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Abstract
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 superhumid 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.
Abstract
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 superhumid 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.
Abstract
To avoid hazards, manage risks, and successfully conduct their outdoor activities, people in Antarctica make weather-related decisions every day. Research on Antarctic weather information use and related decision-making, services, and user needs is limited. In a mixed-methods study, we explored how people use weather information to manage activities and weather in Antarctic regions. Survey (n = 62) and interview (n = 35) participants were deployed with National Antarctic Programs and tourism operators across a range of roles, activities, and locations. How and when weather information was used depended on people’s decision contexts, location, activities, previous experience and knowledge. Experienced participants used weather information, their experience, and local knowledge to form and maintain their situation awareness. Situation awareness influenced participant's decision-making, risk assessment, and planning processes and enabled people's adaptation to changing circumstances, hazards, and weather conditions. As a part of these processes, forecasts were used primarily for pre-activity planning and scheduling decisions. Tasks were prioritized and planned based on suitable weather conditions, experience, and safety. During activities, real-time weather data, personal observations, and experience were important for updating situation awareness, risk judgments, decision-making, and maintaining safety. Levels of weather service provision and training varied and were often not fit-for-purpose, which may adversely impact people's safety in Antarctic regions. Results contribute to our understanding of polar weather user needs, and how we may support people to develop the experience, knowledge, and non-technical skills necessary for identifying and avoiding hazards and safe, efficient, and successful outdoor activities.
Abstract
To avoid hazards, manage risks, and successfully conduct their outdoor activities, people in Antarctica make weather-related decisions every day. Research on Antarctic weather information use and related decision-making, services, and user needs is limited. In a mixed-methods study, we explored how people use weather information to manage activities and weather in Antarctic regions. Survey (n = 62) and interview (n = 35) participants were deployed with National Antarctic Programs and tourism operators across a range of roles, activities, and locations. How and when weather information was used depended on people’s decision contexts, location, activities, previous experience and knowledge. Experienced participants used weather information, their experience, and local knowledge to form and maintain their situation awareness. Situation awareness influenced participant's decision-making, risk assessment, and planning processes and enabled people's adaptation to changing circumstances, hazards, and weather conditions. As a part of these processes, forecasts were used primarily for pre-activity planning and scheduling decisions. Tasks were prioritized and planned based on suitable weather conditions, experience, and safety. During activities, real-time weather data, personal observations, and experience were important for updating situation awareness, risk judgments, decision-making, and maintaining safety. Levels of weather service provision and training varied and were often not fit-for-purpose, which may adversely impact people's safety in Antarctic regions. Results contribute to our understanding of polar weather user needs, and how we may support people to develop the experience, knowledge, and non-technical skills necessary for identifying and avoiding hazards and safe, efficient, and successful outdoor activities.
Abstract
Punctuality monitoring and analysis aims to optimize resource allocation for enhancing rail traffic performance and quality. Adverse weather conditions, particularly heavy precipitation events, are recognized as significant drivers of delays and reduced punctuality of the rail system. This study addresses two key research questions using HSR as an example – what is the impact of rainfall on HSR’s delay, and to what extent are HSR vulnerable to rainstorms. The data for the study were collected from the HSR on the major lines of eastern China in the rainy season of 2015-2017 which lasted from May to October. High-resolution precipitation data is integrated with non-spatial HSR operational data using GIS to create composite grids covering buffer zones around HSR lines. These grids match the spatial scale of historical hourly precipitation data and enable regression analyses to assess how precipitation affects HSR operations. The results indicate that extreme rainfall significantly contributes to delays and reduced punctuality, with varying impacts observed across different HSR lines. Specifically, daily areal precipitation significantly delays services on the Hangzhou-Shenzhen and Nanjing-Hangzhou HSR lines. Rainfall intensity has a more pronounced impact on delay services of the Beijing-Shanghai HSR, while extreme precipitation most frequently affects the Shanghai-Nanjing and Jinhua-Wenzhou HSR lines. The case analysis enhances understanding of HSR vulnerability to heavy rainfall conditions and recommends regional adaptation strategies to manage climate-related uncertainties.
