Citation

Anoop PA, Aswathy TB, Rachana KB, Chandran V, Paul B. Int. J. Res. Eng. Technol. 2016; 3(4): 2468-2471.

Copyright

(Copyright © 2016, Fast Track Publications)

DOI

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PMID

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Abstract

Pedestrian exposure is defined as the exposure risk of pedestrians with collision with motor vehicles. It is one of important factors influencing pedestrian crashes. Because pedestrian exposure or pedestrian volume counts are not readily available, population density is usually used as a substitute in pedestrian crash prediction models. Unfortunately, population density is not a good replacement for pedestrian exposure because it does not account for the amount of walking people do. This study investigates the relationship between the pedestrian exposure and different traffic parameters in few junctions of Thrissur city. Thrissur is one of the few cities of India with connections to other parts by all major modes of transport like road, rail, air and water. When large amount of people use roads, the environment and operating vehicle needs to be safe and pedestrians are not injured or killed. For making roads of Thrissur city safer, it is also required that, certain relations are derived, which connects the pedestrian accidents to different traffic and geometric factors such as lane width, median width and shoulder width. Linear regression modeling is used to find out the significance of these factors in pedestrian crashes. Based on the identification of these factors, the necessary remedial measures to reduce the pedestrian crashes, typical for the Thrissur city can be formulated. This study also suggests extra improvement in pedestrian facilities for the areas of high pedestrian exposure

Keywords: Pedestrian exposure, Accident prediction, SPSS, Linear regression, Pedestrian crash

Language: en