The purpose of this paper was to classify areas demanding to be transformed to green spaces and evaluate their grades for urban park and green networks. The results of this study are summarized below; 1. The results of the classified green spaces in the research areas fall into three types including children parks, neighborhood parks, and public green spaces. The three types of green spaces were analysed with recreational indexes. The zones disturbing the green-networks were sorted out. These zones should be changed into a supplementary green spaces for improving the recreational functions in the city. 2. For urban park and green networks, distances between the parks and size of the parks were adopted as indices. Based on the index of distances between the parks, disturbing zones were evaluated with 3 grades. The first grade includes primary industrial complexes and housing complexes. The second grade was observed mostly in industrial complex areas. The third grade includes housing complexes. Based on the indexes of size of parks, disturbing zones were evaluated with 2 grades. In the case of grade I, it appeared in housing complex. In the case of grade II, it appeared in industrial complex. 3. Then, we prioritized the disturbing zones with severity in order to make supplementary green spaces. Through the process, the zones of the grade I for two each recreational index were evaluated to two grades. The analysis results of evaluated zones were that grade II appeared over industrial and housing complexes widely. Grade I appeared over housing complexes. 4. It is necessary that the grade of disturbing zones should be considered as an order to make green spaces to supplement a green-network. For this, we formed a basic frame of a green-networks in Dalsu-Gu and placed the disturbing zones on the basic frame of a green-network. Consequently, The results were that the green-networks in Dalsu-Gu was composed on four green-network axes and its shape mirrored a cruciform (+) of northwest$leftrightarrow$southeast direction and southwest$leftrightarrow$northeast direction.