Spatio-temporal pattern of vulnerable road user’s collisions hot spots and related risk factors for injury severity in Tunisia

Ouni, Fedy; Belloumi, Mounir

doi:10.1016/j.trf.2018.05.003

Cited by 62 publications

(18 citation statements)

References 57 publications

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“…This may be due to a longer emergency response time and a long distance between accident sites in rural areas (Yan et al, 2012). More other findings were presented by Ouni. and Belloumi (2018); and Belloumi and Ouni (2019).…”

Section: Empirical Results and Their Discussionmentioning

confidence: 70%

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2020

International Journal of Public Policy and Administration Resea

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Article History KeywordsTraffic accidents Hazardous road locations Negative binomial model Random effects negative binomial model Tunisia Efficient transportation systems Traffic policies. JEL Classification:R41, R42.The main objective of this study was to investigate the impact of factors linked to the geometric, roadway and traffic flow characteristics on traffic accident occurrence at Hazardous Road Locations (HRL) in the region of Sousse, Tunisia using longitudinal data of 52 HRLs for an 11-year monitoring period from January 1, 2004 to December 31, 2014. The results of estimation of Negative Binomial model and the Random Effects Negative Binomial model reported that the different variables representing the presence of rural segment, the curved alignment, the visibility, the average daily traffic volume, the presence of public lighting, the number of lane, the presence of vertical/horizontal sign, the presence of drainage system, the presence of paved shoulder, the roadway surface condition, and the presence of major road were the main significant variables influencing accident occurrences. Therefore, the results could be useful for deciders in the transport sector in order to implement effective measures to improve road safety by adopting proper sound use practices, establishing efficient transportation systems and formulating appropriate traffic policies and legislation. Contribution/Originality:This is one of the few studies which have investigated the occurrence of traffic accidents at Hazardous Road Locations in the region of Sousse (Tunisia) as a function of various explanatory factors linked to the geometric characteristics, roadway characteristics and traffic flow characteristics. 1443 persons were killed in 2016 and 11035 were injured in traffic-related crashes on the roads (National International

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Section: Empirical Results and Their Discussionmentioning

confidence: 70%

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2020

International Journal of Public Policy and Administration Resea

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“…KDE is an effective spatial interpolation method used to calculate the density of a continuous surface by using the kernel function superposed at each location (Equation ( 11)). It describes the spatial distribution characteristics of the events or objects according to the determination of the spatial location and relationship of the events or objects [55][56][57][58]. In the process of analyzing the spatial distribution of a POI, KDE was measured by Euclidean distance.…”

Section: Features Constructed According To Poimentioning

confidence: 99%

Mapping the Essential Urban Land Use in Changchun by Applying Random Forest and Multi-Source Geospatial Data

et al. 2020

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Understanding urban spatial pattern of land use is of great significance to urban land management and resource allocation. Urban space has strong heterogeneity, and thus there were many researches focusing on the identification of urban land use. The emergence of multiple new types of geospatial data provide an opportunity to investigate the methods of mapping essential urban land use. The popularization of street view images represented by Baidu Maps is benificial to the rapid acquisition of high-precision street view data, which has attracted the attention of scholars in the field of urban research. In this study, OpenStreetMap (OSM) was used to delineate parcels which were recognized as basic mapping units. A semantic segmentation of street view images was combined to enrich the multi-dimensional description of urban parcels, together with point of interest (POI), Sentinel-2A, and Luojia-1 nighttime light data. Furthermore, random forest (RF) was applied to determine the urban land use categories. The results show that street view elements are related to urban land use in the perspective of spatial distribution. It is reasonable and feasible to describe urban parcels according to the characteristics of street view elements. Due to the participation of street view, the overall accuracy reaches 79.13%. The contribution of street view features to the optimal classification model reached 20.6%, which is more stable than POI features.

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“…Moreover, a number of studies have scrutinized regional highways from safety and health perspectives (e.g. American Association of State Highway and Transportation Officials, 2001;Ouni & Belloumi, 2018, 2019a, 2019b.…”

Section: Overviewmentioning

confidence: 99%