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Title: Modelling and matching : a methodology for complex ePlanning systems development
Author: Chen, Yun
Awarding Body: University of Salford
Current Institution: University of Salford
Date of Award: 2007
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The motivation for this research is concerned with the need for a specialised development methodology to address the problems peculiar to ePlanning system development domain. It is proposed that a combination of some Information System Development Methodologies (ISDMs) in terms of characteristics of ePlanning systems will increase the likelihood of the delivery of successful ePlanning systems. This thesis firstly presents a theoretical framework for ePlanning systems development based on the review and analysis of literature in the fields of urban planning and ISDMs. Then, the practical fieldwork is undertaken, which comprises three phases. The first phase involves the investigation of a specific work package (WPS) in European Union (EU) funded research project involving ePlanning, called Intelligent Cities (IntelCities). This preliminary analysis, together with the theoretical framework proposed at the beginning of the research, is used to inform the development of a hybrid methodology for ePlanning systems development. The resultant hybrid methodology is known as Modelling and Matching (M&M). The second phase of the fieldwork presents the application of M&M in another EU-funded project concerned with the development of ePlanning systems, called Virtual Environmental Planning Systems (VEPs). The final phase of the fieldwork illustrates the reflection and outcomes of this M&M application, which are assessed in terms of observation of M&M in use and effects it caused. The theoretical contributions of the research include: the deep investigation of ePlanning systems and ISDM theories within the context of ePlanning, and the theoretical framework for complex ePlanning systems development. Moreover, the framework is tested in practice. The hybrid methodology M&M and the reflections of its application in the real world make the practical contributions to knowledge.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available