|
The purpose of this study was to explore the public visual preference
to different physical attributes of Yangmingshan National Park and to
establish the visual preference predicting model. First, the area of
Yangmingshan National Park was divided into scenic units according
to mount ridge, cordillera and roadway, and then picked up 50 scenic
units of high accessibility. The scenic quality inventory and evaluation
chart of VRM(U.S.D.I., B.L.M., 1980) was used to investigate the physical
attributes including landform, vegetation, water, color, influence of adjacent
scenery, scarcity and cultural modifications. The surveyors were five graduate
students with landscape planning background. And, the public visual
preference was tested by color photographs photoed from the scenic units.
The SBE method was used to convert the public preference values to
the Scenic Beauty Estimates of every scenic units. ANOVA , correlation
and regression analysis were used to test the relations between public
preference and environment physical attributes, and then establish the
scenic beauty predicting model.
The findings are summaried as follows:
1.The three physical attributes, which include landform, vegetation and
cultural modification, would influence the public visual preference. Though
water, color, the influence of the adjacent scenery and scarcity do not have
significant influence.
2.Generally speaking, those units ranking high possess high SBE value
with those influential attributes.
3.In the established regression predicting model, cultural modifications,
landform and vegetation have most influence to the public preference
according to their extent of influence.
|