地区属于地中海气候,干旱指数值较低。在对清洁度感知与降水量和温度相关变量进行统计分析时,卡方检验和线性相关检验的结果表明,虽然存在一种趋势,但在统计上并没有很强的相关性。年降水量较高和年平均气温值较低的城市往往获得较好的清洁度评价,而较干燥和较温暖的城市则表现出最差的城市清洁度感知值:随着干旱程度的增加,清洁度感知也随之降低。这些结果与未来清洁方法和系统的开发息息相关,特别是考虑到地中海地区预计会出现的气候变化情景,即气候变暖、更加干燥,从而导致干旱加剧。
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Do Precipitation and Temperature Influence Perceptions of Urban Cleanliness?
This study explores the correlation between weather and the perception of urban cleanliness across the 47 largest cities in Spain. Utilizing survey data conducted by the national Consumers and Users Organization (OCU) in 2015, 2019, and 2023 to assess cleanliness perceptions, we analyze potential associations with precipitation and temperature recorded by weather stations of the Spanish Meteorological Agency. Additionally, we consider computed values of the De Martonne aridity index. The OCU data reveal regional disparities in perceived cleanliness quality. Higher cleanliness scores are obtained in cities located in the northern and north-central regions of Spain, characterized by humid and super-humid climates according to the De Martonne index. Conversely, lower cleanliness ratings are given to cities in the southern and eastern regions of Spain, where a Mediterranean climate and lower aridity index values prevail. In conducting a statistical analysis on the perception of cleanliness and variables related to precipitation and temperature, the results of the chi-square and linear correlation tests found no strong statistical correlation, although a tendency is observed. Cities with higher annual precipitation and lower values of average annual temperature tend to receive better cleanliness ratings, while drier and warmer cities exhibit the worst values of perceived urban cleanliness. Furthermore, our findings indicate that the Gompertz model effectively captures a strong statistical correlation in the relationship between cleanliness perception and the De Martonne index: As aridity increases, cleanliness perception decreases. These results are relevant for the development of future cleaning methods and systems, particularly in light of the climate change scenarios that are anticipated in the Mediterranean region due to warmer and drier conditions and, consequently, an increase in aridity.
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