Abstract
Punctuality monitoring and analysis aims to optimize resource allocation for enhancing rail traffic performance and quality. Adverse weather conditions, particularly heavy precipitation events, are recognized as significant drivers of delays and reduced punctuality of the rail system. This study addresses two key research questions using HSR as an example – what is the impact of rainfall on HSR’s delay, and to what extent are HSR vulnerable to rainstorms. The data for the study were collected from the HSR on the major lines of eastern China in the rainy season of 2015-2017 which lasted from May to October. High-resolution precipitation data is integrated with non-spatial HSR operational data using GIS to create composite grids covering buffer zones around HSR lines. These grids match the spatial scale of historical hourly precipitation data and enable regression analyses to assess how precipitation affects HSR operations. The results indicate that extreme rainfall significantly contributes to delays and reduced punctuality, with varying impacts observed across different HSR lines. Specifically, daily areal precipitation significantly delays services on the Hangzhou-Shenzhen and Nanjing-Hangzhou HSR lines. Rainfall intensity has a more pronounced impact on delay services of the Beijing-Shanghai HSR, while extreme precipitation most frequently affects the Shanghai-Nanjing and Jinhua-Wenzhou HSR lines. The case analysis enhances understanding of HSR vulnerability to heavy rainfall conditions and recommends regional adaptation strategies to manage climate-related uncertainties.
Abstract
An intensive survey was carried out over the past 8 years in tribal-dominated areas of southwestern Rajasthan to document red-wattled lapwing (Vanellus indicus) behavior as a rain forecaster, relevant to farm planning and better crop production. The present study included tribal farmers, agriculture scientists, extension workers, ornithologists, and farm workers. The precision of their observations was compared with a contemporaneous study of 10–15 red-wattled lapwing nests across the 46-ha operational area of the Agricultural Research Sub-Station (ARSS) and Adaptive Trial Center (ATC), Sumerpur, Pali, Rajasthan (25.1526°N latitude, 73.0823°E longitude). Local knowledge was gathered through surveys and focus group discussions with the respondents to discuss lapwing behavior as a rain prediction indicator. Meteorological data were gathered from the ATC farm observatory. The findings revealed that the older tribal farmers have an assortment of knowledge about the behavior of red-wattled lapwing as rain prediction indicators such as nesting sites, egg position, egg arrangement, nesting material, numbers of eggs, and egg-laying patterns. These predictions have a direct correlation with modern meteorological observations. It was also noted that the elder tribal farmers planned their farms using lapwing indicators in order to increase crop production, whereas younger generations overlook the traditional rain prediction indicators and have significant knowledge about meteorological data-based weather forecasting. Both the elder and younger tribal farmers were equally interested in meteorological weather forecast announcements, but due to network connectivity challenges, residents in some remote places were unable to access modern meteorological information. Long-term accurate rain forecasting is needed for better agricultural planning and to secure crop production. Rain forecasting can be improved by blending modern meteorological information with traditional proven indications. Farmers who have considerable traditional knowledge along with modern technological updates are capable of using both sources of information in suitable and successful farm planning for better crop production.
Significance Statement
The purpose of this study is to examine red-wattled lapwing behavior as rain measurements and compare its reliability with modern rain forecasting methods. We also develop a theoretical framework for understanding traditional and modern rain forecasting methods for disaster management in remote and accessible areas, to assist resource management and to minimize costs of cultivation. Our results provide a guideline for blending both types of knowledge and for providing relevant information to remote tribal areas at appropriate times for better farm planning and crop production.
