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Is smart tourism something tourist destinations only talk about, or also really implement?

By Dejan Križaj, Miha Bratec, Peter Kopić and Tadej Rogelja, University of Primorska

The focus of the research is on the adoption and implementation of technological innovations to analyse the Smart Tourism projects implemented in Europe according to the stringent technological criteria of contemporary Smart Tourism definitions.

Smart Tourism followed in the footsteps of the earlier concept of sustainable tourism and quickly established itself as the reference adjective when discussing tourism in politics, economics, and academia. In the latter, the debate has been lively, and although there are many different conceptualizations, academics seem to agree that Smart Tourism is based on the use of novel technologies that improve the quality of visitor and local experiences, while enabling destinations to take steps towards achieving their sustainability goals. However, as it happened in the past with the term “sustainable”, the adjective “smart” seems to be heavily misused when describing the various transformations that tourist destinations and cities are currently facing. Mostly, it dominates the marketing discourse, with many destinations trying to use this “smart” concept because it gives them a competitive advantage over other tourist destinations based on uniqueness and differentiation.

Based on our study, the reality of developing smart solutions within these destinations is mostly still in its infancy. More specifically, we, in detail, analyse:

  1. What is the real content of the Smart Tourism projects currently implemented within Europe and supported by substantial EU (European Union) funding?
  2. What are the characteristics of the Smart Projects and what kind of technology solutions are used in them?
  3. Can we really see the rapid technological progress in tourism services that the marketers of Smart Destinations promise?
  4. What do the currently implemented projects tell us about the future of Smart Tourism and Smart Destinations?

Summary of key findings:

Our work differed from most methods used in other studies that rely on the construction of conceptual models, frameworks, or indicator systems based on the evaluation of Smart City or

Smart Tourism goals, statements, strategies, and initiatives. The presented study goes a step further and tries to understand which technological innovations exactly were adopted and how they contribute to projects’ smartness. In order to better distinguish between conventional and advanced, interconnected technology, we have placed a special focus on Smart Actionable attributes of the projects analyzed. From what we could perceive in the selected projects, four smart technology trends can be identified: 1) Connectivity and Big Data, 2) Connectivity and Intelligent Algorithms, 3) Big Data and 4) “smart” projects with mainly well-represented technology that does not exploit the Smart Actionable possibilities.

In our initial online resource search, we encountered the vast majority of projects that were touted as “smart” but did not address any of the newer aspects of ICT infrastructure, such as interconnectivity and interoperability of integrated technologies. They were therefore excluded from our study, leaving only 35 projects, which we analysed in detail and assigned to the four groups mentioned above. This confirms our preliminary findings that there is a lot of hype and little substance (e.g., smart washing) regarding Smart Tourism projects. This problem stems in part from the fact that there are different, everchanging definitions and meanings of the term Smart Tourism. Subsequently, different stakeholders and entities adopt different meanings and set different priorities based on their viewpoints and schools of thought.

See full paper: https://doi.org/10.3390/su131810279

Hindrances to Access to Housing in a Tourist City, pre- and post-COVID19: evidence from Barcelona

By Antonio Paolo Russo and Riccardo Valente, University Rovira i Virgili

This piece illustrates some of the early results from the study of Barcelona as an exemplary ‘overtouristed’ city in which access to affordable housing and its relationship with employment is at stake. Our insights seek to influence the debate about policy options for an inclusive port-pandemic recovery.

The SMARTDEST project (H2020 ref. 870753) focuses on forms of social exclusion emerging in the context of urban areas that are the hub of global mobilities, such as tourism.

Barcelona is one of the most celebrated examples of invention of a successful tourist city through urban planning, place marketing, cultural valorisation and innovative governance since the early 1990s; but also one that came to be subject to the highest level of tourism pressure, feeding a wide societal and political debate on social justice in the ‘overtouristed’ city. Besides, as a place increasingly dependent on tourism jobs and businesses (and especially so after the economic downturn of the 2008 financial crisis), Barcelona has been severely exposed to the next systemic crisis, that of the COVID-19 pandemic.

