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2020· paratext· en· W4253171367 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typeparatext
Languageen
FieldBusiness, Management and Accounting
TopicSharing Economy and Platforms
Canadian institutionsnot available
Fundersnot available
KeywordsGentrificationTourismCommodificationHospitalityIndex (typography)PublishingGeographyEconomySociologyHumanitiesPolitical scienceEconomicsEconomic growthArtLawArchaeology

Abstract

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Citation (2020), "Index", Oskam, J.A. (Ed.) The Overtourism Debate, Emerald Publishing Limited, Bingley, pp. 303-307. https://doi.org/10.1108/978-1-83867-487-820201024 Publisher: Emerald Publishing Limited Copyright © 2020 Emerald Publishing Limited INDEX Airbnb, 5–6, 78, 294 Amsterdam, 107 authenticity, 152–154, 163 centripetal demand, 160 commodification, 153–154, 163 data problem, 158–160 demand, 156 gentrification, 155–156 Google Maps, 13 housing market effects, 151 Lisbon, 145 off-the-beaten-track experiences, 154–155 Paris, 151 Portugal, 137 tourism growth, 153 touristification, 152 transnational gentrification, 124 TripAdvisor, 13 Albergo Diffuso (AD), 7 hospitality model, 283–284 overtourism issue, 281–283 Tuscany, 284–292 Amsterdam, 1, 13, 43, 156, 268 anti-tourist sentiments, 103–104, 105–108 countermeasures, 108–110 displacement and avoidance, 110–111 Irridex model, 98–99 life cycle and social exchange, 98–99 new urban tourism, 101–102 privileged discontent, 84 residents’ perceptions, urban contexts, 100–101 social representations theory, 88, 99–100 tourism development, 95–98 tourism policy, 88 Anti-tourist sentiments evolution, 103–104 explanatory factors, 105–108 Assault on Pleasure, 66 Authenticity, 163, 171–172 Airbnb, 152 Albergo Diffuso (AD), 284 Berlin neighbourhood, 4 existential, 155 interpretations, 48–49, 154 off-the-beaten-track, 155–156 performative, 154 Real de la Feria, 176–181 Berlin, 4, 35, 77, 123 Airbnb, 153 co-managing tourism, 262–263 overtourism, 232 tourism, 255–257 Blackpool, 49 Bottom-up politicisation, 75–76 Carrying capacity frameworks, 6, 86, 233–236 overtourism, 232–233, 236–241 tourism, 230–231 transformative changes, 241–244 Cities, 53, 251 Amsterdam, 63–64, 75 Barcelona, 63–64, 75 Berlin, 75 Brazilian, 81 Budapest, 75 Cape Town, 75 Dubrovnik, 75 European and North American, 78–79 gentrification, 5 Hong Kong, 75 Lisbon, 75 New Orleans, 75 overtourism and smart, 267–270, 272–274 political economy, 78–79 Porto, 75 Prague, 75 Seoul, 75 Southern European, 129 Spanish, 86 tourism, 61–62 urban tourism, 80–85 Valencia, 75 Venice, 63–64 Citizen participation, 6, 258, 261 City destinations, 43, 95, 282 Clean environment, 33–34, 36–38 Co-created mass tourism, 19–20 Commodification, 5–6, 43–44, 151–152 Airbnb, 153 authenticity, 153–154 concentration of demand, 156 Feria, 181–183 gentrification, 155–156 off-the-beaten-track, 154–155 touristification, 155–156 Competitive consumption, 50–51 Concentration index, 284–288 Conspicuous consumption, 50, 69 Critical encounters, 234–236 Cultural capital, 52–53 Cultural heritage resources Canadian rocky mountain parks, 201–206 International Union for the Conservation of Nature (IUCN), 192 residents’ perspectives, 197 United Nations World Tourism Organization (UNWTO), 196 World Protected Areas Leaders’ Forum (WPALF), 196–197 Da Vinci Code Society, 67 Decroissance, 35 Degrowth, 35 Demand, 44–45 Destination Marketing, 6, 