1 Introduction     In order to help us understanding river landscape better and create value as urban river landscape resources, we need more objective and quantitative cognition. Therefore we dedicated to make a Urban planning·Physical evaluation·Psychological evaluation (Up·PHe·PSe) synthetic evaluation system(SES) to describe the river environment more precise and to provide solid foundation for formulating of urban planning.
 2 Outline of the stduy     As a set-up step, in this study, we calculated land usages around the river, and defined five physical quantitative evaluation indexes (PHqi), such as OA, OO, OG, SFD, VMR, to acquire PHe values, conducted psychological experiment about the same photos to acquired PSe values, and then analyzed correlation coefficients among the three parts of SES. After validity of PHqi being confirmed, we also tried to make a predicting model to forecast satisfaction of landscape by PHe values.
 3 Outline of the subjects     In this study, a city river space of Shincheon in Daegu city is investigated as a case. We took 28 photographs of the scenes of river-scape following the stream at viewpoints that set at the center of 14 main bridges on Shincheon, towards upstream and downstream respectively, to acquire PHe values and PSe values. Also, a range of 100 meters from the river boundary of the two sides was selected as study object of a land usage.
 4 Conclusion     Major findings are as follows:
 1) The values of AU are shown that all the 13 sections have large area occupancy of NG, especially section 1 of upstream and section 11~13 of downstream. R2^nd-7 is also occurrence of almost every section, while R2^nd-15 is mainly occurrence of section 1~7. R3^rd is mainly occurrence of section 7~8, which are the central area of Daegu city.
 2) The values of PHe are shown that although the values of OA and OG show similar ranges and mean values, OA of location G~J which are located in city central area are higher than both ends, while OG has contrary tendency. SFD and VMR also show similar tendency, but OO show none distinct tendency.
 3) All the values of PSe show different tendencies of city central area and both ends, while discrepancies still exist between upstream group and downstream group. Factor analysis of psychological evaluation scores are also calculated, five factors are called as Pleasantness, Openness, Complexity, Constructiveness, Green-visibility.
 4) Comparing with the correlation coefficients among values of PHe, PSe and Up, PHe values have more powerful correlation with both PSev and Up. PSe values have certain relationship with land usage or landscape elements, but the corresponding relationship is more significant with PHqi, excepting OO. Therefore, it can be inferred that PHqi certainly have validity of illustrating river landscape and could serve as bridges to connect PSev with AU.
 5) After validity of PHqi being confirmed, we also try to make a predicting model to forecast satisfaction of landscape by PHe values. The results are shown as Table 7. Although OO has lower correlation coefficients with other PSe and Up values, it is selected as an explanatory variable of predicting formulation of openness, which means that OO also has certain power as an PHqi.

 According to the results, we especially emphasized on the function of PHqi that serving as bridges to connect the PSe with Up, and tried to quest for concrete theoretical foundation for urban planning and making urban planning more acceptable in future by developing the adhibition of PHqi as urban planning indexes.

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