The key focus of the SMARTDEST case study in Barcelona is on housing affordability and its enmeshment with labour conditions in the tourist sector. The key assumption is that tourism growth produces benefits that are unevenly distributed across society and spatial scales, but it also entails social costs that affect long-term residents, for whom access to housing is becoming increasingly difficult, or tourism sector workers, that are more than others subject to precarious employment conditions and a high degree of ‘invisibility’ or informality.

Figure 1. Residential stability in the 73 neighbourhoods of Barcelona (2016-2019)

Our early results from a pre-pandemic analysis show how the progressive penetration of short-term rentals promoted via platforms like Airbnb is subtracting a sizable share of the housing stock from the long-term residential market. In our analysis, the spread of Airbnb accommodations during 2014-2019 period, as well as the levitation of housing prices and rental fees, were found to be associated with a reduction in the share of long-term residents (those who were living in the same neighbourhood for more than 5 years), an effect that is not significant in relation to the spread of the conventional accommodation supply. Discounting for other factors which may explain population change, we observe a high degree of residential instability in tourism-intensive neighbourhoods, with residents displaced to another neighbourhood or out of the city altogether (See Fig. 1).

We also looked at patterns of residential mobility among tourism workers between 2013 and 2019. Our analysis reveals that being employed in tourism-related sectors is associated with lower incomes and higher rates of precariousness compared to employments in non-tourism sectors. Such unfavourable labour conditions have a particular impact on female workers, that are more likely to be displaced out of Barcelona, while maintaining their main occupation in the city.

To conclude, affordable housing is a critical asset to ‘remain citizen’ in a tourist city like Barcelona, as is for many other cities that are studied in SMARTDEST. This seems to be increasingly a hindrance for vulnerable sectors of the population, and it is remarkable that the very model that feeds tourism growth also produces an engrossing share of precarious workers, those more likely to be affected by rising housing costs.

In the light of the above, pursuing the objective of reaching pre-COVID19 levels of tourism activity is likely to reproduce past exclusionary trends. If the global pressure on the housing market has only temporarily subsided (at the end of the summer season of 2021 evidence seems to point at a sharp reprise of the activity of short-term rentals), the situation of tourism workers and other vulnerable sectors has worsened substantially, because of high rates of unemployment. The post-pandemic future of Barcelona thus may a bleak one, in which social gaps are heightened and the very sense of social cohesion is at risk. In this sense, recovery efforts need to be based on a different approach to the planning and regulation of tourism mobilities and their local impacts, aligning with Sustainable Development Objectives like the reduction of social inequalities, which may imply steering away from a growth model which has shown all its limitations both in the pre-pandemic period and in its current developments.

1st SMARTDEST Scientific Workshop – Friday September 24th at 15:00-18:00 CET

The event has been organised in the framework of the SMARTDEST project by the Vienna University team led by Prof. Yuri Kazepov.

During the event, results achieved until now by the partnership will be presented and will be discussed among different experts, project partners and by some of our Advisory Committee members.

You can find the complete Workshop programme at the following link:

https://smartdest.eu/wp-content/uploads/2021/09/Smartdest_Scientifc_Workshop_24-9-2021-Programme-and-Abstracts.pdf

Interested academics and stakeholders are invited to register for the workshop at the following link

You can join the online workshop at the following link

Forecasting Tourist Mobility and Overcrowding thanks to Agent Based Models

By Itzhak Omer and Amit Birenboim, Tel Aviv University

Overcrowding is a main negative externality that is associated with tourism. However, data on street level crowding is usually not available for studying this phenomenon. Using Agent based modelling, we can generate synthetic data of tourist mobility that forecasts street level tourist congestion.