255–257 Destination Marketing Organisations (DMOs), 66 Disintermediation, 16–17 Emotions, 62–63 Envy/envy coping, 51–52 Equity, 32 Feria de Abril , 171 authenticity, 176–181 beginnings, 173–174 commodification, 181–183 social changes, 181–183 social transformations, 174–176 Galapagos, 211–212 economy, 215–218 land-based tourism, 216–217 overreach and oversupply, 218 overtourism, 213–215 policy and regulatory response, 217–218 political pressure, 220–222 ship-based tourism, 215–216 ships and jobs, 218–219 state of tourism, 212–213 tourism, 212–213 Gentrification, 5, 137 negative impacts, 101–102 neighbourhood changes, 123–131 residential and commercial, 77 touristification, 78, 123–131, 155–156 Google Maps, 17 Habitus, 52–53 Heritage tourism, 191, 201–206 Hospitality models, 279–281 Albergo Diffuso (AD), 283–284 overtourism issue, 281–283 Tuscany, 284–292 Independent travel, 19–20, 193 International Covenant on Civil and Political Rights (ICCPR), 32 Irridex model, 11–12, 98–99 Lake District, 64 Lisbon, 5, 81–82, 121–122, 143–144 Airbnb, 137 demographical background, 138 future developments, 146 gentrification, 140–142 local tourist accommodations impacts, 145–146 low-cost airline companies (LCCs), 137 tourism impacts, 138–142 tram number 28, 2, 82–83 urban regeneration, 142–143 Liveability, 103 Local tourism accommodation, 144–145 Mass society, 65–66 Mass-tourism, 4, 46, 69–70 fear of, 65–66 open-source, 12–18 organised packaged, 14–18 Middle class, 46–48 Myth of decline, 68–69 National parks, 191–192 cultural heritage and visitor impact issues, 198–201 Galapagos National Park Service (GNPS), 212, 215 International Union for the Conservation of Nature (IUCN), 192 North American, 6 overtourism and effects, 195–197 Neighbourhoods, 3–4, 123–133 Amsterdam, 103 Berlin, 4 Lisbon (See Lisbon) London, 4 middle-class, 84 untouched, 76–77 NIMBYism, 85 Open-source mass tourism, 11–12 destination management, 18–20 emergence, 12–18 vs. organised packaged mass tourism, 14–18 Overtourism, 2–4, 27, 232–233 approaches, 269–270 carrying capacity, 233–236, 241–244 databases and open libraries, 29 definition, 232–233 first dimension, 30–31 Galapagos, 213–215 indicators, 12–18, 222–224 national parks, 195–197 origins, 1–2 preventing, 223–224 protected areas stakeholders, 195–197 second dimension, 31–33 shifting interest, 230–231 smart tourism destinations (STDs), 267 strategies, 236–241 supply chain, 19 tactics, 236–241 technological solutions, 270–272 third dimension, 33–34 tourism dispersal, 270–272 Tuscany, 284–292 Packaged holidays, 14 Place management, 6, 253–254, 257–258, 262–263 Political freedom, 35 Politicisation, 80–85 Protected areas, 191–197, 287–288 Protest antitourism, 1 economic interests, 3–4 local population, 258 overtourism, 5 tourism demand, 4–7 touristification, 80–81 urban transformation, 4–7 Push motives, 46, 51–52, 53 Quality of Life, 99 Residents' rights, 4–5, 28–29, 31–33, 38 Revolt against tourism, 75–76 Right to healthy, 29, 34 Right to travel, 4–5 materials and methods, 28–29 overtourism, 27, 30–31 Safe environment, 33–34, 38 Sevilla, 5 Sharing economy, 36, 273 Side Impact Protection System, 50 Smart cities overtourism, 269–270 Smart City Hospitality framework, 241–244 smart tourism destinations (STDs), 267 tourism dispersal, 270–272 Smart tourism, 267 Social exchange, 98–100 theory, 99 Social media, 17, 50–51, 95–97, 195–196, 252, 259, 268 Social movements, 83–84, 89, 121–122 Social representation, 98–100, 