Citation

Tabari P, Shabanikiya H, Bagheri N, Bergquist R, Hashtarkhani S, Kiani F, Mohammadi A, Kiani B. BMC Res. Notes 2020; 13(1): e363.

Copyright

(Copyright © 2020, Holtzbrinck Springer Nature Publishing Group - BMC)

DOI

10.1186/s13104-020-05203-1

PMID

32736649

Abstract

OBJECTIVES: The leading factors of paediatric, pedestrian road traffic injuries (PPRTIs) are associated with the characteristics of immediate environment. Spatial analysis of data related to PPRTIs could provide useful knowledge for public health specialists to prevent and decrease the number of accidents. Therefore, we aim to release the datasets which have been used to conduct a multiple-scale spatial analysis of PPRTIs in the city of Mashhad, Iran, between 2015-2019.

DATA DESCRIPTION: The data include four datasets. The base PPRTIs dataset includes motor vehicle accidents and their attributes in the city of Mashhad between March 2015 and March 2019. The attribute data includes the month, day of the week, hour of the day, place (longitude and latitude) of each accident, age range of the child and gender. Furthermore, three spatial datasets about the city of Mashhad are introduced; (1) the digital boundaries of Neighbourhood, (2) road network dataset (street lines) and (3) urban suburbs of Mashhad.

Language: en

Keywords

Iran; Road Traffic Injuries; Geographic Information Systems; Mashhad; Non-spatial data; Paediatric Accident; Pedestrian Accident; Spatial data