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Historic centres are highly regarded destinations for watching and even participating in diverse and unique forms of cultural expression. Cultural tourism, according to the World Tourism Organization (UNWTO), is an important and consolidated tourism sector and its strong growth is expected to continue over the coming years. Tourism, the much dreamt of redeemer for historic centres, also represents one of the main threats to heritage conservation: visitors can dynamize an economy, yet the rapid growth of tourism often has negative effects on both built heritage and the lives of local inhabitants. Knowledge of occupancy levels and flows of visiting tourists is key to the efficient management of tourism; the new technologies—the Internet of Things (IoT), big data, and geographic information systems (GIS)—when combined in interconnected networks represent a qualitative leap forward, compared to traditional methods of estimating locations and flows. A methodology is described in this paper for the management of tourism flows that is designed to promote sustainable tourism in historic centres through intelligent support mechanisms. As part of the Smart Heritage City (SHCITY) project, a collection system for visitors is developed. Following data collection via monitoring equipment, the analysis of a set of quantitative indicators yields information that can then be used to analyse visitor flows; enabling city managers to make management decisions when the tourism-carrying capacity is exceeded and gives way to overtourism.

This paper presents the result of the analysis of the data gathered from 20 Role Models (RM) case studies regarding their successful heritage-led rural regeneration models. For the study and comparison of the narratives of these Role Models two tools were used: the Community Capitals Framework, which studied the transference of capitals in each process and the identification of six Systemic Innovation Areas that allow this capital transference. A multilevel repository of best practices has been developed allowing the identification of common features, mechanisms for mobilisation of capitals and required resources that will facilitate the replication in other rural areas. The results of this work support the acknowledgement of the contribution of culture, together with cultural and natural heritage, to economic growth, social inclusion and environmental sustainability in rural areas reinforcing the role of culture as the fourth pillar of sustainable development.

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During last decades, the international community has become aware of the need to adapt to the effects of climate change, as the sensitivity of natural and human systems gained relevance. Europe is one of the most urbanized regions, accounting for a 73% of people living in urban areas. This share, together with the increase of urban land take, has concentrated the fight against climate change in cities, which are considered as one of the most vulnerable areas. European cities are characterised by a wide range of cultural heritage, which is commonly located in what is defined as the historic city. In order to protect urban heritage from a changing environment, emphasis should be given to the integration of conservation management and urban planning strategies, within wider goals of local sustainable development.Historic cities have a great potential in contributing to local economy and enhancing investment climate. Modern conservation strategies need to address a balance between urban growth and quality of life in a sustainable way. They should match the interrelationships of existing building stock, spatial organization, natural characteristics and social, cultural and economic values. Furthermore, the need to address a new generation of strategies, adapted to new climatic scenarios, should be considered as a priority for an effective management of the whole city. The proposed paper presents research results of the ADVICE project, based on a multiscale approach for the management of climate change impacts on cultural heritage located in the urban context. Vulnerability is addressed for different types of heritage, both at urban or building scale, considering their singularities as well as the context in which they are included. This will permit addressing the overall urban scale, together with data at structure level. Adaptive measures in general can be of a preventive character and improve resilience yet they can also offer preparative support when dealing with the anticipated effects of climate change and extreme events. In order to be effective, they need to be addressed according to the typology of object to be protected and to the scale of the impact or disaster they are facing. Vulnerability mapping is one of the first steps in clarifying the challenges which climate change pose for a city and its stakeholders. Assessment of climate change impacts and vulnerability vary widely, depending on the subject, time frame, geographic coverage and purpose of the assessment. KPIs are therefore needed to address the overall as well as the specific vulnerability and exposure for risk scoring, in order to propose effective adaptive measures.