Aura Reggiani's research is mainly devoted to the analysis and
modelling of spatial-economic systems, at both the static and the
dynamic level, with particular reference to the issue of complex
networks. This study forms also the basis for the
elaboration of evaluation techniques and related economic
policy scenarios. In this context, the research themes of Aura
Reggiani can be summarized as follows:
- Complex networks
- Evolutionary theories and (non-linear) dynamic models
- Connectivity networks and Zipf's theory
- Resilience and vulnerability of socio-economic and transport
systems
- Spatial interaction models (at both the static and the dynamic
level)
- Behavioural choice models
- Transport models and the value of time
- Empirical applications to spatial-economic systems
- Project evaluation and economic policy scenarios
Aura Reggiani's current research is mainly oriented to the
exploration of interdisciplinary aspects in order to analyse the
evolution of complex networks. Her research themes can be briefly
described as follows:
- Theoretical-methodological study of the relationships between
behavioural network complexity and ‘topological' network complexity
in a spatial-economic system, by means of the analysis and
elaboration of non-linear dynamic models.
- Analysis of the spatio-temporal interrelations
– in a socio-economic network – between spatial
interaction, interconnectivity, and
evolutionary complexity, by considering the various
network topologies, for the different economic activities.
- Economic significance of the interrelationships
between Zipf's law/the rank-size rule, connetività and
network topologies/typologies.
- Resilience, vulnerability and network criticality.
- Analysis of a possible methodological framework able to unify
the different disciplinary perspectives (spatial-economic
theories, network theories), at both the static and the dynamic
level.
- Study of the accessibility function for the various
network typologies, by means of different (dis)utility/impedance
forms to mobility/connectivity.
- Empirical applications, with reference to the (spatial)
evolution of the transport and labour markets.
- Evaluation tools (e.g. by means of multicriteria
analysis), sensitivity analyses, and studies of related economic
policy scenarios.