Agent-based models (ABM) enable reference to various individuals’ travel behaviour attributes and to the simultaneous effect of the street network structure and land uses on movement flows. In the Jerusalem case study, ABM is used to represent the different movement patterns of local residents and tourists, and the exposure / interaction between them at the street level. The ABM simulation is based on the following ‘basic’ attributes of agents’ travel behaviour that were found most relevant in previous studies:

 

(i) The attraction/obstruction level of land uses as a destination or as intermediate paths, with distinction between agent types (local residents versus tourists) in this respect;
(ii) Scale/radius for movement and sensitivity to distance: represents the maximal distance available for movement from origin to destination according to destination types and preferences of nearby destinations within this radius;
(iii) Personal status: represents socio-demographic properties, such as age and gender;(iv) Distance type: three types of agents were defined: metric, topological, and angular. Each agent type (local resident and tourist) chooses the relevant shortest path – in terms of metric, topological (the number of turns or direction changes), or angular (cumulative angular change), respectively – between origin-destination pairs.
The ABM was designed with the NetLogo (ver.5.3.1) environment and is associated to geographical layers within ArcGIS software (i.e., street-segment, land uses). Data model is enriched by quantitative data that was collected at the sub urban level such as socio-demographics at the census tract level.
In later stages of the project, the ABM is intended to be used as a decision supporting tool. Using the ABM we will generate forecasted /simulated movement patterns of local residents and tourists according to various scenarios that are related to tourist behavior and tourist-oriented plans or expected trends. Such use of the ABM may help forecasting the implications of changes in the volume and spatial distribution of hotel/Airbnb rooms on local residents-tourists exposure at the street level. The model will also assist to evaluate the implications of urban and infrastructure changes on car usage and walking behavior of various types of agents (e.g., local population, tourists) under different assumptions of technology adoption levels and pricing. Outputs will include, among other things, indices of inclusion and inequality.

Trends of European Regional Tourism: 2008 to 2018

Author: Anna Bornioli, Erasmus UPT

The SMARTDEST report published in September 2020 is a preliminary exploration of the dimension of tourism and related mobilities at regional level across the EU territory in the period 2008-2018 and of regional trends of social unbalances across the EU. To these aims, a series of indicators to describe key dimensions of mobilities and social unbalances were selected by the researchers across multiple sources (including Eurostat, Labor Force Survey, AirDNA). These have been mapped on the EU geography and discussed, and are being collected in a work-in-progress database, organised at regional (NUTS2) level, and available at https://doi.org/10.5281/zenodo.4058290 in its preliminary version. Although the analysis does not include 2020 trends, thus not focusing on the impact of Covid-19 pandemic on mobilities and social unbalances, several lessons relevant to the post-Covid-19 recovery can be learnt.

A collection of 53 maps was produced. The regional (NUTS2) scale of this analysis was dictated by data availability, as the majority of the related statistics are only published or reliable at this scale. As a consequence, this collection of maps gives a preliminary overview of the geographical trends, without focusing on territorial nuances. Nevertheless, urban trends of tourism and mobilities can already be observed, since NUTS2 regions including large cities generally correspond with their metropolitan dimension.

Here we summarise the main tourism trends looking at tourism stays and their evolution over time, tourism pressure and stress, and the international character of destinations.

 

Tourism stays in 2018

Tourism mobilities in absolute numbers in 2018 (Figure 1) were more intense in coastal regions, particularly in the (Western) Mediterranean arc; in mountain regions, especially in the Alpine arc; in highly urbanised regions, especially capital city regions. Trends of Short-Term Rentals (STR), a form of tourist accommodation that is not fully accounted for in official statistics, mirror the ‘official’ statistics on arrivals (Figure 2). STR stays are highest in coastal regions and urban regions, especially in the south of Europe, France, the UK, Iceland, and Denmark. These figures are possibly also influenced by national regimes of regulation.

 

 

Growth of tourism 2008-2018

There appears a clear outlook of sustained growth of tourism mobilities ‘landing’ on

European regions in the period 2008-2018, with very few exceptions (Figure 3). In absolute terms, it is especially Southern and Mediterranean regions, islands, and

capital regions that have seen the largest growth of arrivals at tourism accommodation establishments. The only regions that had a decrease of the number of tourism stays are the regions in light blue.

In relative terms, the picture presented offers a further piece of the puzzle (Figure 4): while the most mature destination regions continued to grow, there is also a process of ‘catching up’ of regions that were less attractive and that grew substantially in the 10-year period. The regions that are strongly above the European average are mostly located in Eastern Europe, the Coastal region of Croatia, Portugal, the UK, Benelux, and Iceland. Cities and urbanized (coastal) regions have also had a sustained dynamic of growth over the 2008-2018 decade. Among the capital regions, Amsterdam, Berlin, Brussels, Lisbon stand out.

