2017
DOI: 10.2174/1874447801711010011
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Vehicle-Pedestrian crashes at Intersections in Dhaka city

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Cited by 10 publications
(6 citation statements)
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References 31 publications
(24 reference statements)
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“…Although there are many types of POI data that can be used as variables, introducing excessive variables may cause overfitting of the model [43]. Following previous studies [22][23][24], the variables that are described in Table 3 were chosen for this study. The NTL value of each road segment was taken from the pixel value closest to the reference point.…”
Section: Variable Collinearity Analysismentioning
confidence: 99%
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“…Although there are many types of POI data that can be used as variables, introducing excessive variables may cause overfitting of the model [43]. Following previous studies [22][23][24], the variables that are described in Table 3 were chosen for this study. The NTL value of each road segment was taken from the pixel value closest to the reference point.…”
Section: Variable Collinearity Analysismentioning
confidence: 99%
“…Among these explanatory variables, precise traffic exposure data, such as traffic flow and pedestrian flow, are most important but are not easy to obtain. Recently, point of interest (POI) [22][23][24], a type of social sensing data, has been introduced into the crash prediction models due mainly to its easy access and high capability for reflecting characteristics of human activities and the built environment. A typical example is the study by Jia et al [24] that examined the relationship between collisions rate and different types of POI and stated that there were more traffic collisions around banks and hospitals.…”
Section: Introductionmentioning
confidence: 99%
“…Some studies concentrated on distinct influential variables or crash patterns. For example, specific pedestrian age groups such as children [57,58], pedestrian crashes with specific vehicles such as trucks [50,59], buses [60], and taxies [61], specific location such as intersections [36,62], and so on. The segmentation of data by focusing on specific parameters provides beneficial information and may lower the heterogeneity, but they do not necessarily lead to complete homogeneity in each segment [63].…”
Section: Introductionmentioning
confidence: 99%
“…There are worthwhile insights into pedestrian safety from developed countries as a good number of research studies have been carried out since the 1970s ( Buehler and Pucher, 2021 , Esmaili et al, 2021 , McIlroy et al, 2019 , Zhang et al, 2019 , Truong et al, 2019 , Buehler and Pucher, 2017 , Tulu et al, 2013 , Diogenes and Lindau, 2010 , Odero et al, 1997 , Jacobs and Hutchinson, 1973 ). Presently, pedestrian crashes in developed countries indicate a decreasing trend due to the ongoing investment in road safety research programs and countermeasures ( Buehler and Pucher, 2021 , Rifaat et al, 2017a , Tulu et al, 2013 ). On the other hand, pedestrian safety remains one of the concerning issues in developing countries, with less understanding of the unique challenges faced by pedestrians in a developing country ( Pareekh et al, 2019 ).…”
Section: Introductionmentioning
confidence: 99%
“…The crash data obtained from “Kolkata Police” also indicate that intersections are the most hazardous locations for pedestrian crashes in Kolkata city (more than 60% of the fatal pedestrian crashes occurred in the year between 2011 and 2016). However, in developing nations, currently available intersection design guidelines are mostly biased towards the safety and efficiency of vehicular traffic rather than pedestrian ( Rifaat et al, 2017b , Fitzpatrick and Wooldridge, 2001 , Pietrucha and Opiela, 1993 ). Thus, for the improvement of pedestrian safety at the urban intersection level in developing countries, understanding the major sources of pedestrian risk factors and their contribution is necessary to select appropriate remedial measures.…”
Section: Introductionmentioning
confidence: 99%