Modelling and matching : a methodology for complex ePlanning systems development

The motivation for this research is concerned with the need for a specialiseddevelopment methodology to address the problems peculiar to ePlanning systemdevelopment domain. It is proposed that a combination of some Information SystemDevelopment Methodologies (ISDMs) in terms of characteristics of ePlanningsystems will increase the likelihood of the delivery of successful ePlanning systems.This thesis firstly presents a theoretical framework for ePlanning systemsdevelopment based on the review and analysis of literature in the fields of urbanplanning and ISDMs. Then, the practical fieldwork is undertaken, which comprisesthree phases. The first phase involves the investigation of a specific work package(WPS) in European Union (EU) funded research project involving ePlanning, calledIntelligent Cities (IntelCities). This preliminary analysis, together with the theoreticalframework proposed at the beginning of the research, is used to inform thedevelopment of a hybrid methodology for ePlanning systems development. Theresultant hybrid methodology is known as Modelling and Matching (M&M). Thesecond phase of the fieldwork presents the application of M&M in another EU-fundedproject concerned with the development of ePlanning systems, called VirtualEnvironmental Planning Systems (VEPs). The final phase of the fieldwork illustratesthe reflection and outcomes of this M&M application, which are assessed in terms ofobservation of M&M in use and effects it caused.The theoretical contributions of the research include: the deep investigation ofePlanning systems and ISDM theories within the context of ePlanning, and thetheoretical framework for complex ePlanning systems development. Moreover, theframework is tested in practice. The hybrid methodology M&M and the reflections ofits application in the real world make the practical contributions to knowledge.

Level dc:type.qualificationlevel

Doctoral (Level 8)

Year dc:date.issued

2007

Author dc:creator

• Chen, Y

Language dc:language

en

Identifier

oai:salford-repository.worktribe.com:1337231

OAI identifier oai:identifier

oai:salford-repository.worktribe.com:1337231