 

Tourism stress and pressure

Tourism stress and pressure (overnight stays in relation to space or to the resident population respectively) have also increased over the reference period almost anywhere in Europe. In 2018, the number of overnight stays in tourist accommodation establishments in relation to the resident population (Figure 5) was especially high the East Alpine arc, coastal Croatia, Mediterranean island regions, capital city regions, coastal regions, and some of the less urbanised coastal and rural regions in Northern Europe.

 

International markets and potential vulnerability

The analysis also highlighted that some regions tend to be more reliant on international markets, having a large share of international visitors. These are large and smaller islands, border regions, but also Croatia, Baltic and Italian regions, among others (Figure 6). In addition, Iceland, the UK, Portugal, and Greece have become more reliant on international tourists since 2008.

These regions, being more exposed to international fluctuations, might be less ‘resilient’ to international crises such as the current covid-19 pandemic.

 

Conclusions

We identified the regions in Europe where pre-covid tourism was especially strong and where it was growing the most. These tend to be Mediterranean and Southern Europe regions, islands, and urban and capital regions. Subsequent analyses took a step forward and identified four typologies that illustrate different forms and degrees of attractiveness for tourists and related mobilities, based on the collection of maps presented here [link to https://smartdest.eu/a-typology-of-eu-tourist-regions-facing-social-inclusion-issues/ ].

typology of tourist regions

A typology of EU tourist regions facing social inclusion issues

By Antonio Paolo Russo, from Universitat Rovira i Virgili

As a first stage of the research approach of SMARTDEST, we have constructed a typology of European regions that illustrate different forms and degrees of attractiveness for tourists and related mobilities, and matched with a wide range of social indicators showcasing trends of social exclusion. The spatial patterns devised provide an interesting canvas to further examine how territorial structures, geographical specificities and policy regimes may play a role in explaining these variations, and inform postCOVID recovery towards policy reforms that bring forwards socially resilient tourist cities and regions.

As a first stage of the research approach of SMARTDEST, we have constructed a typology of European regions that illustrate different forms and degrees of attractiveness for tourists and related mobilities. This typology is then matched with a wide range of social indicators showcasing trends of social exclusion. The objective of this piece of research is to identify key inclusion challenges for groups of regions, having similar profiles in terms of their capacity and evolution to attract mobile populations. The spatial patterns devised provide an interesting canvas to further examine how territorial structures, geographical specificities and policy regimes may play a role in explaining these variations. This analysis refers to a context of steady intensification of tourism and international mobility that has characterised the last decades, to come to an abrupt halt with the sanitary emergency of COVID-19 in 2020, with an expected long tail of disruptions in global and local mobility systems. Looking into the near past goes in the way of understanding how tourism mobilities could have become enmeshed with social inequalities; the hindrances provoked by COVID-19 have been opening new relevant avenues of social exclusion, which the recent literature claims to be overlapping and heightening, and not substituting, pre-existing ones. Our analysis should therefore be informing the process of recovery, and underline the key policy challenges that are at stake in the debate as to whether tourism should bounce back to ‘business as usual’ and pre-COVID trends once the emergency is over, or whether this could be an important opportunity for reforms that bring forward social resilience in the face of the transformative and exclusionary power of tourism mobilities on places.

The indicators used to obtain this basic regional typology were selected from a wide range of measures of tourism and related mobilities considered in preliminary tasks of the SMARTDEST project. These include absolute and relative measures of tourism movement in space and in relation to the resident population (intensity and pressure indexes), for international and domestic markets. Whenever possible and relevant, these indicators have been stratified for areas that have different degrees of urbanisation. We also considered net migration rates for age groups, which the literature relates with different motivations for displacement; the mobility of Erasmus students; and a measure of the penetration of Airbnb supply in relation to the total population which is a proxy of the attractiveness of regions for visitors using this kind of platform-mediated  accommodation structures (generally not accounted for in official tourism movement statistics). All these indicators are calculated in stocks, taking 2018 as the most recent year for which there is an almost complete data cover, as well as in change rates, taking 2008 (the period immediately preceding the effects of global financial crisis) and 2013 (marking the start of the post-crisis recovery) as reference years. The technique used for obtaining the final typology has been 4-means clustering on a selection of such indicators after having eliminated redundancies.

