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Intro -- Preface -- Contents -- Contributors -- 1 Introduction: Overcoming Limitations of Urban Systems Models and of Data Availability -- Abstract -- 1 Background -- 2 Quality and Availability -- 3 Scale -- 3.1 Granularity of Data -- 3.2 Focus: The Model as Simplification of the Complex System -- 4 Time -- 4.1 Timeliness of Data -- 4.2 Dynamic Time Scale of a Model -- 5 Quantity of Data -- 6 The Present Volume -- References -- 2 Combining Agent-Based Modeling with Big Data Methods to Support Architectural and Urban Design -- Abstract -- 1 Introduction -- 2 Combining Big Data and Agent-Based Modeling for Urban and Architectural Design -- 2.1 Agent-Based Modeling -- 2.2 Big Data Methods -- 2.3 Combining ABM with Big Data Methods -- 3 Conceptual Case Study 1: Optimizing Inner-City Pedestrian Areas in Multi-level City Centers Using Big Data Methods -- 3.1 Problems -- 3.2 First Part of the Solution: Big Data -- 3.3 Second Part of the Solution: Agent-Based Modeling -- 3.4 A Big Data Challenge: Data Availability -- 4 Conceptual Case Study 2: Optimizing Current Office Designs -- 4.1 Problems -- 4.2 First Part of the Solution: Big Data -- 4.3 Second Part of the Solution: Agent-Based Modeling -- 4.4 A Big Data Challenge: Data Availability -- 5 Discussion -- 6 Conclusion -- References -- 3 Urban Development Simulator: How Can Participatory Data Gathering Support Modeling of Complex Urban Systems -- Abstract -- 1 Introduction -- 2 Two Ways of Data Gathering: Statistical versus Participatory Approaches -- 2.1 Common Approach: Analyses of Existing Statistical Data for Simulating Agent Behavior -- 2.2 New Approach: Data Gathering through Citizens' Participation Using an Online Questionnaire -- 2.3 Implementation -- 2.3.1 Technical Survey-Infrastructure -- 2.3.2 Results -- 3 Discussion and Conclusion -- References.