This study applied GIS-based statistical analytic techniques to investigate the influence of accident Severity Index (SI) on temporal-spatial patterns of accident hotspots related to the specific time intervals of day and seasons. Road Traffic Accident (RTA) data in 3 years (2015 − 2017) in Hanoi, Vietnam were used to analyze and test this approach. Firstly, the RTA data were divided into four seasons in accordance with Hanoi's weather conditions and the time intervals such as the daytime, nighttime, or peak hours. Then, the Kernel Density Estimation (KDE) method was applied to analyze hotspots according to the time intervals and seasons. Finally, the results were presented by using the comap technique. This study considered both analyses with and without SI. The accident SI measures the seriousness of an accident. The approach method is to give higher weights to the more serious accidents, but not with the extremely high values calculated on a direct rate to the accident expenditures. The results showed that both analyses determined the relatively similar hotspots, but the rankings of some hotspots were quite different due to the integration of SI. It is better to take into account SI in determining RTA hotspots because the gained results are more precise and the rankings of hotspots are more accurate. From there, the traffic authorities can easily understand the causes behind each accident and provide reasonable solutions to solve the most dangerous hotspots in case of limited budget and resources appropriately. This is also the first study about this issue in Vietnam, so the contribution of the article will help the traffic authorities easily solve this problem not only in Hanoi but also in other cities. ARTICLE HISTORY

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This study aims to explore the applications of Geographical Information System (GIS) technology in managing and analysing the railway networks in Vietnam in a scientific and rational manner, developing the railway industry in a sustainable manner to keep pace with the development speed in the region and in the world. A process of building a GIS project and designing a geodatabase for a GIS project was proposed. From that point, it is suggested to build an experimental database for the railway networks of Vietnam through ArcGIS software 10.2. After that, the authors explored some typical applications of GIS technology for railway network management such as management, safety and security, and selecting optimum routes. The results showed that GIS application in managing railway system brings lots of benefit to not only in the railway sector but also in the transportation field.