The resulting geographical configuration is illustrated in the figure below. The first type, FAST INTERNATIONALISATION, includes only four regions in the European space (Iceland, Northern Ireland, the North-West of England, and the north of Serbia). These are relative newcomers in international tourism that have made a scale jump in the last decade, presenting themselves with an attractive destination profile especially for their rural and small and medium-sized towns. They have been experiencing a strong growth of tourism over the last decade and specifically of the share of international tourists, and are therefore subject to a relatively high tourism pressure (with low growth in cities and towns, high in rural areas). They are relatively unattractive as a site of migration for more senior cohorts but boast high crude migration rates for the younger migration cohorts.

The second class, LOW INTENSITY, includes 92 regions that are characterised as poorly attractive regions for tourism and other migrations but are subject to a rising tourist pressure in cities and towns, have a low and decreasing share of international tourism, and a moderate offer of Airbnb. This is a large set of regions across the core of Europe and stretching to its periphery. These regions are characterised by general low levels of attractiveness for visitors although they have been experiencing recent growth of the tourist intensity in cities and towns. The domestic market is the driving force of tourism development and wherever they have been experiencing some growth this has been mostly accompanied by an expansion of non-traditional forms of hospitality like short-term rentals mediated by digital platforms (as Airbnb). It is noteworthy that in spite of their relatively low tourist dimension, these regions can be moderately attractive for working age adults and senior migrants, maybe precisely on account of the ‘low pressure’ to which they are subject. The context of these regions varies to a great extent, from regions in the European core (as in Germany, France, Belgium and Switzerland as well as Southern Holland) to inland and predominately rural regions of Spain, regions in the Eastern periphery (Poland, Slovakia, Romania), the south of Finland, north of Sweden, the Italian South and Albania.

The third class, STEADY GROWERS, includes 53 regions whose profile is of being attractive and growing regions for tourism, with highest and growing pressure in rural areas, have a high foreign student population in relation to their size, a high and growing share of international tourism. These regions are mostly situated in the Mediterranean coastal and island regions (including almost the whole of Portugal), the Atlantic archipelagos except the Canaries; and extend to regions in Great Britain, the inner part of the Netherlands, Luxembourg, most Scandinavian and Baltic regions, and almost the whole of Greece, plus some ‘capital city regions’ like London, Prague and Bucharest. These are mature destinations for tourism that have not stopped growing and becoming more internationalised in the last decade, registering the highest pressure in non-urban areas, and are poorly attractive for working age younger adults, but moderately attractive for other migrations including under 25 and over-50-year-old workers.

Finally, the fourth class, TOURISM STARS, includes 15 regions that stand out as very attractive for tourism, especially urban, and all migrations, experiencing a moderate growth concentrated in towns and cities; they are subject to a large penetration of Airbnb, and experience a high share of international tourism but seeing a relative growth of the domestic market. These are some of the most visited destinations in Europe and at the same time preferred destinations for migrants of all age groups. Tourist pressure over the last decade has been mostly growing in urban and intermediate areas, and this has been accompanied by a high level of penetration of platform-mediated supply; yet in general the attraction of tourism (the international market in particular) is decelerating, for having possibly met some capacity thresholds. These regions include Catalonia, Madrid, the Balearic and Canary archipelagos, the Algarve region of Portugal, Paris and the South of France, the northeast of Italy, the whole of Croatia and Ireland, and two other capital city regions, North Holland (the region of Amsterdam) and Berlin.

