The path of least resistance explaining tourist mobility patterns in destination areas using Airbnb data

Journal of Transport Geography - Tập 94 - Trang 103130 - 2021
Umut Türk1, John Östh2,3, Karima Kourtit2,4,5,3,6,7,8, Peter Nijkamp2,4,5,3,7,8
1Abdullah Gül University, Kayseri, Turkey
2Open University, Heerlen, The Netherlands
3Uppsala University, Upsala, Sweden
4“Alexandru Ioan Cuza” University of Iasi, Iasi, Romania
5University of Technology, Benguérir, Morocco
6Center for the Future of Places, KTH Royal Institute of Technology, Stockholm, Sweden
7Polytecnic University, Ben Guerir, Morocco
8Adam Mickiewicz University, Poznan, Poland

Tài liệu tham khảo

Amin, 2007, Cultural economy and cities, Prog. Hum. Geogr., 31, 143, 10.1177/0309132507075361 Ardito, 2019, Big data in smart tourism: challenges, issues and opportunities, Curr. Issue Tour., 22, 1805, 10.1080/13683500.2019.1612860 Armeni, 2013, Pedestrian navigation and shortest path: preference versus distance, Intel. Environ., 647-652 Arribas-Bel, 2015, Cyber cities: social media as a tool for understanding cities, Appl. Spatial Anal. Policy, 8, 231, 10.1007/s12061-015-9154-2 Ash, 2018, Digital turn, digital Geographies?, Prog. Hum. Geogr., 42, 25, 10.1177/0309132516664800 Bang Nong, 2021, Impact of Covid-19 on Airbnb: evidence from Vietnam, J. Sustai. Fin. Invest., 1 Basu, 1998, Analysis of spatial autocorrelation in house prices, J. Real Estate Financ. Econ., 17, 61, 10.1023/A:1007703229507 Briassoulis, 2002, Sustainable tourism and the question of commons, Ann. Tour. Res., 29, 1065, 10.1016/S0160-7383(02)00021-X Chang, 2016, Influence of the principle of least effort across disciplines, Scientometrics, 106, 1117, 10.1007/s11192-016-1838-0 Croes, 2007, Research report: evaluating short-term tourism economic effects in confined economies – conceptual and empirical considerations, Tour. Econ., 13, 289, 10.5367/000000007780823140 Deboosere, 2019, Location, location, and professionalization: a multilevel hedonic analysis of Airbnb listing prices and revenue, Reg. Stud. Reg. Sci., 6, 143 Del Chiappa, 2021, What prevents consumers that are aware of Airbnb from using the platform? A mixed methods approach, Int. J. Hosp. Manag., 93, 102775, 10.1016/j.ijhm.2020.102775 Del Vecchio, 2018, Creating value from social big data: implications for smart tourism destinations, Inf. Process. Manag., 54, 847, 10.1016/j.ipm.2017.10.006 Doran, 2015, Different but similar: social comparison of travel motives among tourists, Int. J. Tour. Res., 17, 555, 10.1002/jtr.2023 Dudás, 2017, The Visualization of the Spatiality of Airbnb in Budapest using 3-Band Raster Representation, Geographia Technica, 12, 23, 10.21163/GT_2017.121.03 Dudás, 2017, A socio-economic analysis of Airbnb in new York City, Regional Stati., 7, 135, 10.15196/RS07108 Garcia-Ayllon, 2018, Urban transformations as an Indicator of unsustainability in the P2P mass tourism phenomenon: the Airbnb case in Spain through three case studies, Sustainability, 10, 2933, 10.3390/su10082933 Garcia-Ayllon, 2018, Urban transformations as an Indicator of unsustainability in the P2P mass tourism phenomenon: the Airbnb case in Spain through three case studies, Sustainability, 10, 2933, 10.3390/su10082933 2017 Gibbons, 2005, Valuing rail access using transport innovations, J. Urban Econ., 57, 148, 10.1016/j.jue.2004.10.002 Gibbs, 2018, Use of dynamic pricing strategies by Airbnb hosts, International Journal of Contemporary Hospitality Management, 10.1108/IJCHM-09-2016-0540 Giglio, 2019, Using social media to identify tourism attractiveness in six Italian Cities, Tour. Manag., 72, 306, 10.1016/j.tourman.2018.12.007 Gravagnuolo, 2020 Grodach, 2013, Cultural economy planning in creative cities, Int. J. Urban Reg. Res., 37, 1747, 