Mohammadreza Koloushani, M. Ghorbanzadeh, E. Ozguven, Alireza Ermagun
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引用次数: 0
Abstract
ABSTRACT This research examines whether the distance between school locations and the Central Business District (CBD) is related to crash hotspots by employing spatial-statistical methods to cluster school-aged children involved in crashes. The findings indicate that (i) severe school-related crashes are significantly clustered away from the CBD as opposed to minor school-related crashes and (ii) severe crashes are more likely to happen around the schools despite the fact that estimated vehicle speeds at the time of crashes are lower in the vicinity of the nearest associated school. This helps identify locations adjacent to schools that pose a higher risk and offers transportation authority’s insight into the effectiveness of safety countermeasures within school zones.
期刊介绍：
Transportation Planning and Technology places considerable emphasis on the interface between transportation planning and technology, economics, land use planning and policy.
The Editor welcomes submissions covering, but not limited to, topics such as:
• transport demand
• land use forecasting
• economic evaluation and its relationship to policy in both developed and developing countries
• conventional and possibly unconventional future systems technology
• urban and interurban transport terminals and interchanges
• environmental aspects associated with transport (particularly those relating to climate change resilience and adaptation).
The journal also welcomes technical papers of a more narrow focus as well as in-depth state-of-the-art papers. State-of-the-art papers should address transport topics that have a strong empirical base and contain explanatory research results that fit well with the core aims and scope of the journal.
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