Modeling And Evaluation Bicycle Level Of Service For Links

In urban parts of the world, share of bicycle mode of transport is declining due to lots ofrndifficulties and dissatisfactions. These situations make the transportation systemrnunsustainable in the long run. In addition to this, currently, bicycle transport system has notrngiven more attention by the transport engineers and planers to improve the facility. rnThese days, there is no methodology widely used by engineers and planners in Ethiopia thatrnwill allow them to determine how compatible an urban roadway for allowing efficientrnoperation of bicycles. As efforts to make environment friendly, bicycle should have morernattention towards the improvement of facilities and number of users. Therefore, lots of timernand energy used to develop highly reliable Bicycle Level of Service (BLOS) model thatrnprovide the transportation professionals for a suitable technique systematically to assess thernbicycle service qualities. rnThis particular study focuses to develop new BLOS model and evaluate the performance ofrnthe bicycle transportation along the link that can used by transportation professionals andrnothers to evaluate the capability of specific roadways to accommodate both motorists andrnbicyclists. Because of the geographical nature of the area and the number of bicycle user, thisrnresearch selects Bahir Dar city as case study area. Thus, all data that are collected representsrnthe desired complexity and variability in the attributes of multilane roads in city of Bahir Dar.rnThose data for the model development obtained and collected from questioner, recordedrnvideos, and actual geometrical and traffic data measurements. rnThis research helps in assessing the factors affecting bicycle level of service through linksrnand evaluating a method to determine BLOS for links under heterogeneous traffic conditions.rnMoreover, the developed bicycle level of service model based on the users’ perceptions ofrnlinks. This model incorporates perceived safety, comfort, and operations of the bicycle users.rnA sensitivity analysis carried out to understand the effects of influencing variables on thernBLOS and the study identified passenger car unit has the highest influence on BLOS. rnFinally, the resulting model is highly reliable in its applications and has a high coefficient ofrndetermination value (Rrn2rn= 0.972) with mean observations and provides a measure of thernusers’ perspective on how well a link's geometric and operational characteristics meets thernsatisfactions of the users.

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