Modelling and matching : a methodology for complex ePlanning systems development

Chen, Y

Abstract

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.

Citation

Chen, Y. Modelling and matching : a methodology for complex ePlanning systems development. (Thesis). University of Salford

• Thesis Type: Thesis
• Deposit Date: Aug 16, 2021
• Award Date: Mar 1, 2007