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This dissertation, Integrated Intelligent Management Platform for the Built Environment Incorporating Agent-based Simulation and Geographic Information System by Ho-yin, Lee, 李浩賢, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: In the area of indoor built environment modelling, the main focus was usually put on the accuracy of the modelled equipment within the given environment. There was not enough attention placed on the modelling of occupants inside the building, who represent the ultimate end?users and should be the most important element of an indoor built environment model. This deficiency was mainly due to the difficulties of modelling human behaviour with the traditional mathematical modelling methods usually adopted in the field. Therefore, in order to model the occupants more effectively, a more appropriate alternative approach is needed. This thesis examined the suitability of agent?based modelling and simulation (ABMS) for the indoor built environment. Philosophies of ABMS for the built environment were discussed, with the natural flow of progression stages in indoor built environment models outlined and explored, showing the need for switching a problem of simplicity to one in which a complex organised system was defined. Scenarios of single active agent case in ABMS for indoor built environment were used to demonstrate the effectiveness of this approach, with the finding that ABMS was versatile in modelling different types of occupants. It provided an illustration of the difference between people with different sensation time, and estimated energy savings between occupants with varied understanding of the environment. A classification scheme for different types of indoor built environment models with different levels of complexities was proposed and discussed. Based on the classification scheme, models with different levels of complexities were applied to the same building to explore the feasibility and practicality of the scheme. It was found that the simulation results provided insightful figures on probable energy consumption for different types of occupants and their crowd behaviour when interactions between occupants were considered. Findings included the amount of energy saved (around 10%) by a knowledgeable occupant over a less informed one, and the tendency for the majority (?66%) of occupants trying to save energy by assessing the environment themselves under different conditions. To further assist building management and the implementation of ABMS approach in built environment for simulations, the concepts of geographic information system (GIS) were modified for applications in the indoor environment, based on its similarity with ABMS for a grid?based environment. A prototype program was developed to test the applicability of the proposed concepts, with OPC connectivity for connections to real?world equipment. It was found that the idea of indoor GIS helps to solve problems such as the facility layout problem or the difficulties of information storage/retrieval in facility management, and this concept also integrated well with ABMS. With the successful modelling of different types of occupants and simulation results consistent with real data, it can be concluded from the work that ABMS is a promising approach for future generations of indoor built

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