In this study, we apply an agent-based modeling approach to understand individual visitors’ multidestination travel patterns and the spatial spillover effects in visitor flows as an aggregate outcome. Based on previous literature, we specify three hypothetic visitor categories (global optimizers, sequential optimizers, and radial optimizers) according to visitors’ attraction selection rules. We conduct an ABM simulation with a sample of 341 Chinese cities as destinations and 1,990 attractions to measure the degree of spillover between destinations by observing the frequency with which visitors traveling across destination boundaries visited attractions in other destinations. The simulation results demonstrate slightly different spillover effects based on visitor type and highlight three regions with particularly strong spillover effects: the Bohai Rim region, the Yangtze River Delta region, and the Sichuan and Chongqing region. These results appear consistent with those of exploratory spatial data analysis in a validation check. Lastly, policy implications are provided.
AndrazJorge M.NorteNélia M.GonçalvesHugo S.2015.
“Do Tourism Spillovers Matter in Regional Economic Analysis? An Application to Portugal.” Tourism Economics22 (5): 939–63.
2.
AnselinL.2006. “Spatial Econometrics.” In Palgrave Hand Book of Econometrics, edited by MillsT. C.PattersonK.Basingstoke, UK:
Palgrave Macmillan.
3.
BalliFarukCurryJoshuaBalliHatice Ozer. 2015.
“Inter-regional Spillover Effects in New Zealand International Tourism Demand.” Tourism Geographies17 (2): 262–78.
4.
BalliFarukTsuiWai Hong Kan. 2015.
“Tourism Demand Spillovers between Australia and New Zealand.” Journal of Travel Research55 (6): 804–12.
5.
BassilCharbel.2014.
“The Effect of Terrorism on Tourism Demand in the Middle East.” Peace Economics, Peace Science and Public Policy20 (4): 669.
6.
Boavida-PortugalInêsFerreiraCarlos CardosoRochaJorge. 2017.
“Where to Vacation? An Agent-Based Approach to Modelling Tourist Decision-Making Process.” Current Issues in Tourism20 (15): 1557–74.
7.
CaniëlsMarjolein C. J.VerspagenBart. 2001.
“Barriers to Knowledge Spillovers and Regional Convergence in an Evolutionary Model.” Journal of Evolutionary Economics11 (3): 307–29.
8.
ChhetriAnjaliChhetriPremArrowsmithColinCorcoranJonathan. 2017.
“Modelling Tourism and Hospitality Employment Clusters: A Spatial Econometric Approach.” Tourism Geographies19 (3): 398–424.
GooroochurnN.HanleyA.2005.
“Spillover Effects in Long-Haul Visitors between Two Regions.” Regional Studies39 (6): 727–38.
15.
HotiSuhejlaMcAleerMichaelShareefRiaz. 2007.
“Modelling International Tourism and Country Risk Spillovers for Cyprus and Malta.” Tourism Management28 (6): 1472–84.
16.
HwangYeong-HyeonFesenmaierDaniel R.2003.
“Multidestination Pleasure Travel Patterns: Empirical Evidence from the American Travel Survey.” Journal of Travel Research42 (2): 166–71.
17.
ItamiRobertRaulingsRobMacLarenGlenHirstKathleenGimblettRandyZanonDinoChladekPeter. 2003.
“RBSim 2: Simulating the Complex Interactions between Human Movement and the Outdoor Recreation Environment.” Journal for Nature Conservation11 (4): 278–86.
JohnsonPeter A.SieberRenee. 2009. “Agent-Based Modelling: A Dynamic Scenario Planning Approach to Tourism PSS.” In Planning Support Systems Best Practice and New Methods, edited by GeertmanS.StillwellJ.Dordrecht:
Springer Netherlands.
20.
JohnsonPeter A.SieberRenee E.2011.
“An Agent-Based Approach to Providing Tourism Planning Support.” Environment and Planning B: Planning and Design38 (3): 486–504.
21.
JohnsonPeterNichollsSarahStudentJillianAmelungBasBaggioRodolfoBalbiStefanoBoavida-PortugalInêsde JongElineHofstedeGert JanLamersMachiel. 2016.
“Easing the Adoption of Agent-Based Modelling (ABM) in Tourism Research.” Current Issues in Tourism20 (8): 801–8.
22.
KangSanghoonKimJinwonNichollsSarah. 2014.
“National Tourism Policy and Spatial Patterns of Domestic Tourism in South Korea.” Journal of Travel Research53 (6): 791–804.
23.
KangSanghoonLeeGyeheeKimJinwonParkDeukhee. 2018.
“Identifying the Spatial Structure of the Tourist Attraction System in South Korea Using GIS and Network Analysis: An Application of Anchor-Point Theory.” Journal of Destination Marketing & Management9:358–70.
24.
KooTay T. R.LauPong-LungDwyerLarry. 2016.
“The Geographic Dispersal of Visitors.” Journal of Travel Research56 (1): 108–21.
25.
KooTay T. R.WuCheng-LungDwyerLarry. 2012.