10.1111/j.1468-2427.2012.01165.x Gronau, 2007, Key factors for successful leisure and tourism public transport provision, J. Transp. Geogr., 15, 127, 10.1016/j.jtrangeo.2006.12.008 Gunter, 2018, Determinants of Airbnb demand in Vienna and their implications for the traditional accommodation industry, Tour. Econ., 24, 270, 10.1177/1354816617731196 Gunter, 2020, Modeling Airbnb demand to new York City while employing spatial panel data at the listing level, Tour. Manag., 77, 104000, 10.1016/j.tourman.2019.104000 Gurran, 2017, When tourists move in: how should urban planners respond to Airbnb?, J. Am. Plan. Assoc., 83, 80, 10.1080/01944363.2016.1249011 Gutiérrez, 2020, Understanding the spatiality of short-term rentals in Spain: Airbnb and the intensification of the commodification of housing, Geografisk Tidsskrift-Danish, 120, 1 Gutiérrez, 2017, The eruption of Airbnb in tourist cities, Tour. Manag., 62, 278, 10.1016/j.tourman.2017.05.003 Gutiérrez, 2020, Profiling tourists’ use of public transport through smart travel card data, J. Transp. Geogr., 88, 102820, 10.1016/j.jtrangeo.2020.102820 Guttentag, 2019, Progress on Airbnb: a literature review, J. Hosp. Tour. Technol., 10, 814 Hall, 2017 Huh, 2018, Characteristics and spatial patterns of Airbnb in Seoul, J. Korean Urban Geogr. Soc., 21, 65, 10.21189/JKUGS.21.1.5 Jin, 2018, Using user-generated content to explore the temporal heterogeneity in tourist mobility, J. Travel Res., 57, 779, 10.1177/0047287517714906 Kain, 1970, Evaluating the quality of the residential environment, Environ. Plan. A, 2, 23, 10.1068/a020023 Ki, 2019, Spatial distribution and location characteristics of Airbnb in Seoul, Korea, Sustainability, 11, 10.3390/su11154108 Kourtit, 2019, Creative actors and historical-cultural assets in urban regions, Reg. Stud., 53, 977, 10.1080/00343404.2018.1541077 Kourtit, 2019, Cultural heritage appraisal by visitors to global cities: the use of social media and urban analytics in urban buzz research, Sustainability, 11, 10.3390/su11123470 Kourtit, 2020, The Urban Data Deluge; Challenges for Smart Urban Planning in the Third Data Revolution, Int. J. Urban Sci., 24, 445, 10.1080/12265934.2020.1755353 Kozak, 2002, Comparative analysis of tourist motivations by nationality and destinations, Tour. Manag., 23, 221, 10.1016/S0261-5177(01)00090-5 Lee, 2016, How Airbnb short-term rentals exacerbate Los Angeles’s affordable housing crisis: analysis and policy recommendations, Harvard Law Policy Rev., 10, 229 Le-Klaehn, 2015, Tourist use of public transport at destinations–a review, Curr. Issue Tour., 18, 785, 10.1080/13683500.2014.948812 Loo, 2019, Transport geography: towards a more people-oriented approach in the last 25 years, J. Transp. Geogr., 81, 10.1016/j.jtrangeo.2019.102596 Lumsdon, 2006, Transport for tourism: can public transport encourage a modal shift in the day visitor market?, J. Sustain. Tour., 14, 139, 10.1080/09669580608669049 Magno, 2018, Accommodation prices on Airbnb: effects of host experience and market demand, TQM J., 30, 608, 10.1108/TQM-12-2017-0164 Malecki, 2002, The economic geography of the Internet’s infrastructure, Econ. Geogr., 78, 399, 10.2307/4140796 Mason, 2016 McNeill, 2016, Governing a City of unicorns: technology capital and the urban politics of San Francisco, Urban Geogr., 37, 494, 10.1080/02723638.2016.1139868 Müller, 2017, The path of least resistance, KI-Künstliche Intelligenz, 31, 125, 10.1007/s13218-016-0472-6 Önder, 2019, Spatial Price dependencies between the traditional accommodation sector and the sharing economy, Tour. Econ., 25, 1150, 10.1177/1354816618805860 Önder, 2020, Utilizing Facebook statistics in tourism demand modeling and destination Marketin, J. Travel Res., 59, 195, 10.1177/0047287519835969 Oskam, 2018, What’s mine is yours—but at