| Summary: | Unavailability of information about the bike lane convenience in Gadjah Mada
University campus is the background of this research. On the other hand the
availability of small format aerial photography (SFAP) can assist in providing
information about the parameters that affect the convenience of the bike lane.
Based on these facts, this research goal is to determine the interpretation accuracy
of parameters of the bike lane convenient that can be acquired with SFAP which
then generates a map of bike lane convenient.
This research reviewing small format aerial photography capabilities in providing
information on the six parameters that influence the cycling convenient. Four of
which can be extracted by SFAP using visual interpretation method i.e. the
presence of vegetation shade with 98.0392% accuracy of interpretation, the
presence of a bike lanes marker on second with 81.3725% accuracy of
interpretation, the existence of side barriers in the third with 68,6725% accuracy
of interpretation, and the density of traffic on the last thread with 54.9020%
accuracy interpretation. While the other parameters, namely bike lanes relief and
the relative position of a motor vehicle is extracted through a field survey.
Once the model is developed, it�s known that there is 32 bike lanes have very low
levels of convenient, 43 bike lanes have low levels of convenient, 44 bike lanes
have middle levels of convenient, 54 bike lanes have high levels of convenient,
and 31 bike lanes have very high levels of convenient. This data is then visualized
in map to be easily understood by the map user.
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