Abstract
An intensive survey was carried out over the past 8 years in tribal-dominated areas of southwestern Rajasthan to document red-wattled lapwing (Vanellus indicus) behavior as a rain forecaster, relevant to farm planning and better crop production. The present study included tribal farmers, agriculture scientists, extension workers, ornithologists, and farm workers. The precision of their observations was compared with a contemporaneous study of 10–15 red-wattled lapwing nests across the 46-ha operational area of the Agricultural Research Sub-Station (ARSS) and Adaptive Trial Center (ATC), Sumerpur, Pali, Rajasthan (25.1526°N latitude, 73.0823°E longitude). Local knowledge was gathered through surveys and focus group discussions with the respondents to discuss lapwing behavior as a rain prediction indicator. Meteorological data were gathered from the ATC farm observatory. The findings revealed that the older tribal farmers have an assortment of knowledge about the behavior of red-wattled lapwing as rain prediction indicators such as nesting sites, egg position, egg arrangement, nesting material, numbers of eggs, and egg-laying patterns. These predictions have a direct correlation with modern meteorological observations. It was also noted that the elder tribal farmers planned their farms using lapwing indicators in order to increase crop production, whereas younger generations overlook the traditional rain prediction indicators and have significant knowledge about meteorological data-based weather forecasting. Both the elder and younger tribal farmers were equally interested in meteorological weather forecast announcements, but due to network connectivity challenges, residents in some remote places were unable to access modern meteorological information. Long-term accurate rain forecasting is needed for better agricultural planning and to secure crop production. Rain forecasting can be improved by blending modern meteorological information with traditional proven indications. Farmers who have considerable traditional knowledge along with modern technological updates are capable of using both sources of information in suitable and successful farm planning for better crop production.
Significance Statement
The purpose of this study is to examine red-wattled lapwing behavior as rain measurements and compare its reliability with modern rain forecasting methods. We also develop a theoretical framework for understanding traditional and modern rain forecasting methods for disaster management in remote and accessible areas, to assist resource management and to minimize costs of cultivation. Our results provide a guideline for blending both types of knowledge and for providing relevant information to remote tribal areas at appropriate times for better farm planning and crop production.
Abstract
Weather profoundly shapes our daily lives, yet its psychological impact varies distinctly among different cultural and ethnic groups. In a comprehensive analysis of 974 Spanish-speaking individuals in the United States, our research delves into three dimensions of weather salience—a measure of the psychological importance attributed to weather. Contrary to expectations, geographic location within the U.S. does not significantly influence weather salience dimensions among Spanish-speaking populations. Rather, differences in weather salience emerge based on the nativity and origin country of a Spanish speaker. Foreign-born Spanish speakers exhibit higher weather salience compared to their U.S.-born counterparts, with notable differences in daily attention to weather and severe weather events. Additionally, the degree of psychological attunement to weather distinctly varies among different Hispanic and Latino ethnic groups within Spanish-speaking communities. These findings help explain why weather salience may be lower among Spanish-speaking groups and highlight the variability across different cultural groups. Tailoring messages to the unique experiences and backgrounds of diverse Spanish-speaking communities is essential, moving beyond simple language translation to embrace the rich cultural tapestry of these groups.
Abstract
Weather profoundly shapes our daily lives, yet its psychological impact varies distinctly among different cultural and ethnic groups. In a comprehensive analysis of 974 Spanish-speaking individuals in the United States, our research delves into three dimensions of weather salience—a measure of the psychological importance attributed to weather. Contrary to expectations, geographic location within the U.S. does not significantly influence weather salience dimensions among Spanish-speaking populations. Rather, differences in weather salience emerge based on the nativity and origin country of a Spanish speaker. Foreign-born Spanish speakers exhibit higher weather salience compared to their U.S.-born counterparts, with notable differences in daily attention to weather and severe weather events. Additionally, the degree of psychological attunement to weather distinctly varies among different Hispanic and Latino ethnic groups within Spanish-speaking communities. These findings help explain why weather salience may be lower among Spanish-speaking groups and highlight the variability across different cultural groups. Tailoring messages to the unique experiences and backgrounds of diverse Spanish-speaking communities is essential, moving beyond simple language translation to embrace the rich cultural tapestry of these groups.
