Spatiotemporal Patterns and Socioeconomic Influences on Host Participation in Short-Term Rental Markets: Airbnb in San Francisco DOI Creative Commons
Avijit Sarkar, James B. Pick, Shaista Jabeen

и другие.

ISPRS International Journal of Geo-Information, Год журнала: 2023, Номер 13(1), С. 4 - 4

Опубликована: Дек. 20, 2023

This paper examines spatiotemporal patterns and socioeconomic influences on host participation in Airbnb’s short-term rental (STR) marketplace San Francisco during the years 2019–2022, a four-year period that spans COVID-19 pandemic. provides motivation for study to examine how Francisco’s demographic fluctuations influenced Airbnb hosts rent their properties platform. To do so, property densities, indicators of participation, are estimated at census tract level subsequently mapped GIS along with points interest (POIs) located all over city. Mapping unveils changes which also analyzed spatial autocorrelation using Moran’s I. Clusters outliers densities identified K-means clustering geostatistical methods such as local association (LISA) analysis. Locationally, hotspots not city’s core, unlike other major markets metropolitan areas. Instead, northeastern neighborhoods around ethnic enclaves, close proximity POIs frequented by visitors, have higher proportion hotel lodging employment lower median household income. A conceptual model posits associations sixteen demographic, factors, trust, social capital, sustainability, interest. Ordinary least squares (OLS) regressions reveal occupation professional, scientific, technical services, employment, POIs, Asian population dominant factors influencing shared accommodation economy. The occupational novel findings Francisco. These vary somewhat two main types properties—entire home/apartment private rooms. Implications these discussed relation supply side motivations participate STR marketplace.

Язык: Английский

Does the influence of multidimensional distances on the evolution of tourism information flow network structures differ by urbanisation rate? Evidence from China DOI

Ziyu Zhao,

Yufeng Wen,

Zexin Yuan

и другие.

Current Issues in Tourism, Год журнала: 2025, Номер unknown, С. 1 - 21

Опубликована: Апрель 6, 2025

Язык: Английский

Процитировано

0
Tourist Tracking Techniques and Their Role in Destination Management: A Bibliometric Study, 2007–2023 DOI Open Access
Yarlein Ivama Julio Guerrero, Francisco Dias

Sustainability, Год журнала: 2024, Номер 16(9), С. 3708 - 3708

Опубликована: Апрель 28, 2024

The tourism industry has recently undergone a significant evolution because of the implementation Information and Communication Technologies (ICT). These changes have raised new conceptions destinations, thus giving rise to smart destinations. In this context, digital tracking tourists become great interest. This article aims analyze research landscape on tourist through bibliometric study, which allows evaluation performance publications, recognition prominent SciVal topics, analysis techniques, their use as tool that contributes development Unlike prior studies in area, addition paper focuses only empirical tracking, identifies analyzes linkage thereof with Sustainable Development Goals (SDGs). study was carried out based articles extracted from Scopus database published between 2007 2023. is mainly quantitative, (journals, authors, institutions, countries) science mapping (citation analysis, co-word co-authorship analysis). Results show quality publications made 2007–2023 period indicate most used techniques been GPS devices, social media, app-based GPS/GNSS. addition, it found occurred at same time ICT topic covers largest number associated destination management. It concluded application transformation destinations into they provide useful relevant information market stakeholders for strategies improve decision-making allow sustainable management

Язык: Английский

Процитировано

2
Mapping the effects of COVID-19 on Airbnb: Evidence from European cities DOI
Ersin DEMİR, Volkan Zoğal, Mehmet Şirin Yelsiz

и другие.