The subsequent step of this analysis has been to calculate the average means of the score of a selection of social indicators in the four classes of regions in this typology, and test that these differences are significant. We have included in this exercise:

  • Health indicators (self-reported perception on health state by participants to the EU-SILC survey)
  • Housing indicators (self-reported perception on quality of housing, financial access to housing and rent values by participants to the EU-SILC survey)
  • Poverty and deprivation indicators (self-reported perception on conditions of dependency, lack of access to basic commodities and consumption, etc.)
  • Labour indicators proceeding from the Labour Force Survey and especially pointing at the dimension of regional employment in the tourism sector and at the characteristics of workers in atypical conditions or earning low salaries

The full discussion of results is available in the SMARTDEST Delverable 2.3, which can be retrieved at https://smartdest.eu/results/#project-reports. Here we only wrap up the most important insights.

A key aspect explored by the literature – but not in a systematic way and using an established metrics – is how positive and negative externalities from tourism development balance out (geographically and socially) and whether population change processes which could be triggered by tourism development may be shadowing an underlying process of social exclusion. In this sense, we have singled out the small group of FAST INTERNATIONALISATION regions as the most problematic to this respect: they present a profile of being places where access to housing represents a burden for women and a heavy burden for non-European foreigners and where a sizable share of the over-65 population lives in overcrowded households, and these hindrances do not balance out through the share of population that derive rents from property, which tend to be the lowest among the four types considered. They present the worst profile in terms of conditions of poverty and deprivation, the female population being particularly affected. They also have the large shares of workers in the tourist with elementary occupations (or others) having atypical work profiles and while they offer good opportunities also in term of salary to foreigners and women, they seem to offer them worse condition in terms of protection. The LOW INTENSITY regions present quite an opposite profile – though they derive much lesser benefits from tourism and other inward flows of migration, they show very little of the hindrances through which tourism growth may sustain pathways of social inequality and exclusion.

The other two categories, STEADY GROWERS and TOURISM STARS, are a mixed bag. The former group of regions have not reached a stage of development in which tourism pressure could be considered excessive (also on account of the relative spread of tourism activity out of urban areas), especially in relation to housing affordability, and they have some the best profile in terms of salaries paid. Their trajectory of development has been more paced, having had the opportunity to become embedded in new structures of institutional and social capital, yet the trends indicate that they may resent from an increasing specialisation in tourism, which makes them particularly vulnerable to systemic crises like the one that we are currently living with COVID-19. Finally, TOURISM STARS are in their majority characterised as places where the intensification of tourism in areas otherwise economically buoyant, of their very strong degree of specialisation in tourism, could have tipped some threshold which challenge social inclusion, for instance nuancing a high level of polarisation (for instance between homeowners and tenants), deprivation, and work conditions. That the already high level of concentration in urban areas has not grown in the last decade in average as much as in other regional types is not preventing the tourism economy to increase its dimension and lead to a structural deflation of employment conditions.

These findings may thus inform on some of the key challenges that should be taken into account in the European urban and regional policy agenda when the ‘tourist dimension’ and pace of evolution of regions is considered as a driver of social change, such as housing affordability, socio-spatial polarization, the casualization and precarious nature of tourism work or the effects that the reconfiguration of space brought about my global mobilities in their anchoring to place has on the most vulnerable segments of resident communities. These areas of concern will be the object of in-deep scrutiny in further stages of the SMARTDEST project both at pan-European and at case study level.

IAMSTERDAM

Transforming discourses on tourism

By Roos Gerritsma, Martine Roeleveld and Guido Stompff from Inholland University

Preliminary results of an extensive discourse analysis (2000 – 2020) on tourism and the impact on the inhabitants of Amsterdam reveal remarkably consistent, well known and opposing discourses. Smaller, transforming discourses emerged over time that attempt to solve the dualism and despite they are less in the news seem to have a large impact on policies.

The Amsterdam team of SMARTDEST gathered data from local and national newspapers plus other relevant sources that portray the evolving public discourse on tourism in Amsterdam. We expected that the discourse would be shaped by policy regime changes, while at the same time shaping local and national policies. Analysis is still ongoing, but preliminary results depict a remarkably consistent dualism between ‘growth’ and ‘liveability’ discourses. Besides two polarised  discourses, smaller discourses could be observed that seem to have planted the seeds for policy changes.