Abstract
Acute kidney injury (AKI) and chronic kidney disease (CKD) are serious health conditions with an enormous global health burden. There is evidence to suggest that CKD rates are increasing within the United States despite declines in traditional risk factors for kidney injury and disease, disproportionately impacting certain populations. Changes in meteorological factors because of climate change may be partially responsible for this increase in kidney injury. This study evaluated the association between AKI and meteorological factors controlling for demographic and health factors among adults within the San Luis Valley, Colorado, a rural, biethnic agrarian community at increased risk for health impacts from climate change, over a 15-yr period. Relative humidity was a significant predictor of AKI controlling for age, sex, history of hypertension, and history of diabetes. Changing weather patterns may increase the risk of AKI and the subsequent development of CKD within the United States. These findings may help public health practitioners and medical professionals to identify populations at risk of incurring acute or chronic kidney injury as seasonal weather patterns change. Further research should investigate the role of heat, heat stress, and dehydration in developing CKD in the United States.
Abstract
Acute kidney injury (AKI) and chronic kidney disease (CKD) are serious health conditions with an enormous global health burden. There is evidence to suggest that CKD rates are increasing within the United States despite declines in traditional risk factors for kidney injury and disease, disproportionately impacting certain populations. Changes in meteorological factors because of climate change may be partially responsible for this increase in kidney injury. This study evaluated the association between AKI and meteorological factors controlling for demographic and health factors among adults within the San Luis Valley, Colorado, a rural, biethnic agrarian community at increased risk for health impacts from climate change, over a 15-yr period. Relative humidity was a significant predictor of AKI controlling for age, sex, history of hypertension, and history of diabetes. Changing weather patterns may increase the risk of AKI and the subsequent development of CKD within the United States. These findings may help public health practitioners and medical professionals to identify populations at risk of incurring acute or chronic kidney injury as seasonal weather patterns change. Further research should investigate the role of heat, heat stress, and dehydration in developing CKD in the United States.
Abstract
Evaluation of near-term (sub)seasonal climate services’ impact is challenging but necessary for ensuring that society’s needs for actionable information are met. We use a descriptive study of the monthly North Central U.S. Climate and Drought Webinar Series at two time points (2014 and 2021) to examine societal impacts on capacity-building, sensemaking, fact-establishing, communication, decision-making, and social–ecological systems. The North Central U.S. Climate and Drought Webinar Series arose following a 2011 climate disaster and established itself over the next 10 years as a monthly resource for climate and impact information translation and interaction. Survey respondents indicated early benefits related to understanding how to find and use climate information and improved conceptual understanding of climate issues and problems. Many used webinar information to compare with other sources of data or to incorporate into their own communications, uses which can increase overall societal trust in climate information over time. Attendees’ self-reported capacity for using climate information in decision-making and actual use of information in specific decisions or management contexts increased as the webinar series approached the 10-yr mark. Most participants did not note financial or other social–ecological outcomes of their use of the webinars. We conclude by recommending that climate services be evaluated over sufficiently long time periods to capture evolving impacts and that evaluations incorporate impact rubrics that measure subtle yet important societal capacities and decision-making processes related to climate risk management.
Abstract
Evaluation of near-term (sub)seasonal climate services’ impact is challenging but necessary for ensuring that society’s needs for actionable information are met. We use a descriptive study of the monthly North Central U.S. Climate and Drought Webinar Series at two time points (2014 and 2021) to examine societal impacts on capacity-building, sensemaking, fact-establishing, communication, decision-making, and social–ecological systems. The North Central U.S. Climate and Drought Webinar Series arose following a 2011 climate disaster and established itself over the next 10 years as a monthly resource for climate and impact information translation and interaction. Survey respondents indicated early benefits related to understanding how to find and use climate information and improved conceptual understanding of climate issues and problems. Many used webinar information to compare with other sources of data or to incorporate into their own communications, uses which can increase overall societal trust in climate information over time. Attendees’ self-reported capacity for using climate information in decision-making and actual use of information in specific decisions or management contexts increased as the webinar series approached the 10-yr mark. Most participants did not note financial or other social–ecological outcomes of their use of the webinars. We conclude by recommending that climate services be evaluated over sufficiently long time periods to capture evolving impacts and that evaluations incorporate impact rubrics that measure subtle yet important societal capacities and decision-making processes related to climate risk management.
