Spillover Effects of Mega-Events: The Influences of Residence, Transportation Mode, and Staying Period on Attraction Networks during Olympic Games

作者: Kim , Kang

DOI: 10.3390/SU12031206

关键词: Spillover effectDowntownRentingAttractionEconomic geographyResidenceBusinessGovernmentDestinationsPublic transport

摘要: When hosting mega-events such as the Olympic games, increased visitation to nearby local attractions is expected boost economy and sustain host city’s brand. These spillover effects, well spatial interaction among touristic attractions, are critical from long-term sustainable-planning perspectives. This study investigates tourists’ patterns of multiple destinations during 2018 Winter Olympics finds that attraction networks originated three major cores, forming a strong northern sandy beach–south downtown connection. The domestic visitors’ network had significantly more diverse implying city branding may have been limited boundaries. Transportation modes significant impact, public transportation walking cores were denser. staying period no impact on number or connection strengths—even lower core values; however, was denser, suggesting longer stay not imply destination visits. findings suggest enhanced international profile in only fashion. Our provide following practical implications. planning spots, government can consider strategically scattering infrastructure facilities, rather than for single spot. Well-organized designed routes systems contribute effects versus car rental system developments.

参考文章(39)
Juan Carlos García-Palomares, Javier Gutiérrez, Carmen Mínguez, Identification of tourist hot spots based on social networks: A comparative analysis of European metropolises using photo-sharing services and GIS Applied Geography. ,vol. 63, pp. 408- 417 ,(2015) , 10.1016/J.APGEOG.2015.08.002
Alain Decrop, DESTINATION CHOICE SETS An Inductive Longitudinal Approach Annals of Tourism Research. ,vol. 37, pp. 93- 115 ,(2010) , 10.1016/J.ANNALS.2009.08.002
Yingjie Hu, Song Gao, Krzysztof Janowicz, Bailang Yu, Wenwen Li, Sathya Prasad, None, Extracting and understanding urban areas of interest using geotagged photos Computers, Environment and Urban Systems. ,vol. 54, pp. 240- 254 ,(2015) , 10.1016/J.COMPENVURBSYS.2015.09.001
Marion Karl, Christine Reintinger, Jürgen Schmude, Reject or select: Mapping destination choice Annals of Tourism Research. ,vol. 54, pp. 48- 64 ,(2015) , 10.1016/J.ANNALS.2015.06.003
Mathias Versichele, Liesbeth de Groote, Manuel Claeys Bouuaert, Tijs Neutens, Ingrid Moerman, Nico Van de Weghe, Pattern mining in tourist attraction visits through association rule learning on Bluetooth tracking data: A case study of Ghent, Belgium Tourism Management. ,vol. 44, pp. 67- 81 ,(2014) , 10.1016/J.TOURMAN.2014.02.009
Sang-Hyun Lee, Jin-Yong Choi, Seung-Hwan Yoo, Yun-Gyeong Oh, Evaluating spatial centrality for integrated tourism management in rural areas using GIS and network analysis Tourism Management. ,vol. 34, pp. 14- 24 ,(2013) , 10.1016/J.TOURMAN.2012.03.005
Haiyan Song, Gang Li, Stephen F. Witt, George Athanasopoulos, Forecasting tourist arrivals using time-varying parameter structural time series models International Journal of Forecasting. ,vol. 27, pp. 855- 869 ,(2011) , 10.1016/J.IJFORECAST.2010.06.001
Michael A. Hunt, John L. Crompton, Investigating Attraction Compatibility in an East Texas City International Journal of Tourism Research. ,vol. 10, pp. 237- 246 ,(2008) , 10.1002/JTR.652
Martin Oppermann, A Model of Travel Itineraries Journal of Travel Research. ,vol. 33, pp. 57- 61 ,(1995) , 10.1177/004728759503300409
G. Wall, Competition and complementarity: a study in park visitation. International Journal of Environmental Studies. ,vol. 13, pp. 35- 41 ,(1978) , 10.1080/00207237808709802