Analyzing the relationships between the number of deaths in road accidents and the work travel mode choice at the city level

• We estimate the relationships between work travel mode choice and road fatalities.
• These relationships are evaluated on a macro-level scale (city-wide scale).
• We use generalized linear modeling (GLM) to estimate these relationships.
• The results can be used in urban planning processes.

Currently, several efforts and strategies are used to reduce deaths in road accidents. However, only a few studies have considered the effectiveness of work travel mode choice on the number of accident-related fatalities at the city level. This study introduces a city-level (across cities) model to estimate the relationships between the number of deaths in road accidents (as the dependent variable) and several work travel mode choice indicators, including walking, cycling and public transport (as independent variables). Generalized linear modeling (GLM), which is a common technique for modeling crash data, was used to estimate this relationship. Data sets from various European cities were used to develop this city level model. Overall, the percentages of the journeys to work by public transport, motorcycle, bicycle and foot were effective variables in the model.