Pattern of road traffic crash hot zones versus probable hot zones in Tunisia: A geospatial analysis

Ouni, Fedy; Belloumi, Mounir

doi:10.1016/j.aap.2019.04.008

Cited by 43 publications

(25 citation statements)

References 47 publications

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“…The two commonly used methodologies include hot spot and hot zone analyses. A hot spot refers to a dangerous road location where the actual crash rate is higher than the critical crash rate [2][3][4]. A hot spot is mainly a "point" at one specific location such as a road intersection, or a small but distinctive geographical feature such as a basic spatial unit (BSU).…”

Section: Literature Reviewmentioning

confidence: 99%

“…In relation, some studies suggest using Empirical Bayes and Full Bayes methods to reduce the regression-to-mean (RTM) bias [13]. Although there is no consensus on the best approach to detect hot zones, the use of local statistical measures can generally generate better results, as global measures only capture the average spatial pattern in an entire region [3]. Spatial autocorrelation using the link-attribute approach is particularly beneficial in the hot zone analysis, because this allows to identify contiguous BSUs that are specifically with higher crash intensity [19].…”

Section: Literature Reviewmentioning

confidence: 99%

“…The network distance for the two main highways in Aceh province is 1053 km. The length of the BSUs can vary and is context-specific [3], but 100-meter long segments are commonly used [2,4,7,34]. In this study, the roads were cut into 200-meter long BSUs because this segment size was best reflective of the local context and of changes in the environment of highways without a lot of intersections.…”

Section: Network Segmentationmentioning

confidence: 99%

“…The "hot spot" (also called black-site and black spot) and "hot zone" methodology are two popular methods employed by road safety administrations and researchers to identify hazardous road locations. A hot spot generally refers to a dangerous road location where the actual crash rate is higher than the critical crash rate [2][3][4], whereas a hot zone refers to a dangerous road location made of two or more continuous segments that contain an actual crash rate higher than a threshold value [2,[5][6][7]. There is a rich literature that examines the spatial statistics of identifying hot spots and hot zones of traffic crashes [6][7][8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

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A Combined Approach to Address Road Traffic Crashes beyond Cities: Hot Zone Identification and Countermeasures in Indonesia

et al. 2020

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Addressing fatalities on road is a major concern in most countries in the world. South-East Asian countries are no exception. In Indonesia, three persons die on road every hour. Understanding where and how road traffic crashes happen is imperative before the most efficient countermeasures can be devised and implemented. In this paper, three tools-hot spots, hot zones and hot clusters-are used to identify sections of two main highways in the Province of Aceh that require most urgent action. Many countermeasures have been developed to address the problem of black sites (hot spots). Examples of implementation often come from Australia, Europe or North America. Less research exists on countermeasures in hot zones, even less so in the Global South (less developed countries from Southeast Asia, Africa and Latin America). This research applies quantitative spatial analysis that builds on existing works using the hot zone methodology and goes a step further by suggesting relevant countermeasures. More precisely, by taking into consideration the global urban-rural divide, this paper attempts to identify the most dangerous highway sections, in Indonesia, and to suggest appropriate hot zone countermeasures based on the characteristics of these hot zones. The results showed that urban highways, when compared to rural highways, were characterized by higher crash rates and a larger number of hot zones. Formulating hot zone countermeasures in urban environments should therefore consider their associated dangerousness and environmental features. Proposed countermeasures in urban roads include a stricter monitoring of the use of helmet, seat belt and cellphone, and the development of periodic communication and awareness campaigns.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Network Segmentationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Combined Approach to Address Road Traffic Crashes beyond Cities: Hot Zone Identification and Countermeasures in Indonesia

et al. 2020

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“…There are several methods being used to determine the hotspots for road accidents within the previous studies. Some of the researchers using statistical package CrimeStat that offers numerous algorithms in determining the spatial pattern that exist within the data and using Geographical Information System (GIS) to visualize the identified hotspots to strengthen the validity of the results and some others using spatial statistic tools that supported by Arcgis [4][5] [6]. GIS is a very vital and comprehensive management tool for traffic safety.…”

Section: Introductionmentioning

confidence: 99%

Determining Spatial Patterns of Road Accidents at Expressway by Applying Getis-Ord Gi* Spatial Statistic

2019

IJRTE

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Abstract: This paper was using Getis-Ord (Gi*) spatial statistics to identify hot spots on the controlled-access expressway. continuous traffic flow is disturbed. There are 16 hotspot locations were identified which is equivalent to 64% from the total hotspots that occur at the location where were the existing of interchange, exit ramp, slip road, rest area or lay by spotted at The application of the method was demonstrated through a case study by using the reported road accident cases in North-South Expressway (NSE). The method successfully identified the clusters of accidents from more than 47,359 accident records from 2016 to 2019. 25 hotspot locations were identified at this study area represents 26.81% of reported cases with the lengthiest hotspot is 31.2 km and the shortest is 300m. The largest and the second largest means of z score of hotspots were identified near to well-known high populated and busy city Kuala Lumpur with scores of 6.17243 and 6.074437. The largest z score means the more intense clustering at the location will be and statistically significance to reject the null hypothesis. This study also found that the accident hotspots tend to occur at the location where the the area. The interference of traffic flows including diverge and merge activities will affect the speed consistency and which if often, leads to sideswipe and rear accidents. By using GIS, the location of hotspots can be analyzed meticulously at the location. It can help in determining effective countermeasures based on the analysis of the causal factors

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A Review of the Spatial Analysis Techniques for the Identification of Road Accident Black Spots and It’s Application in Context to India

Aziz

Ram

2022

Sustainable Civil Infrastructures

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Pattern of road traffic crash hot zones versus probable hot zones in Tunisia: A geospatial analysis

Cited by 43 publications

References 47 publications

A Combined Approach to Address Road Traffic Crashes beyond Cities: Hot Zone Identification and Countermeasures in Indonesia

A Combined Approach to Address Road Traffic Crashes beyond Cities: Hot Zone Identification and Countermeasures in Indonesia

Determining Spatial Patterns of Road Accidents at Expressway by Applying Getis-Ord Gi* Spatial Statistic

A Review of the Spatial Analysis Techniques for the Identification of Road Accident Black Spots and It’s Application in Context to India

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