Safety diagnosis: Are we doing a good job?

Identification and Prioritization Techniques Applied to Urban Accident-Prone Locations: A Scoping Review

“…Fourteen grouping methods were found among the 42 studies evaluated (Table 3), highlighting the use of section split (SS) (Al-Omari et al, 2020;Greibe, 2003;Guerrero-Barbosa and Santiago-Palacio, 2016;Halim et al, 2018;Hayidso et al, 2019;Nguyen et al, 2016;Qu et al, 2019;Saha et al, 2020;Sugiyanto et al, 2017;Yan et al, 2019), kernel density estimation (KDE) (Hegyi et al, 2017;Le et al, 2020aLe et al, , 2020bPleerux, 2020;Shafabakhsh et al, 2017;Soltani and Askari, 2014;Xie and Yan, 2013), network kernel density estimation (NKDE) (Al-Aamri et al, 2021;Fan et al, 2018;Nie et al, 2015;Xie and Yan, 2008), spatial autocorrelation (SA) (Chance Scott et al, 2016;Steenberghen et al, 2011;Ulak et al, 2019), community census (CC) (Dong et al, 2016;Dumbaugh et al, 2010;Vaz et al, 2017), and cells (Cui and Xie, 2021;Debrabant et al, 2018;Geurts et al, 2005;Xiao et al, 2021). Less frequently used were beta-binomial screening (Park and Sahaji, 2013b), city limits , DBSCAN (Szénási and Jankó, 2017), the Firefly algorithm (Yuan et al, 2020), Gaussian mixture models (GMMs) (Mansourkhaki et al, 2017), nearest neighbor (NN) (Rahman et al, 2020)…”

“…The use of the UCL criterion was applied to values estimated using regression models, compared to observed values (Guerrero-Barbosa and Santiago-Palacio, 2016), and using Ripley's K-function to compare K-observed and K-expected values for RTAs (Pleerux, 2020;Shafabakhsh et al, 2017). The empirical Bayes method was used to determine the expected proportions of RTAs that exceeded the threshold proportion, in situations with the same configuration (Park and Sahaji, 2013b). The UCL, guided by statistical quality control models, was adopted in analyses that used local WANs against expected WANs (Halim et al, 2018;Sugiyanto et al, 2017).…”