Crime and Climate

LeBeau, James M.

doi:10.1007/1-4020-3266-8_61

Cited by 2 publications

(1 citation statement)

References 232 publications

(323 reference statements)

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“…Scienti c inquiries about weather-crime associations began in the mid-nineteenth century (Cohn, 1990;Lebeau, 2005). Sociologists, criminologists and geographers paid speci c attention to weather-related causes behind crime during this time, as well as why crime was more common in some areas than in others.…”

Section: Introductionmentioning

confidence: 99%

A tested method for assessing and predicting weather-crime associations

Algahtany

Kumar

Barclay

2022

Environ Sci Pollut Res

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Few studies have focused on haze as a weather element and its correlation with crime. In this study, we examined haze as a weather variable to investigate its effects on criminal activity. We used both monthly crime data and weather records to build a regression model to predict crime cases considering three weather factors; temperature, humidity and haze. We applied this model in two different climate provinces in Saudi Arabia, namely, Riyadh and Makkah. Riyadh is a desert area and observes haze approximately 17 days per month on average, while Makkah is a coastal area observing haze an average of 4 days per month. We found a measurable relationship between each of these three variables and criminal activity. However, haze had the most effect on theft, drug and assault crimes in Riyadh compared to the other elements. Temperature and humidity have a signi cant relationship with crime in Makkah, while haze had no signi cant in uence in that region.

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Section: Introductionmentioning

confidence: 99%

A tested method for assessing and predicting weather-crime associations

Algahtany

Kumar

Barclay

2022

Environ Sci Pollut Res

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A Tested Method for Assessing and Predicting Weather-Crime Associations

Algahtany

Kumar²,

Barclay³

2021

Preprint

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Few studies have focused on haze as a weather element and its correlation with crime. In this study, we examined haze as a weather variable to investigate its effects on criminal activity. We used both monthly crime data and weather records to build a regression model to predict crime cases considering three weather factors; temperature, humidity and haze. We applied this model in two different climate provinces in Saudi Arabia, namely, Riyadh and Makkah. Riyadh is a desert area and observes haze approximately 17 days per month on average, while Makkah is a coastal area observing haze an average of 4 days per month. We found a measurable relationship between each of these three variables and criminal activity. However, haze had the most effect on theft, drug and assault crimes in Riyadh compared to the other elements. Temperature and humidity have a significant relationship with crime in Makkah, while haze had no significant influence in that region.

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Crime and Climate

Cited by 2 publications

References 232 publications

A tested method for assessing and predicting weather-crime associations

A tested method for assessing and predicting weather-crime associations

A Tested Method for Assessing and Predicting Weather-Crime Associations

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