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This paper aims to examine the socio-spatial transformation of earthquake-affected neighbourhoods as a setting for understanding post-disaster recovery trajectories of people, their opportunities for achieving housing recovery and their housing recovery outcomes.

Adopting a case study approach, this paper focuses on two neighbourhoods located in old urban areas of the city of Bhuj, India. The authors map the transformation of the built environment from before the earthquake, immediately after the earthquake and 10 years after the earthquake. While explaining the morphological changes of the built environment, the authors examine the associated changes in the social fabric of the neighbourhoods by explaining who stayed in their neighbourhoods, who moved out or moved in and who were displaced after the earthquake.

The authors explore the role of post-disaster public policies, including urban planning, in these changes and in shaping the opportunities of households and individuals for achieving recovery. These policies are compared and contrasted with other urban disaster responses to provide a better understanding of the possibilities of achieving more just recovery outcomes.

This paper contributes to the scant literature on post-disaster planning in cities of developing countries.

One of the key elements contributing to successful post-disaster project teams is individual competence. Each project participant brings his or her own knowledge, experience and ideas to the collective. The kind of chaotic and fragmented environment that is common in post-disaster scenarios presents specific barriers to the success of projects, which can be mitigated by ensuring that staff members possess competencies appropriate for their deployment to particular contexts. The paper aims to discuss these issues.

The study utilizes a mixed-methods approach, incorporating unstructured interviews to extract key factors of competence, project barriers and strategy, and a subsequent questionnaire survey, designed to quantify the various elements. Interviews were undertaken and analysed using a cognitive mapping procedure, while survey data were processed using SPSS. The data were then utilized in the development of a software prototype using Design Science Research methodology, capable of modelling the deployment of staff under various disaster scenarios.

Analysis of the survey and cognitive mapping data, in conjunction with relevant established frameworks, has allowed the classification of relevant competency elements. These elements have subsequently been measured and modelled into the competency-based tool and developed into a working prototype.

The developed system offers novel disaster competency assessment criteria. The system contains a variety of real-life scenarios derived from extensive data collection. These multi-hazard scenarios are embedded with knowledge and competency valuation criteria that can facilitate actors to assess their team’s knowledge based on selective scenarios. In disaster response, time is a critical element, and this tool assists decision makers. It can enable disaster response actors to evaluate and assemble the appropriate personnel to deploy into disaster areas and into specific types of disaster environment.