Starting with collecting thousands of media articles in the period 2000 -2020, the Amsterdam team of SMARTDEST team reduced the data set by strategically choosing  pivotal years in the development of Amsterdam tourism. Five years (2000, 2009, 2014, 2018, 2020) were chosen on the basis of a timeline in which policy changes and  major events were plotted. For example, 2014 was a jubilant year for Amsterdam tourism, including the reopening of one of its main attractions (the Rijksmuseum) resulting in extensive city marketing. While the public debate around excesses of tourists in the city can be traced back to 2000 (and arguably even before!), in 2014 that the debate hardened considerably. In 2015 a policy change attempted to rebalance the interests of residents, businesses and tourists and to enlarge the ‘liveability’ of the centre of Amsterdam, by means of a taskforce called ‘City in Balance’.

Over the course of these years the main discourses have proven to be remarkably stable, albeit the vocabulary and tone of voice and the spokespersons have changed. Although the numbers of overnight stays tourist in these two decades nearly tripled, the same dualism surfaces every year: between a ‘growth’ perspective versus a ‘liveability’ perspective. Whereas the first gives voice to economic considerations, the second voices concerns on the negative impact of tourism, although what is troubling residents changes over time. Whereas in the past pickpockets and small drugs related crime dominated this discourse, in recent years it has turned to nuisances in relation to AirBnB, stag parties, the city as a ‘themepark’ revolving into the qyuestion ‘who owns the city’.

In between these main discourses, several others emerge that attempt to transform the dualism, offering an overarching perspective that integrates opposing viewpoints. For example, at the beginning of the century the ‘tolerance’ discourse (e.g.: “Amsterdam is the gay capital”) offered such an overarching perspective, striving for both economic growth and tolerance, that is: more tourists and an inclusive city. Lately, the ‘reinvent tourism’ movement also offers such a transformative perspective, striving for an inclusive and sustainable kind of tourism, bringing tourists and residents together. Of particular interest is that these overarching, yet smaller perspectives seem to be influential on policy makers, offering a way out of opposing viewpoints. For example, the  highly successful ‘I Amsterdam’ city identity campaign that started in 2004 explicitly celebrated the diversity of it’s residents, arguably inspired by the ‘tolerance’ discourse.

The influence of foreigners’ buzzing on TripAdvisor ranking of restaurants in Venice: implications for the sustainability of over-touristed heritage cities

By Andrea Ganzaroli, Ivan De Noni and Michelle Bonera

How much restaurants’ reputation in crowdsourcing systems is influenced by foreign tourists in overtouristed cities? Click to learn more about the reliability of rating systems based on crowdsourcing in overtouristed cities.

Are rating systems based on crowdsourcing capable to discriminate the quality of restaurants in overtouristed cities? When it is about lunchtime or dinnertime in a foreign tourist city, we promptly take our phone out of the pocket and start to type on the screen looking for a good restaurant where to enjoy the quality of local food. We start to compare ratings and reviews provided by alternative apps and then, finally, we make our decision. However, who did decide the reputation of your restaurant? To what extent the evaluation of other foreigners has influenced the reputation of your restaurant?

The answers to those questions are particularly relevant in the case of overtouristed cities, in which a large share of customers’ reviews is from foreign people who may lack the know-how to evaluate the quality of local food. Furthermore, those people may be positively influenced by the atmosphere, their being on vacation, or by the judges of the others (herd behavior). Therefore, they may tend to overrate the quality of restaurants and that of the food served. This may lead to systematic distortion in the crowding system ranking the quality of restaurants and, more in general, the cultural goods offered in overtouristed cities. The consequences of those systematic distortions may be crowding out quality from overtouristed cities. A phenomenon that we have learned to call touristification.

To verify the likelihood of such an occurrence, Ganzaroli, De Noni, and Bonera have run an experiment based on the data collected from TripAdvisor on 575 restaurants in Venice. Their findings confirm that foreigners systematically overrate the quality of restaurants in Venice compare to Italians. Furthermore, this attitude significantly affects restaurants’ reputation and ranking on TripAdvisor. However, Italian does not mean Venetian, but, likely, he or she may know better about the quality of Venetian food.

