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Assessment of Pedestrian Level of Service for Mixed Lane


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1 S.G.S.I.T.S., Indore, India
     

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The objective of the present study is to carry out the pedestrian level of service on the mixed lane urban road sections and to develop condition prediction model for mixed lane for the purpose of improving the serviceability of mixed lane and identifying factors which affect pedestrian LOS at mixed lane. The factors fall into three main categories, pedestrian factors, crosswalk factors and roadway factors. This analysis was done based on Highway Capacity Manual (HCM) 2010. The PLOS model was developed using multiple linear regression analysis. In order to determine PLOS, a set of data were collected using a video graphic survey. From this study, it is found that, pedestrian flow, pedestrian speed, pedestrian holding area, pedestrian crossing time, vehicular traffic and road side parking are significant factor in the development of the PLOS model, and therefore influence the movement of pedestrians at mixed lane.

Keywords

Pedestrian Level of Service, Vehicular Traffic, Road Side Parking, Vehicle Pedestrian Interaction, Multiple Linear Regression Method.
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  • Assessment of Pedestrian Level of Service for Mixed Lane

Abstract Views: 257  |  PDF Views: 1

Authors

Anand Kumar Raghuwanshi
S.G.S.I.T.S., Indore, India
Vandana Tare
S.G.S.I.T.S., Indore, India

Abstract


The objective of the present study is to carry out the pedestrian level of service on the mixed lane urban road sections and to develop condition prediction model for mixed lane for the purpose of improving the serviceability of mixed lane and identifying factors which affect pedestrian LOS at mixed lane. The factors fall into three main categories, pedestrian factors, crosswalk factors and roadway factors. This analysis was done based on Highway Capacity Manual (HCM) 2010. The PLOS model was developed using multiple linear regression analysis. In order to determine PLOS, a set of data were collected using a video graphic survey. From this study, it is found that, pedestrian flow, pedestrian speed, pedestrian holding area, pedestrian crossing time, vehicular traffic and road side parking are significant factor in the development of the PLOS model, and therefore influence the movement of pedestrians at mixed lane.

Keywords


Pedestrian Level of Service, Vehicular Traffic, Road Side Parking, Vehicle Pedestrian Interaction, Multiple Linear Regression Method.