Traffic and crime

Beland, Louis‐Philippe; Brent, Daniel A.

doi:10.1016/j.jpubeco.2018.03.002

Cited by 38 publications

(30 citation statements)

References 28 publications

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“…5 Our study also connects to a recent and small but growing stream of literature examining the cross-domain effects of emotional shocks. For example, previous studies have shown that emotional cues triggered by a failure to obtain an expected outcome in the sports domain (unexpected loss) or by extreme traffic congestion can influence domestic violence (Card and Dahl, 2011;Beland and Brent, 2018) and judicial decisions (Eren and Mocan, 2018). We add to this literature by showing that emotions stirred in the financial domain can have dire external effects on behavior in unrelated activities.…”

Section: Introductionmentioning

confidence: 91%

When the market drives you crazy: Stock market returns and fatal car accidents

Giulietti

Tonin

Vlassopoulos

2020

Journal of Health Economics

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The stock market influences some of the most fundamental economic decisions of investors, such as consumption, saving, and labor supply, through the financial wealth channel. This paper provides evidence that daily fluctuations in the stock market have important -and hitherto neglected -spillover effects in another, unrelated domain, namely driving. Using the universe of fatal road car accidents in the United States from 1990 to 2015, we find that a one standard deviation reduction in daily stock market returns is associated with a 0.5% increase in the number of fatal accidents. A battery of falsification tests support a causal interpretation of this finding. Our results are consistent with immediate emotions stirred by a negative stock market performance influencing the number of fatal accidents, in particular among inexperienced investors, thus highlighting the broader economic and social consequences of stock market fluctuations. JEL-Codes: D910, R410, G410. for very useful comments and discussions, as well as seminar participants at Southampton and Bolzano. We also thank Xiaocheng Hu and Abu Siddique for excellent research assistance.

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Section: Introductionmentioning

confidence: 91%

When the market drives you crazy: Stock market returns and fatal car accidents

Giulietti

Tonin

Vlassopoulos

2020

Journal of Health Economics

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“…In addition to these physical tolls, studies have also shown that exposures to traffic congestion may be linked to psychological stress [12,13,14,15,16,17] and reduced well-being [18,19]. Furthermore, some studies have argued that longer commuting time, which is worsened by traffic congestion, may harm people’s work-family balance [20] or even increase the likelihood of being involved in domestic violence [21].…”

Section: Introductionmentioning

confidence: 99%

Beyond Commuting: Ignoring Individuals’ Activity-Travel Patterns May Lead to Inaccurate Assessments of Their Exposure to Traffic Congestion

Kim

Kwan

2018

IJERPH

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This research examines whether individual exposures to traffic congestion are significantly different between assessments obtained with and without considering individuals’ activity-travel patterns in addition to commuting trips. We used crowdsourced real-time traffic congestion data and the activity-travel data of 250 individuals in Los Angeles to compare these two assessments of individual exposures to traffic congestion. The results revealed that individual exposures to traffic congestion are significantly underestimated when their activity-travel patterns are ignored, which has been postulated as a manifestation of the uncertain geographic context problem (UGCoP). The results also highlighted that the probability distribution function of exposures is heavily skewed but tends to converge to its average when individuals’ activity-travel patterns are considered when compared to one obtained when those patterns are not considered, which indicates the existence of the neighborhood effect averaging problem (NEAP). Lastly, space-time visualizations of individual exposures illustrated that people’s exposures to traffic congestion vary significantly even if they live at the same residential location due to their idiosyncratic activity-travel patterns. The results corroborate the claims in previous studies that using data aggregated over areas (e.g., census tracts) or focusing only on commuting trips (and thus ignoring individuals’ activity-travel patterns) may lead to erroneous assessments of individual exposures to traffic congestion or other environmental influences.

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“…On the one hand, some visualizations aim to solve specific information needs, as in [6][7][8][11][12][13]18], where visualization intends to address key issues, such as the impact of greening programs on crime rates, the fluctuation of crime patterns according to seasonal climate, the growth of public transport systems, the influence of traffic and its restrictions, or stratification and zoning of cities, among others. On the other hand, other works area imed at improving visualization techniques, so they can be used with any type of data, including criminal activity data, such as [19][20][21][22][23].…”

Section: Work Related To Criminal Activity Visualization Methodsmentioning

confidence: 99%

A Novel Method of Spatiotemporal Dynamic Geo-Visualization of Criminal Data, Applied to Command and Control Centers for Public Safety

Salcedo-Gonzalez

Suarez-Paez

Esteve

et al. 2020

IJGI

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This article shows a novel geo-visualization method of dynamic spatiotemporal data that allows mobility and concentration of criminal activity to be study. The method was developed using, only and significantly, real data of Santiago de Cali (Colombia), collected by the Colombian National Police (PONAL). This method constitutes a tool that allows criminal influx to be analyzed by concentration, zone, time slot and date. In addition to the field experience of police commanders, it allows patterns of criminal activity to be detected, thereby enabling a better distribution and management of police resources allocated to crime deterrence, prevention and control. Additionally, it may be applied to the concepts of safe city and smart city of the PONAL within the architecture of Command and Control System (C2S) of Command and Control Centers for Public Safety. Furthermore, it contributes to a better situational awareness and improves the future projection, agility, efficiency and decision-making processes of police officers, which are all essential for fulfillment of police missions against crime. Finally, this was developed using an open source software, it can be adapted to any other city, be used with real-time data and be implemented, if necessary, with the geographic software of any other C2S.

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Traffic and crime

Cited by 38 publications

References 28 publications

When the market drives you crazy: Stock market returns and fatal car accidents

When the market drives you crazy: Stock market returns and fatal car accidents

Beyond Commuting: Ignoring Individuals’ Activity-Travel Patterns May Lead to Inaccurate Assessments of Their Exposure to Traffic Congestion

A Novel Method of Spatiotemporal Dynamic Geo-Visualization of Criminal Data, Applied to Command and Control Centers for Public Safety

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