what Price? Dynamic pricing behavior as an Indicator of Airbnb host professionalization, J. Revenue Pricing Manag., 17, 311, 10.1057/s41272-018-00157-3 Pinto, 2019, Applying the lazy user theory to understand the motivations for choosing carpooling over public transport, Sustain. Prod. Consumption, 20, 243, 10.1016/j.spc.2019.07.002 Qian, 2021, Using mobile phone data to determine spatial correlations between tourism facilities, J. Transp. Geogr., 92, 103018, 10.1016/j.jtrangeo.2021.103018 Reggiani, 2015, Did Zipf anticipate spatial connectivity structures?, Environ. Plan. B Plan. Des., 42, 468, 10.1068/b120012p Rodrigues, 2018, Measuring the performance in creative cities, Sustainability, 10, 4023, 10.3390/su10114023 Romao, 2019 Romão, 2018, The Smart City as a common place for tourists and residents: a structural analysis on the determinants of urban attractiveness, Cities, 78, 67, 10.1016/j.cities.2017.11.007 Ruth, 2014, Livability for all? Conceptual Limits and Practical Implications, Appl. Geogr., 49, 18, 10.1016/j.apgeog.2013.09.018 Scott, 2000 Snijders, 1994, Modeled variance in two-level models, Sociological methods & research, 22, 342, 10.1177/0049124194022003004 Snijders, 2011 Tang, 2020, Choice behavior of tourism destination and travel mode: a case study of local residents in Hangzhou, China, J. Transp. Geogr., 89, 102895, 10.1016/j.jtrangeo.2020.102895 Tran, 2020, The (de) motivation factors in choosing Airbnb amongst Vietnamese consumers, J. Hosp. Tour. Manag., 42, 130, 10.1016/j.jhtm.2019.10.011 Tussyadiah, 2016, Factors of satisfaction and intention to use peer-to-peer accommodation, Int. J. Hosp. Manag., 55, 70, 10.1016/j.ijhm.2016.03.005 The International Association of Public Transport, 2018 Uysal, 2012, Quality of life (QOL) and well-being research in tourism, Tour. Manag., 53, 244, 10.1016/j.tourman.2015.07.013 Van der Bijl, 2016 Vanolo, 2008, The image of Creative City, Cities, 25, 370, 10.1016/j.cities.2008.08.001 Virkar, 2018, A review of dimensions of tourism transport affecting tourist satisfaction, Indian Journal of Commerce & Management Studies, 9, 72, 10.18843/ijcms/v9i1/10 Wang, 2017, Price determinants of sharing economy based accommodation rental: a study of listings from 33 cities on Airbnb. Com, Int. J. Hosp. Manag., 62, 120, 10.1016/j.ijhm.2016.12.007 Wang, 2018, Evolution and optimization of China’s urban tourism spatial structure: a high speed rail perspective, Tour. Manag., 64, 218, 10.1016/j.tourman.2017.08.010 Wentrup, 2019, Uberization in Paris – the issue of trust between a digital platform and digital workers, Crit. Perspect. Int. Bus., 15, 20, 10.1108/cpoib-03-2018-0033 Wilkinson, 1973, House prices and the measurement of externalities, Econ. J., 83, 72, 10.2307/2231101 Xu, 2018, The Sharing economy: a geographically weighted regression approach to examine crime and the shared lodging sector, J. Travel Res. Xu, 2020, The influence of neighbourhood environment on airbnb: a geographically weighted regression analysis, Tour. Geogr., 20, 10.1080/14616688.2019.1586987 Ye, 2011, The influence of user-generated content on traveler behavior: an empirical investigation on the effects of E-word-of-mouth to hotel online bookings, Comput. Hum. Behav., 27, 634, 10.1016/j.chb.2010.04.014 Zamparini, 2016, Assessing the determinants of local tourism demand: a simultaneous equations model for the Italian provinces, Tour. Econ., 23, 981, 10.1177/1354816616656423 Zervas, 2015, The rise of the sharing economy: estimating the impact of Airbnb on the hotel industry Zhang, 2019, Assessing Airbnb logistics in cities, Sustainability, 11, 10.3390/su11092462 Zhang, 2011, Modeling hotel room Price with geographically weighted regression, Int. J. Hosp. Manag., 30, 1036, 10.1016/j.ijhm.2011.03.010 Zipf, 1949