**3. Computational model of urban spaces**

Existing spaces of a city are classified into four classes shown in table 1, in which the necessary services are extracted to meet civil requests in a city. These services are designed in a scenario format that represent realistic patterns of urban life.

The spatial model of the four classes is based on a computational model of life events (Rucker, 2005) for predictability, including Class 01: uniform type, Class 02: queuing type, Class 03: random type, and Class 04: clustered type. The Class 01: uniform type spaces can be found in a structured form, making up a block of a city. The Class 02: queuing type is a linear space that flows in one direction. A plaza or agora can be considered as a Class 03: random type. Further, a random but focused space is classified as a Class 04: clustered type space.

Digital Amenities of a Smart City 49

Fig. 3. Smart services with values. (Uk Kim, ubiquitous amenities lab, Hongik University)

Fig. 4. Mixing and networking using ICT. (Uk Kim, ubiquitous amenities lab, Hongik

By analyzing the unit service models defined from the ubiquitous city research, the services that satisfy the needs of a target city are derived, in which they are evaluated and articulated for further implementation of a platform and rule engine. For the evaluation of services, the QFD(Quality Function Deployment) and SVD(Service Value Deployment) methods (figure 5) are utilized in order to prioritize the services based on space classes, customer

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requirements and technology properties.

Table 1. Urban space classification. (Uk Kim, ubiquitous amenities lab, Hongik University)

Based on the analysis of four urban space types, civil services are studied and organized in a series of events and respective actions. Four factors of figure 2 have been the starting point to conceptualize the digital amenity that provides citizens designed services in a smart city.