Abstract
Extreme weather, including heat waves, poses a significant threat to ecosystems and human health. As global temperatures continue to rise, the frequency and severity of heat waves will increase. Because of this, communicating heat-related risks to the public is increasingly important. One commonly used communication tool is the Climate Shift Index (CSI), which establishes how much more likely an extreme weather event, such as a heat wave, has been made by climate change. To test the impact of the CSI on people’s understanding of the links between climate change and extreme weather, we conducted an experiment informing 3902 American adults that climate change made the July 2023 heat wave in the United States at least 5 times more likely. In addition to this standard CSI wording and two control messages, we also explored the effectiveness of reframing magnitude as a percentage and whether mechanistic and attribution explanations of the relationship between climate change and heat waves further increase understanding. All treatments increased the belief that climate change made the July 2023 heat wave more likely and is making heat waves in general more likely as well. Additionally, we found that expressing the magnitude as a percentage was more effective than the standard CSI framing. We also found that just talking about the heat wave, without mentioning climate change, was enough to change beliefs.
Abstract
Extreme weather, including heat waves, poses a significant threat to ecosystems and human health. As global temperatures continue to rise, the frequency and severity of heat waves will increase. Because of this, communicating heat-related risks to the public is increasingly important. One commonly used communication tool is the Climate Shift Index (CSI), which establishes how much more likely an extreme weather event, such as a heat wave, has been made by climate change. To test the impact of the CSI on people’s understanding of the links between climate change and extreme weather, we conducted an experiment informing 3902 American adults that climate change made the July 2023 heat wave in the United States at least 5 times more likely. In addition to this standard CSI wording and two control messages, we also explored the effectiveness of reframing magnitude as a percentage and whether mechanistic and attribution explanations of the relationship between climate change and heat waves further increase understanding. All treatments increased the belief that climate change made the July 2023 heat wave more likely and is making heat waves in general more likely as well. Additionally, we found that expressing the magnitude as a percentage was more effective than the standard CSI framing. We also found that just talking about the heat wave, without mentioning climate change, was enough to change beliefs.
Abstract
Map graphics are often used for hazard risk communication, layered with numerical, verbal, and visual information to describe an uncertain threat. In the hurricane context, graphics are used to communicate the probability of different threats over a forecasting period. While hurricane graphics have been studied in the past, they have not been designed with colorblind-friendly accessibility and localization in mind. This study presents the results of a mixed-method study, testing the perceptions of different color schemes and map overlays on a wind exceedance map graphic with samples of experts (emergency managers and meteorologists) and the public. Nineteen experts from Florida and Louisiana were interviewed about their preferences for and risk perceptions of the design elements of the new wind exceedance graphic. The graphic prototypes were also tested using a public sample (n = 624) from Florida and Louisiana to study participants’ design preferences and risk perceptions. Both expert and public samples preferred a yellow-to-red scheme, though experts thought the yellow-to-red scheme presented the hazard as riskier and the public thought the reds-only scheme was riskier. Experts and the public preferred a map graphic with overlays; they scored a map graphic with overlays as riskier than a version without overlays. Understanding the connection between color scheme preference and risk perception for both experts and the public has important implications on risk communication as new graphics are designed. The conclusion of this study provides avenues for future research for experts who want to apply universal design aspects into hurricane graphics.
Significance Statement
This study investigates user preferences and risk perceptions for a new wind exceedance hurricane graphic designed with universal design principles. Experts (emergency managers and meteorologists) and the public from Florida and Louisiana participated in a mixed-method study, capturing qualitatively and quantitatively how a yellow-to-red and reds-only color scheme, as well as interstate or city overlays, impacted their engagement with the graphic. Studying the design features of forecast graphics from a social science perspective before they are operational is important, as the findings from this study reveal how different groups could perceive the graphic.