Anatolia, Год журнала: 2023, Номер 35(1), С. 135 - 162

Опубликована: Сен. 5, 2023

ABSTRACTThis article focuses on the evaluation of temporal and spatial effects COVID-19 Airbnb's supply demand in 40 cities from 17 European countries four regions. In terms supply, hosts followed a wait-and-see strategy by availability was set to 0 first pandemic wave, with second sharing activities were completely terminated closing profiles. Hosts entire homes multiple listings more willing use calendars actively reluctant close profiles than private rooms single listings. Moreover, especially half 2020, Northern, Western, Eastern Europe suffered significant losses, while Southern used calendars. Airbnb even adversely affected, preferences directed towards homes, where social distance might have been easier better maintained between peers, listings, that professionally managed due commercial concerns. Considering dependence income activities, it is thought they may affected potential losses listings.KEYWORDS: COVID-19peer-to-peer accommodationtourism geographyAirbnbEurope AcknowledgementsWe are grateful Ege University Planning Monitoring Coordination Organizational Development Directorate Library Documentation for their support editing proofreading service this study. We would like thank Prof. Dr. Şevket Işık, his contribution data process. express our gratitude comments, suggestions criticisms Gürhan Aktaş İlkay Südaş. Finally, we also two anonymous reviewers who made contributions.Disclosure statementNo conflict interest reported author(s).Data statementThe findings study openly available [Inside Airbnb] at [http://insideairbnb.com/get-the-data.html].Supplementary materialSupplemental can be accessed online https://doi.org/10.1080/13032917.2023.2254780Additional informationFundingThis work supported Research Fund Project Number: SGA-2021-22657.Notes contributorsErsin DemirErsin Demir PhD candidate Human Geography. His main research interests are: tourism geography, economy, peer-to-peer accommodation, CouchSurfing Airbnb. He currently working as assistant Department Geography University.Volkan ZoğalVolkan Zoğal received master's degree 2016 continues dissertation Graduate School Social Sciences, Economic Program. home tourism, accommodation assistant.Mehmet Şirin YelsizMehmet Yelsiz Spatial Design. GIS analysis. fellow Design Burdur Mehmet Akif Ersoy UniversityGözde EmekliGözde Emekli professor since 2016. She author several papers cultural creative heritage, rural studies other urban studies. journals including International Journal Education, Aegean Geographical Journal, Turkish Review. Currently, she gives lectures Tourism Geography, Urbanization Turkey, Methods Union Alternative Opportunities Turkey undergraduate postgraduate students.

Язык: Английский

Процитировано

3
Regional aspects of the restructuring of tourist flows in Europe in the 21st century DOI Open Access
Ivan A. Ivanov

Pskov region studies journal, Год журнала: 2024, Номер 20(1), С. 136 - 136

Опубликована: Янв. 1, 2024

The impact of the COVID-19 pandemic on global tourism is not limited to crisis in industry. was accompanied by a spatial restructuring tourist flows. purpose study identify features this at regional level European countries under influence and geopolitical factors. information base for statistics arrivals 427 regions period from 2003 2022. entire time interval study, accordance with peculiarities flows, divided into three periods (pre-pandemic, beginning recovery pandemic). analysis carried out using cartographic research method. main trend flows 2019. their partial redistribution favor eastern part Europe (post-socialist countries) Turkey. During (2020–2021), greatest reduction flow characterized specializing inbound tourism. Countries that managed move towards increasing domestic (including Russia) found themselves more advantageous position. In 2022, within foreign Europe, due persistence sanitary restrictions number year, it possible observe temporary central its periphery.

Язык: Английский

Процитировано

0
Unlocking the sustainable tourism development in the USA: what are the effects of carbon emission? DOI

Joses Bamigboye Alabi,

Abraham Deka

Management of Environmental Quality An International Journal, Год журнала: 2024, Номер 35(8), С. 1977 - 1993

Опубликована: Июль 23, 2024

Purpose This study is carried out to investigate the effects of tourism expenditure, technological development and foreign direct investment on in United States America, a top international destination world, from 1995 2021. Design/methodology/approach To this end we use Autoregressive Distributive Lag method which captures short long run effects. also fundamental presenting robust results when time series data with periods used. The FMOLS DOLS methods are used ensure robustness findings. Findings indicate that spending contributes growth tourist industry country. reveals economic has detrimental impact tourism. Furthermore, carbon emissions exclusively impeding long-term progress development. country's prioritization led rise emissions, disregarding desire tourists experience pollution-free natural environment. Moreover, exerts beneficial advancement Originality/value Although there been numerous research factors influence tourism, less documentation specific affecting examines effect emission States, World's destinations. Few studies have attempted unlock association States; hence, originality.

