Nicola Camatti
Biographic Data
| ID | 4457191 |
|---|---|
| NAME | Nicola Camatti |
| GIVEN NAMES | Nicola |
| FAMILY NAME | Camatti |
| SIGNATURE | CAMATTI N |
| AFFILIATIONS | Ca' Foscari University of Venice |
| ORCID | 0000-0002-1899-2728 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Forecasting daily visits in Shanghai with Model combination and Telco big data
Analyzing and forecasting visitor flows has significant potential to enhance policy decisions, facilitate long- and short-term planning of local resources, and optimize tourism offerings. Leveraging Big Data in this context provides distinct advantages, particularly regarding real-time predictions. This paper proposes an econometric approach to account for uncertainty in the prediction model, a key source of forecasting errors. A description and …
Crowding-in and (temporary) crowding-out in Venice. The effect of cultural events on residents
Cultural events are endorsed in urban cultural policy for their economic role in supporting the tourism industry and their social role in strengthening community cohesion. Nevertheless, conflicts can arise between these two objectives, especially in cities already experiencing massive tourism regardless of the staging of major events. Taking Venice as a case study, we investigate the effects that different types of cultural events have on the rel…
Cultural heritage reuse applying fuzzy expert knowledge and machine learning: Venice’s fortresses case study
This paper presents a comparative analysis of two quantitative models for evaluating the reuse of cultural heritage, using fortified sites in a monofunctional city dedicated to cultural tourism, such as Venice, as a case study. The models explore three distinct reuse scenarios, assessing the appropriateness of each through a combination of fuzzy expert systems (FESs) and self-organising maps (SOMs). An FES acts as an expert-driven approach that f…
Mapping the exposure of tourism to weather extremes: The need for a spatially-explicit gridded dataset for disaster risk reduction
Tourism is a highly important economic sector worldwide, yet it is often less than optimally represented in terms of detailed spatial information. An accurate spatial representation of tourism can provide valuable insights into the spatial distribution of tourism vulnerabilities and exposure, allowing policymakers to make informed decisions and develop effective strategies for disaster risk reduction and climate change adaptation policies. Here, …
Multivariate assessment of metropolitan sustainability with a focus on demand and supply food aspects: Insights into the metropolitan city of Venice
According to the United Nations "World Urbanization Prospects 2018", more than half of the population lives in metropolises and estimates that in 2050 almost 70 % of the world's population will live in urban areas. The unstoppable growth, the complexity, and the challenges in promoting the sustainable growth of metropolitan areas have thus attracted increasing attention from researchers and policy makers in recent years. At the EU level, the rela…
Unesco World Heritage Site label and sustainable tourism in Europe: A user-generated content analysis
Officially branding local heritage through recognised labels is a strategy that regions can use to promote economic development. Regions increasingly seek more sustainable tourism development, which can be captured by the quality of local tourist service development. This paper examines whether the UNESCO World Heritage Site (WHS) label is associated with local tourism development of a higher quality and offers the first comparative study across …
Measuring daily tourism mobility spillover at the intra-metropolis level with mobile positioning data
Although tourism mobility spillover continues to be a key indicator for tourism management, more innovative research must be conducted at the micro level and high sampling frequency. Against the backdrop of an increasing number of global cities, in this paper, we evaluate the daily tourism mobility spillover inside a worldwide city of China: Shanghai. Based on the Granger causal network model and an original mobile positioning dataset, we analyse…
Integrating tourists’ walk and talk: A Methodological Approach for Tracking and Analysing Tourists’ Real Behaviours for More Sustainable Destinations
This study provides a methodological contribution in the analysis of tourists’ sustainable behaviour. Traditional methods encounter challenges in addressing the attitude-behaviour gap, prompting the need for new approaches. Using diverse big data sources, the paper introduces a novel methodology for analysing real behaviour patterns, extending Social Network Analysis tech-niques. The aim is to identify sustainable behaviours that ease overcrowdin…
Assessing the tourism sustainability of EU regions at the Nuts-2 level with a composite and regionalised indicator
Italian seaside destinations in comparison. The brand image assessment for destination branding co-creation
The purpose of this paper is to propose a methodology for the assessment of a destination's image on the web. The study builds up a picture of 26 Italian coastal destinations through indexes and highlighting the reputation of the tourism services (attractions, restaurants, and accommodation). This can be a useful tool for destination managers to help monitor their destination's online reputation and support the brand-building and management throu…
Integrating tourists’ walk and talk: A Methodological Approach for Tracking and Analysing Tourists’ Real Behaviours for More Sustainable Destinations
This study provides a methodological contribution in the analysis of tourists’ sustainable behaviour. Traditional methods encounter challenges in addressing the attitude-behaviour gap, prompting the need for new approaches. Using diverse big data sources, the paper introduces a novel methodology for analysing real behaviour patterns, extending Social Network Analysis tech-niques. The aim is to identify sustainable behaviours that ease overcrowdin…
Unesco World Heritage Site label and sustainable tourism in Europe: A user-generated content analysis
