In smart city, urban parking problems can be solved by sharing availability statuses of parking spaces and proper suggesting schemes. Most of the suggesting schemes recommend the nearest or the cheapest parking space from the driver's point of view. However, such a selfish decision may lead to low utilization. From the government's point of view, walking distance can be sacrificed to increase the utilization of parking spaces. In this paper, based on the open data of parking spaces in Tainan, several experiments are conducted to analyze the tradeoff between walking distance and utilization in proposed suggesting schemes.