For any appraisal model, thére are all sorts of the influence factors. These 
factors can be classified into two categories, such as, social factors and physical 
factors. For the regional factor, most of the appraisal models consider as a social 
factor. Economic factor and political factor are also social factors. For the 
physical factors, most of the appraisal models consider the characteristics of the 
parcel of land (such as, area, width, depth, shape, location, and terrain), the adjacent 
to other land use type (such as, distance to transportation facility, distance to station, 
distance to grocery store, and distance to public facility), environment conditions 
(such as, public security, and social welfare), and land use conditions (such as, land 
use type, and land use intensity). 
Due to the huge demand in data, it is very difficult to collect, manipulate, and 
analyze with the tradional appraisal models. Then, an appraiser can not have all 
the appraisal data required to condust appraisal. It is a great shortcoming of the 
traditional appraisal procedure. Consequently, the appraiser values the land largely 
by personal experience and the appraisal results are not objective. This is another 
shortcoming of the traditional appraisal. 
Noting that the traditional appraisal methods are dependent upon people to 
collect and manipulate a large data set. However, with the help of a computer, 
appraiser now can easily manage the large datá set, and analyze it with great 
efficiency. It also can build an appraisal model with regression equations. It lays 
the-base of mass land appraisal. 
The objective of the paper by Su zue-chui, Lin uion-sin, liu chin-chin (1977) 
is to find the variables affecting the-land price. They found that the public facility, 
the land characteristics, the type of land use, and environment factor are important 
categories in determining the land price. They further showed that the distances to 
CBD, to the nearest grocery store, to the nearest park, the width of adjacent road and 
the distance to sewage disposal station are major factors. 
Chung mei-inn in " Building the Mass Land Appraisal Method Research | 
collects the physical factors and regional factors from the relative appraisal 
reference and arranges it. She used correlation analysis, step regression, and time 
series analysis and constructed a land appraisal model with sixteen variables. 
In this study, we use the model developed by Chung as the basic land 
appraisal model in this study. Next, we selects Taichung City as research area 
because it is convince to survey the physical conditions and to get GIS data of 
Taichung City. 
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International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B4. Vienna 1996