Road Traffic Injuries in Nepal during COVID-19 Lockdown_Media reporting (24 March to 14 June, 2020).csv

The data file include secondary data from multiple sources i.e. media reports, published, and unpublished police records. Data collection was done in two ways; online search of daily media reports for vehicle crash incidents and through obtaining police records. According to the nature of data sources, a limited number of variables - total number of crashes, crash location, vehicles that instigate the crashes, i.e. the vehicle and the counterparts (animal, people, or objects etc.) involved in the crash, and number of deaths &amp; injuries were recorded. This paper includes the road crashes information for 82 days of the lockdown (24 March to 14 June 2020) from media reports and police records. The exact location and types of vehicles involved in fatal crashes were not available from the Police data, therefore the exact detail of the vehicles and the location of crashes were extracted from the media reporting. With the available information of location, <i>Palika level –</i> (local government unit) for fatal crashes, the cases were nationally mapped. Similarly, comparisons have been made between the data for the same period for both the sources, where needed.

本数据集包含多源二手数据，具体涵盖媒体报道、已公开及未公开的警方记录。数据采集采用两种方式：一是通过线上检索每日媒体报道中的车辆碰撞事故，二是获取警方记录。基于数据源的特性，本次采集仅记录了有限的变量：事故总数量、碰撞发生地点、引发碰撞的车辆，即涉事车辆及其碰撞对象（动物、人员或物体等），以及伤亡人数。本数据集收录了2020年3月24日至6月14日封控期内共计82天的道路碰撞事故信息，数据源自媒体报道与警方记录。警方记录未提供致命碰撞事故的精准事发地点与涉事车辆类型，因此需从媒体报道中提取事故车辆的精准细节及碰撞发生地点。结合已获取的致命碰撞事故事发地点的帕利卡层级（Palika level，地方政府单元）信息，可对所有事故案例进行全国范围的空间制图。同理，在有必要的情况下，本研究会对两类数据源在同期的采集数据开展对比分析。