176–179 Social transformations, 174–176 Southern Europe, 86, 101, 112–113, 121–122, 124, 140 Southport, 49 Stakeholder engagement, 241–244 Stockholm Declaration, 34 Strategies carrying capacity, 238 coping strategies, 12, 110 overtourism, 236–241 planning strategies, 274 visitors’ growth, 239–240 World Tourism Organization (UNWTO), 270 Sustainability, 27, 35 Thomas Cook, 15, 64 Tourism co-managing tourism, 262–263 competitive consumption, 50–51 economy, 218–222 framework, 257–262 Galapagos tourism, 212–213, 213–215 gentrification, 78 land-based tourism, 216–217 mass tourism, 65–66 policy, 217–218 regulatory response, 217–218 ship-based tourism, 215–216 tourism dispersal, 270–272 urban tourism, 76–85, 258, 301 Tourism management Berlin, 255–257 co-managing tourism, 262–263 overtourism indicators, 222–224 tourism framework, 257–262 Tourismphobia, 11 Tourist Area Life Cycle model, 11–12 Touristification, 75–76, 78, 81–82, 84, 96, 107, 112, 132–133, 140–142, 253, 302 Tourists, 11–12, 48–50 Tour moderator, 19–20 Tour operators, 14, 16–17, 20, 224, 272 Transformative change, 241–244 Travel Constraints theory, 45 Travellers, 48–50 TripAdvisor, 17 Tuscany Alberghi Diffusi, 288–292 arrivals, 284–288 concentration index, 284–288 overnights, 284–288 Urban practices, 6, 254–255, 262 Urban tourism, 80–85 Vertical capacity control, 4, 17 Work-and-spend-cycle, 50 World heritage Canadian Rocky Mountain Parks, 192, 203 overtourism indicators, 222–224 at risk, 207 Book Chapters Prelims Chapter 1 Introduction Section 1 Tourism Demand Chapter 2 Reframing the Structural Causes of Overtourism: Open-source Mass Tourism and the Case for a Paradigm Shift in the Management of Holiday Supply Chains Chapter 3 Debating the Right to Travel Chapter 4 The Will to Travel Section 2 Anger and Protest Chapter 5 Getting over Overtourism! Chapter 6 Overdosed, Underplanned or What? Making Sense of Urban Tourism's ‘Politicisation from Below’ Chapter 7 The Unhospitable City: Residents' Reactions to Tourism Growth in Amsterdam Section 3 The Transformation of Cities Chapter 8 Tourism, Gentrification and Neighbourhood Change: An Analytical Framework– Reflections from Southern European Cities Chapter 9 The Impact of Touristification in City Neighbourhoods – The Case of Lisbon Chapter 10 Commodification of the ‘Local’ in Urban Tourism: The Airbnb Contradiction Chapter 11 ‘Authentic Seville’: Between Essentialism and Tourist Commodification – The Feria de Abril Section 4 Impact on Heritage Sites Chapter 12 Cultural Heritage Resources in National Parks in North America – The Challenge to Maintain Historic Structures and Sites in the Face of Increasing Demand and Decreasing Budgets Chapter 13 Growing… Growing… Gone: Tourism and Extinctions in Galapagos Section 5 Policies and Measures Chapter 14 Overtourism: Carrying Capacity Revisited Chapter 15 Tourism Management in Berlin: From Destination Marketing to Place Management Chapter 16 Overtourism and Smart Cities: Present and Future Chapter 17 Can the New Hospitality Model of Albergo Diffuso Solve the Overtourism Issue? The Case of Tuscany Chapter 18 Conclusion Index

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.289
Threshold uncertainty score0.905

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0960.385

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.217
Teacher spread0.189 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Published2020
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