The construction of a guiding methodological framework for local sustainability assessment is a key to achieving a sustainable future. This study develops an approach to local sustainability assessment (ALSA), a methodological framework that facilitates the formulation, selection and prioritisation of key indicators to guide the assessment of city sustainability at a local level in Middle Eastern cities. Based on a literature review, this research devised a methodological framework, ALSA, which is a combination of the Commission on Sustainable Development’s (CSD)Theme Indicator Framework (2001) (themes, sub themes and indicators) and a Goal-Based Framework (indicators that most directly reflect the issues of a case study and its local communities and stakeholders). This combination framework is shown to be more appropriate in this instance than other types of frameworks, in terms of overcoming some inherent weaknesses, leading to the adoption of a top-down / bottom-up approach. Such an approach is shown to be the best way of developing indicators which are (top-down) scientifically valid and generic with (bottom-up) stakeholder and local communities needs. The ALSA methodological framework involves four steps, which are: issue identification, objective formulation, indicator formulation and indicator selecting and ranking. The first set of proposed indicators contained 98 indicators. This set of proposed indicators was revised and analysed by means of a series of shared ideas from literature and through consultation with experts from specific areas, using a workshop format. This revision stage was used to reformulate and select valid and useful indicators (comparable, measurable, and sensitive). The second set of valid and useful indicators (after the first revisions) contains 57 indicators. The indicators were ranked on the basis of priority to identify a final set of indicators that cover the four dimensions of sustainability, which are defined within this work as environmental, social, economic and institutional. The evaluation (SWOT analysis) of this framework was examined during this study. The city of Hilla, Iraq, was selected as a case study to prove the applicability of the ALSA methodological framework in a real world case study. It is argued that this study is pioneering in adding knowledge and understanding of the development of a methodological framework to provide local sustainability indicators in a post-conflict, Middle Eastern city in an oil-rich country. It is concluded that the ALSA methodological framework provides an efficient and rigorous approach for the formulation, selection and prioritization of key indicators that will measure and encapsulate the essence of a sustainable city and could help Middle Eastern cities achieve higher levels of progress towards sustainability in practice.

Water shortage issues have been growing concerns in many cities around the world in recent years, especially in Eastern cities of Australia, which is the driest continent on the earth. The aim of this PhD thesis is a development of a model to study the use of waste incineration energy supplemented by alternative energy to power seawater desalination. It is to aid the freshwater supply of a drought stricken city in Eastern Australia. My work contributes to a development of efficient model in a simpler understandable way to reduce efforts required for modelling complex multi domain problems. This research is motivated by the successive severe drought conditions that affected many Australian cities in the past few years, compounded with an additional strain from a fast growing population. While we dump our waste into the Australian landscape, in more densely populated cities in Europe and Asia, the waste is incinerated to obtain thermal energy for various purposes. The waste is used as an energy source while at the same time reducing the amount of space needed for landfill. Seawater desalination has been uccessfully practiced for quite some time particularly in the Middle Eastern countries. To deal with increasing water shortage crisis, many cities around the world have opted or are considering seawater desalination to supplement their freshwater supply. The combination of both - waste incineration and seawater desalination - has rarely been studied. This is a twofold problem that requires modelling the problem of water demand and supply together with waste incineration to find a sustainable solution. This is a complex task. The effort needed for this can be reduced by using a modelling approach that is more efficient than the traditionally used statistical approaches. In this thesis, I present a comprehensive model developed using a dynamic system approach combined with artificial neural networks. It simulates water demand and supply as well as the possible amount of the desalinated water that can be produced using the energy from clean city waste incineration. This is done while taking in various influential factors including population growth and irregular weather patterns. This research comprises a literature review on seawater desalination and waste incineration, the establishment of water demand and supply dynamics of Gold Coast City as my case study and identifying any modelling difficulties that need to be overcome. This is followed by the development of a comprehensive model and its components, model calibration and simulation experiments. It was found that with the energy of waste incineration, up to 60% of the freshwater demand could be fulfilled by seawater desalination in a sustainable way.