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  • ACRS 1999


    GIS
    A Study on Determination of Proper Service Level of National Spatial Data Infrastructure Using Activity-Based Approach

    3.3. Overall Structure of the Method
    Overall structure of the method proposed in this paper consists of 4 steps (Fig.1)
    1. Modeling Activities and requirements for information of private companies
    2. Surveying and modeling demands for spatial data
    3. Surveying and modeling costs of creating spatial data
    4. Modeling spatial data market and estimating economical benefit of spatial data infrastructure
    From next section, the authors describe each of the above procedures.



    Fig.1 Structure of whole method

    4. Modeling Activities and Requirements for Information of Private Companies
    As a first step of estimating demands for spatial data, in this research, models are developed, describing standard business activities of various kinds of private companies together with their requirements for information.

    To develop such models, the most straight-forward way is to cover all business activities by visiting each office and watching business activities whole day, though it is not feasible at all. So, in this research, the author introduces "Activity Domain Analysis" (ADA) help develop a model of activities of organizations with requirements for information of each activity using existing documents as references.

    After developing approximate model of activities of companies, the model is to be checked through interviews with businesspersons who understands actual structure of the business.

    4.1. Activity Domain Analysis (ADA)
    ADA is a method to extract and classify activities with its information usages according to the purposes of each activity. ACTIVITY in ADA is defined as a group of sequential activities designed to achieve some goal. An assumption underlying this method is that purposes of each activity will not change drastically, even if styles of activities change with technical improvement like informational revolution. Thus ADA can be considered as a method of describing and modeling activities, which can easily take various changes especially in information technologies.

    In ADA hierarchical descriptions of activities are made; from activities with general purposes controlling whole activities of people or organizations to subpurposes in order to achieve general purposes. So, ADA can capable to describe largescale and complicated activities.

    On the other hand, when arranging information items required by activities, it is necessary to describe and assemble relations between information items after extracting them. In ADA, required information is described as Application Schemas which can represents usages of information and conceptual models in each activity systematically. .

    The followings are the detailed procedures of an ADA.
    • Extract subjects of each business process (These subjects are called as ACTORs)
    • Extract purposes of daily business activities of each ACTOR. (The activities grouped under the same purpose are called as ACTIVITIEs)
    • Disaggregate ACTIVITIEs into more detailed and smaller items (called as SUB-ACTIVITIEs. Each SUB-ACTIVITIEs are for the "sub-purpose" of the "parent" purpose.)
    • Extract requirements for information in each SUB-ACTIVITY. (These requirements are called as APPLICATION-SCHEMEs)
    • Classify SUB-ACTIVITIEs which have similar APPLICATION-SCHEMEs
    • Integrate APPLICATION SCHEMEs of typified SUB-ACTIVITIEs
    Fig.2 shows the structure and example of ADA.





    Fig.2 Structure and example of ADA

    4.2. Confirming ADA Models by Interview
    After developing initial model of business processes using ADA, the model is corrected and confirmed by interviewing with persons who are in charge of actual activities described in the model.

    The author considered the concept of ADA as difficult to understand for business persons. When making interviews, the model derived from ADA is converted as work flow chart which is wellknown for businesspersons.

    5. Modeling Demands for Spatial Data
    After developing models of business activities and information requirement, we must create a quantitative model of demands for spatial data.

    5.1. Survey on Demands for Spatial Databases
    To create demand model, firstly spatial information is to be chosen among all information required in business processes.

    After spatial information requirements are extracted, the following attributes of these requirements are surveyed with interviews or questionnaire surveys.
    • Category of required information (c.f. roads, sewers, etc...)
    • Required quality of information
    • Maximum investment for such information
    • Elasticity of maximum investment with changes in qualities
    Using these values, a quantitative model is developed.

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