Officially branding local heritage through recognised labels is a strategy that regions can use to promote economic development. Regions increasingly seek more sustainable tourism development, which can be captured by the quality of local tourist service development. This paper examines whether the UNESCO World Heritage Site (WHS) label is associated with local tourism development of a higher quality and offers the first comparative study across …
Measuring daily tourism mobility spillover at the intra-metropolis level with mobile positioning data
Although tourism mobility spillover continues to be a key indicator for tourism management, more innovative research must be conducted at the micro level and high sampling frequency. Against the backdrop of an increasing number of global cities, in this paper, we evaluate the daily tourism mobility spillover inside a worldwide city of China: Shanghai. Based on the Granger causal network model and an original mobile positioning dataset, we analyse…
Assessing the tourism sustainability of EU regions at the Nuts-2 level with a composite and regionalised indicator
Italian seaside destinations in comparison. The brand image assessment for destination branding co-creation
The purpose of this paper is to propose a methodology for the assessment of a destination's image on the web. The study builds up a picture of 26 Italian coastal destinations through indexes and highlighting the reputation of the tourism services (attractions, restaurants, and accommodation). This can be a useful tool for destination managers to help monitor their destination's online reputation and support the brand-building and management throu…
Mapping the exposure of tourism to weather extremes: The need for a spatially-explicit gridded dataset for disaster risk reduction
Tourism is a highly important economic sector worldwide, yet it is often less than optimally represented in terms of detailed spatial information. An accurate spatial representation of tourism can provide valuable insights into the spatial distribution of tourism vulnerabilities and exposure, allowing policymakers to make informed decisions and develop effective strategies for disaster risk reduction and climate change adaptation policies. Here, …
Multivariate assessment of metropolitan sustainability with a focus on demand and supply food aspects: Insights into the metropolitan city of Venice
According to the United Nations "World Urbanization Prospects 2018", more than half of the population lives in metropolises and estimates that in 2050 almost 70 % of the world's population will live in urban areas. The unstoppable growth, the complexity, and the challenges in promoting the sustainable growth of metropolitan areas have thus attracted increasing attention from researchers and policy makers in recent years. At the EU level, the rela…
Unesco World Heritage Site label and sustainable tourism in Europe: A user-generated content analysis
Officially branding local heritage through recognised labels is a strategy that regions can use to promote economic development. Regions increasingly seek more sustainable tourism development, which can be captured by the quality of local tourist service development. This paper examines whether the UNESCO World Heritage Site (WHS) label is associated with local tourism development of a higher quality and offers the first comparative study across …
Measuring daily tourism mobility spillover at the intra-metropolis level with mobile positioning data
Although tourism mobility spillover continues to be a key indicator for tourism management, more innovative research must be conducted at the micro level and high sampling frequency. Against the backdrop of an increasing number of global cities, in this paper, we evaluate the daily tourism mobility spillover inside a worldwide city of China: Shanghai. Based on the Granger causal network model and an original mobile positioning dataset, we analyse…
Integrating tourists’ walk and talk: A Methodological Approach for Tracking and Analysing Tourists’ Real Behaviours for More Sustainable Destinations
This study provides a methodological contribution in the analysis of tourists’ sustainable behaviour. Traditional methods encounter challenges in addressing the attitude-behaviour gap, prompting the need for new approaches. Using diverse big data sources, the paper introduces a novel methodology for analysing real behaviour patterns, extending Social Network Analysis tech-niques. The aim is to identify sustainable behaviours that ease overcrowdin…
Crowding-in and (temporary) crowding-out in Venice. The effect of cultural events on residents
Cultural events are endorsed in urban cultural policy for their economic role in supporting the tourism industry and their social role in strengthening community cohesion. Nevertheless, conflicts can arise between these two objectives, especially in cities already experiencing massive tourism regardless of the staging of major events. Taking Venice as a case study, we investigate the effects that different types of cultural events have on the rel…
Cultural heritage reuse applying fuzzy expert knowledge and machine learning: Venice’s fortresses case study
This paper presents a comparative analysis of two quantitative models for evaluating the reuse of cultural heritage, using fortified sites in a monofunctional city dedicated to cultural tourism, such as Venice, as a case study. The models explore three distinct reuse scenarios, assessing the appropriateness of each through a combination of fuzzy expert systems (FESs) and self-organising maps (SOMs). An FES acts as an expert-driven approach that f…
Forecasting daily visits in Shanghai with Model combination and Telco big data
Analyzing and forecasting visitor flows has significant potential to enhance policy decisions, facilitate long- and short-term planning of local resources, and optimize tourism offerings. Leveraging Big Data in this context provides distinct advantages, particularly regarding real-time predictions. This paper proposes an econometric approach to account for uncertainty in the prediction model, a key source of forecasting errors. A description and …
Geography (8 works) · Tourism (8 works) · Diverse Aspects of Tourism Research (7 works) · Business (6 works) · Economic geography (5 works) · Economics (5 works) · Computer Science (4 works) · Destinations (3 works) · Digital Marketing and Social Media (3 works) · Political science (3 works)