Road crashes not only claim lives and inflict injuries but also create economic burden to the society due to loss productivity. Hence, many studieshave been done to identify the factors affecting the frequency and severity of crashes. However, very few, if any, study has explored the effect ofstreet pattern on injury risk in urban crashes. In this study, an attemptwas made to explore the effects of street pattern on injury risk in urbancrashes where street pattern has been classified into four categories: grid-iron, warped parallel, loops and lollipops, and mixed patterns. Besidesstreet pattern, other factors related to road features, drivers characteristics, crash characteristics, environment condition and vehicle attributes are also explored. City of Calgary is chosen as the case study area where reported crash data from the year 2003 to 2005 has been employed to investigate various factors using the logistic regression model. The result suggest that current popular patterns, including warped parallel design, are safer than conventional grid-iron pattern from a road injury risk perspective.
Abstract