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This paper aims to offers an assessment of the current transformation process of Doha's historic centre, which has become a major focus of public development strategies. While the historic centre was neglected during most of the second half of the 20th century, recent public initiatives have been leading to new urban morphologies and typologies. In addition to the redevelopment of the historic market and the investments in museums, a large scale mixed use development, known as Msheireb project, has been launched, which will replace an entire district. The objective of this paper is therefore to clarify how these public initiatives are modifying existing urban structures and to which extent this spatial reconfiguration contributes to major revitalisation objectives, such as diversity, consolidation and identity. The methodologies include a GIS survey to analyse the shift in urban densities, land uses and typologies as well as a Space Syntax study assessing the various levels of spatial integration in the case of the Msheireb project.

Recent efforts to formulate strategies that will turn Qatar's capital city into a global hub have given rise to a debate about the morphological and functional composition of one of Doha's most prominent areas - West Bay. At the end of the 20th century West Bay, also known as Diplomatic Quarter, was chosen by public initiatives to become the new Central Business District of Doha. Today, the appeal of West Bay as a business hub is contested by other emerging urban centres – such as the highly integrated Al Sadd area, which has attracted a wide range of advanced producer service sectors. It is therefore the objective of this paper to investigate the spatial configuration of Doha's West Bay, which arguably lays the foundations for the socio-economic interdependencies necessary for its vitality and sustenance. In order to quantify its intrinsic urban complexities, Bill Hillier's space syntax methodology is applied, which elucidates, in various scales, global and local grid conditions, and thus can be used for assessments regarding the distribution of land use patterns and infrastructural networks.