If you want to learn more about this research, you may click here and download the full paper published in Current Issue in Tourism.

SMARTDEST updated project presentation on Open Access Government Magazine

We have published a new article presenting our project on the Open Access Government magazine.

SMARTDEST tackles arguably one of the greatest challenges for urban areas and metropolitan regions in Europe: that of becoming sites of attraction for ‘temporary’ populations.

Cities have been historically the hub of multiple mobilities. Yet, the acceleration and compression of such mobilities, a fundamental trait of our age, is posing an unprece­dented threat to urban cohesion. Cities need to ‘make space’ for an ever-increasing number of visitors, short-stayers, expats, and the work­ers, goods, vehicles, infrastructure that facilitate their arrival and dwelling; and often, this subtracts to the opportunities, affordabilities, quality of life of ‘stable’ resident populations. One such mobilities is tourism. The attraction of tourists and the development of a visitor economy has been one of the fundamental dimensions of contemporary urban development. Yet, urban communities all over Europe recently started to feel that ever-growing tourist activity is turning into a hindrance for their way of life and a serious threat for their wellbeing.

In this moment of COVID pandemic emergency, the temporary blockage of tourism mobilities worldwide has also uncovered another key aspect of the problematic relationship between cities and tourism: the extreme dependence of urban areas from the attraction of large masses of visiting consumers.

The full article is available at the following Link

People qu

Past and Future of Venice’s Tourism Industry

Authors: Madison Di Vico, Martin McCormack, Lucas Micheels, Lauren Revene, Joe Sorrenti

The picturesque city of Venice is a destination well-known for its architectural and cultural allure. This unique lifestyle attracted roughly 26 to 30 million tourists annually prior to COVID-19. For decades, the number of tourist beds available in Italy consistently increased. This roughly 16% annual climb did not come without consequences. From 2000 to 2020, the resident population dropped from 76,007 to 51,550. As of 2019, there were more tourist beds available than residents. As a result, UNESCO gave Venice a deadline of 2021 to mitigate the environmental effects of tourism on the city or risk officially adding it to the endangered list.

However, these trends rapidly changed when COVID19 spread across the world. In February of 2020 Venice was placed under lockdown to combat the influx of victims that plagued the nation. As a means to remedy the damage to tourism and local businesses, the SmartDest Project had chosen to sponsor a proposal from SerenDPT that focuses on solutions to issues of dependency and deterioration of Venetian. The goal was to analyze tourism and the effects that it had on the economy, environment and culture in Venice as well as to create policy to usher in sustainable tourism. In doing this a team of VPC students form the Worcester Polytechnic institute worked to supply SerenDPT with pre-COVID socioeconomic trends regarding tourism; to aid in the development of a tool to automatically collect real-time tourism data; and engage with stakeholders in tourism and plan an event for stakeholders to meet and discuss sustainable tourism.

The individual stakeholders all have problems specific to their discipline and with varying severity. In order to help these stakeholders, develop a more sustainable tourist experience in Venice, the first passage was to analyze pre-COVID socioeconomic data. The research proved the fragility of the tourism industry, making it evident that it needed to be monitored. This led the team to renovate and repurpose the Venice Dashboard. Designing the new dashboard moved it from a tourist focused program to a researcher and policy maker oriented one. The new design presents data found from websites and API’s (application programming interface) which will be displayed in real time. The data will be displayed in various forms such as interactive maps, bar and line graphs and charts. In doing this the functionality of the website increases, as researchers will have a one stop spot for all socio-economic tourist data.

As per the SmartDest grant, they organized multiple stakeholder events to be conducted in Venice with the goal of discussing tourist related issues to help bring officials and administrators to make policy. The events have been organized into 5 groups each of which will have members from associations discussing issues in their industry: hospitality, tourism, transportation, housing and commerce association. We hope that this work will be beneficial to the grants goal of upgrading pan-European policy, influencing the issues of mobilization and exclusion brought on by tourism.

 

Want to know more about our project? Check our website and learn about tourism in Venice on a real-time basis!

 

Curated by Giulia Speri