Abstract
Map graphics are often used for hazard risk communication, layered with numerical, verbal, and visual information to describe an uncertain threat. In the hurricane context, graphics are used to communicate the probability of different threats over a forecasting period. While hurricane graphics have been studied in the past, they have not been designed with colorblind-friendly accessibility and localization in mind. This study presents the results of a mixed-method study, testing the perceptions of different color schemes and map overlays on a wind exceedance map graphic with samples of experts (emergency managers and meteorologists) and the public. Nineteen experts from Florida and Louisiana were interviewed about their preferences for and risk perceptions of the design elements of the new wind exceedance graphic. The graphic prototypes were also tested using a public sample (n = 624) from Florida and Louisiana to study participants’ design preferences and risk perceptions. Both expert and public samples preferred a yellow-to-red scheme, though experts thought the yellow-to-red scheme presented the hazard as riskier and the public thought the reds-only scheme was riskier. Experts and the public preferred a map graphic with overlays; they scored a map graphic with overlays as riskier than a version without overlays. Understanding the connection between color scheme preference and risk perception for both experts and the public has important implications on risk communication as new graphics are designed. The conclusion of this study provides avenues for future research for experts who want to apply universal design aspects into hurricane graphics.
Significance Statement
This study investigates user preferences and risk perceptions for a new wind exceedance hurricane graphic designed with universal design principles. Experts (emergency managers and meteorologists) and the public from Florida and Louisiana participated in a mixed-method study, capturing qualitatively and quantitatively how a yellow-to-red and reds-only color scheme, as well as interstate or city overlays, impacted their engagement with the graphic. Studying the design features of forecast graphics from a social science perspective before they are operational is important, as the findings from this study reveal how different groups could perceive the graphic.
Abstract
Improving the performance and resilience of the transportation system in cities is an important way to combat climate change. However, the relationship between weather conditions and traffic congestion remains unclear. This study investigates the association between weather conditions and traffic congestion [congestion delay index (CDI)] using a dataset encompassing 98 cities in China from 2015 to 2019. The results reveal that temperature exerts a significant negative effect on CDI, particularly during weekends. Conversely, rain, wind speed, and relative humidity exhibit significant positive effects on CDI. Specifically, traffic congestion would decrease by 6% when the temperature exceeds 25°C, while it increases by 2%–5.6% with rainfall increases on workdays. Besides, the precipitation–CDI relationship shows an inverse U shape, especially on weekends. Although subways could mitigate the impact of temperature on cities compared to those without subways, the supplementary effect is mild on rainy days.
Significance Statement
The increasing frequency of extreme weather events poses great threats to cities’ transport systems, and understanding the association between weather conditions and traffic congestion is insightful for future transport planning. The results show that traffic congestion would decrease by 6% when the temperature exceeds 25°C, while it increases by 2%–5.6% with rainfall increases on workdays and the association becomes nonlinear on weekends. Besides, cities equipped with subway systems demonstrate greater resilience to hot weather conditions, although rainfall’s impact remains challenging to mitigate.
Abstract
Improving the performance and resilience of the transportation system in cities is an important way to combat climate change. However, the relationship between weather conditions and traffic congestion remains unclear. This study investigates the association between weather conditions and traffic congestion [congestion delay index (CDI)] using a dataset encompassing 98 cities in China from 2015 to 2019. The results reveal that temperature exerts a significant negative effect on CDI, particularly during weekends. Conversely, rain, wind speed, and relative humidity exhibit significant positive effects on CDI. Specifically, traffic congestion would decrease by 6% when the temperature exceeds 25°C, while it increases by 2%–5.6% with rainfall increases on workdays. Besides, the precipitation–CDI relationship shows an inverse U shape, especially on weekends. Although subways could mitigate the impact of temperature on cities compared to those without subways, the supplementary effect is mild on rainy days.
Significance Statement
The increasing frequency of extreme weather events poses great threats to cities’ transport systems, and understanding the association between weather conditions and traffic congestion is insightful for future transport planning. The results show that traffic congestion would decrease by 6% when the temperature exceeds 25°C, while it increases by 2%–5.6% with rainfall increases on workdays and the association becomes nonlinear on weekends. Besides, cities equipped with subway systems demonstrate greater resilience to hot weather conditions, although rainfall’s impact remains challenging to mitigate.