Язык: Английский

Процитировано

0
From COVID-19 to ‘new normal’? Revisiting Parisian short-term rental markets and their dynamics DOI
Yuheng Ling, Marie-Laure Breuillé, Julie Le Gallo

и другие.

Current Issues in Tourism, Год журнала: 2024, Номер unknown, С. 1 - 16

Опубликована: Июнь 7, 2024

This study uses fine-grained data on Airbnb listings and their characteristics in the city of Paris to explore disruptions associated with COVID-19 business. The results show some substantial changes during pandemic Airbnb's distributions listings, booking revenue performance, which varied across locations, COVID waves, hosts accommodation types. biggest shift occurred first national lockdown. centre's advantage was reduced pandemic, but this decrease quite different depending users. We also observe a recovery short-term rental market post-COVID era. These findings provide valuable insights for policymakers better understand pandemic-induced disruption.

Язык: Английский

Процитировано

0
Airbnb des villes et des champs à l’épreuve de la Covid-19 DOI
Yuheng Ling,

Yacine Allam,

Marie-Laure Breuillé

и другие.

Revue d économie industrielle, Год журнала: 2024, Номер 186, С. 9 - 88

Опубликована: Янв. 1, 2024

Dans cet article, nous analysons les déterminants de l’offre location touristique meublée à travers l’activité la plateforme Airbnb sur l’ensemble du territoire métropolitain en France. En se basant partition dans le zonage aire d’attraction des villes, mettons évidence une hétérogénéité spatiale importante, avec centres très attractifs et l’opposé pôles secondaires moins recherchés. La crise sanitaire, selon périodes restrictions, a fait chuter nombre d’annonces entre 10,03 % lors premier confinement 34,7 pass vaccinal, cependant effets différenciés type d’espaces. Elle surtout touché communes-centre, puis principaux faiblement communes hors attraction mais n’a pas produit d’effets significatifs couronnes, termes d’offre disponible. Des différences importantes nombre, taux d’occupation ou revenu généré apparaissent également d’annonce (logement entier chambre privée) d’annonceur (privé professionnel), reflétant notamment modes différents d’ajustement par prix quantités offertes, zones.Classification JEL : C33, L83, R31, Z32.

Процитировано

0
Spatiotemporal Patterns and Socioeconomic Influences on Host Participation in Short-Term Rental Markets: Airbnb in San Francisco DOI Creative Commons
Avijit Sarkar, James B. Pick, Shaista Jabeen

и другие.

ISPRS International Journal of Geo-Information, Год журнала: 2023, Номер 13(1), С. 4 - 4

Опубликована: Дек. 20, 2023

This paper examines spatiotemporal patterns and socioeconomic influences on host participation in Airbnb’s short-term rental (STR) marketplace San Francisco during the years 2019–2022, a four-year period that spans COVID-19 pandemic. provides motivation for study to examine how Francisco’s demographic fluctuations influenced Airbnb hosts rent their properties platform. To do so, property densities, indicators of participation, are estimated at census tract level subsequently mapped GIS along with points interest (POIs) located all over city. Mapping unveils changes which also analyzed spatial autocorrelation using Moran’s I. Clusters outliers densities identified K-means clustering geostatistical methods such as local association (LISA) analysis. Locationally, hotspots not city’s core, unlike other major markets metropolitan areas. Instead, northeastern neighborhoods around ethnic enclaves, close proximity POIs frequented by visitors, have higher proportion hotel lodging employment lower median household income. A conceptual model posits associations sixteen demographic, factors, trust, social capital, sustainability, interest. Ordinary least squares (OLS) regressions reveal occupation professional, scientific, technical services, employment, POIs, Asian population dominant factors influencing shared accommodation economy. The occupational novel findings Francisco. These vary somewhat two main types properties—entire home/apartment private rooms. Implications these discussed relation supply side motivations participate STR marketplace.

Язык: Английский

Процитировано

0