  A significant number of those killed in traffic accidents annually refers to
pedestrians. most of these accidents occur when a pedestrian is going to pass
the street. One of the most hazardous areas for pedestrians crossing the street
is midblock crosswalks. These areas are often uncontrolled and there is no
separated phase for pedestrian crossing. As a result, using created gaps among
vehicles is often the only opportunity for pedestrians to cross the street.
This research aims to investigate effective factors on pedestrian gap
acceptance at uncontrolled mid-block crosswalks. In this regard, several
variables such as individual, environmental, and traffic variables were
considered and their related data were extracted by filming the location. from
video images, they were analyzed using logit regression model and the behavior
After extracting the data of pedestrian while he is crossing the street was
modeled as the probabilistic function of pedestrian gap acceptance. The results
illustrate that conflict flow rate, the temporal gap among vehicles, and driver
yielding in the face of vehicles are the most important effective factors on
pedestrian behavior. The other one is that the speed and type of vehicles do
not affect the pedestrian's decision about rejecting or accepting the gap. The
results also show that individual characteristics such as age and gender of
pedestrians do not make a significant relationship with pedestrian gap
acceptance.
