Suchergebnisse

Liveability is a concept closely related to the notion of well-being and refers to the environmental conditions that contribute to the quality of life, alongside individual features. Subjective and objective measurements of liveability are both of considerable practical and theoretical importance. A survey is conducted in this paper by which individuals tend to shape their preferences according to six factors describing various aspects of living conditions: (1) home, (2) neighbourhood, (3) transport, (4) entertainment, (5) services and (6) work. The survey data helps us to work out some indicators representing the perceived liveability in the targeted areas. A linear mixed model is used to explore possible relationships between objective factors and perceived liveability. A model-based estimate of liveability index can be then calculated for each non-sampled individual based on his/her socio-demographic characteristics and area of living.

Intro -- Preface -- References -- Organization -- Contents -- Urban Systems Modelling -- Towards an Agent-Based Simulation of Housing in Urban Beirut -- 1 Introduction -- 2 Background and Related Work -- 3 Abstract Model -- 3.1 Locations: City Structure and Economic Dynamics -- 3.2 Agents: Residential Mobility and Cultural Exchange -- 4 Exploratory Results -- 4.1 Experiment 1: Impact of Refugee Influx -- 4.2 Experiment 2: Impact of Ongoing Migration -- 4.3 Experiment 3: Interventions -- 5 Summary and Future Work -- References -- Simulating Urban Growth with Raster and Vector Models: A Case Study for the City of Can Tho, Vietnam -- 1 Introduction -- 2 State of the Art of Urban Growth Models -- 3 Case Study: The City of Can Tho -- 3.1 The City of Can Tho -- 3.2 The 2020 Local Urban Masterplan of Can Tho City -- 3.3 Description of Data -- 4 Raster Model -- 4.1 Model Description -- 4.2 Model Dynamics -- 4.3 Results -- 4.4 Model Calibration -- 5 Vector Model -- 5.1 Hypotheses (based on ) -- 5.2 Model Description -- 5.3 Model Dynamics -- 5.4 Results -- 5.5 Calibration and Validation of the Models on Can Tho Data -- 6 Comparison and Discussion -- 7 Conclusion -- References -- Integrating Behavior and Microsimulation Models -- 1 Introduction -- 2 The Scenario: Modeling the Aftermath of a Disaster -- 3 Behavior Models -- 3.1 Health Behavior Models -- 3.2 Belief-Desire-Intention Model -- 3.3 Cognitive Architectures -- 3.4 Reinforcement Learning-Based Models -- 4 Agent Design and Behavior -- 4.1 The Synthetic Population -- 4.2 Integrating the Behavior and Microsimulation Models -- 4.3 Experiments and Results -- 5 Conclusion -- References -- Agent-Based Modelling for Urban Planning Current Limitations and Future Trends -- 1 Introduction -- 2 Current Limitations in Urban Modelling -- 3 Key Challenges for Urban Modelling.