“Dispersal of Visitors within Destinations: Descriptive Measures and Underlying Drivers.” Tourism Management33 (5): 1209–19.
26.
LazzerettiLucianaCaponeFrancesco. 2009.
“Spatial Spillovers and Employment Dynamics in Local Tourist Systems in Italy (1991–2001).”European Planning Studies17 (11): 1665–83.
27.
Le GalloJulieErturCem. 2003.
“Exploratory Spatial Data Analysis of the Distribution of Regional per Capita GDP in Europe, 1980–1995.”Papers in Regional Science82 (2): 175–201.
28.
LewAlanMcKercherBob. 2006.
“Modeling Tourist Movements: A Local Destination Analysis.” Annals of Tourism Research33 (2): 403–23.
29.
LiShanWangZheng. 2009.
“Computable Models on the Temporal and Spatial Scale of an Optimum Tourism Destination Circle.” Acta Geographica Sinica64 (10): 1255–66.
30.
LiShanWangHuiWangZheng. 2005.
“A Study on Tour-Time Planning of Domestic Sightseeing Travel Itineraries.” Human Geography20 (2): 51–56.
31.
LiShanWangZhengZhongZhangqi. 2012.
“Gravity Model for Tourism Spatial Interaction: Basic Form, Parameter Estimation, and Applications.” Acta Geographica Sinica67 (4): 526–44.
32.
LiShanXiaoMinZhangKunWuJingWangZheng. 2011.
“Measuring Tourism Spillover Effects among Cities: Improvement of the Gap Model and a Case Study of the Yangtze River Delta.” Journal of China Tourism Research7 (2): 184–206.
33.
LueChi-ChuanCromptonJohn L.FesenmaierDaniel R.1993.
“Conceptualization of Multi-destination Pleasure Trips.” Annals of Tourism Research20 (2): 289–301.
34.
LueChi-ChuanCromptonJohn L.StewartWilliam P.1996.
“Evidence of Cumulative Attraction in Multidestination Recreational Trip Decisions.” Journal of Travel Research35 (1): 41–49.
35.
MaMingcaoWengJinYuLarry. 2015.
“Market Size, Scale Economies, and Tourism Market Structure: A Case of Historic Water Town Tourism in China.” Tourism Management49:119–37.
36.
MajewskaJustyna.2015.
“Inter-regional Agglomeration Effects in Tourism in Poland.” Tourism Geographies17 (3): 408–36.
37.
MaoZhenxingYangYang. 2016.
“FDI spillovers in the Chinese Hotel Industry: The Role of Geographic Regions, Star-Rating Classifications, Ownership Types, and Foreign Capital Origins.” Tourism Management54:1–12.
38.
MarrocuEmanuelaPaciRaffaele. 2013.
“Different Tourists to Different Destinations: Evidence from Spatial Interaction Models.” Tourism Management39:71–83.
39.
MasieroLorenzoYangYangQiuRichard T. R.2019.
“Understanding Hotel Location Preference of Customers: Comparing Random Utility and Random Regret Decision Rules.” Tourism Management73:83–93.
40.
MinWeiJuanYang. 2011.
“Irrational Tourism Consumption of Zero Inclusive-Fee and Negative Inclusive-Fee: Reflection and Measurements.” Energy Procedia5:1416–24.
41.
NichollsSarahAmelungBasStudentJillian. 2016.
“Agent-Based Modeling—A Powerful Tool for Tourism Researchers.” Journal of Travel Research56 (1): 3–15.
42.
NicolauJuan L.MásFrancisco J.2008.
“Sequential Choice Behavior: Going on Vacation and Type of Destination.” Tourism Management29 (5): 1023–34.
43.
ÖnderIrem.2017.
“Classifying Multi-destination Trips in Austria with Big Data.” Tourism Management Perspectives21:54–58.
44.
PapatheodorouAndreas.2001.
“Why People Travel to Different Places.” Annals of Tourism Research28 (1): 164–79.
45.
PatuelliRobertoMussoniMaurizioCandelaGuido. 2013.
“The Effects of World Heritage Sites on Domestic Tourism: A Spatial Interaction Model for Italy.” Journal of Geographical Systems15 (3): 369–402.
46.
Perles-RibesJosé FranciscoRamón-RodríguezAna BelénMoreno-IzquierdoLuisTorregrosa MartíMaría Teresa. 2018.
“Winners and Losers in the Arab Uprisings: A Mediterranean Tourism Perspective.” Current Issues in Tourism21 (16): 1810–29.
47.
PonsMarcJohnsonPeter A.RosasMartíJoverEric. 2014.
“A Georeferenced Agent-Based Model to Analyze the Climate Change Impacts on Ski Tourism at a Regional Scale.” International Journal of Geographical Information Science28 (12): 2474–94.
48.
QiuRongxuXuWeiLiShan. 2016.
“Agent-Based Modeling of the Spatial Diffusion of Tourist Flow—A Case Study of Sichuan, China.” Journal of China Tourism Research12 (1): 85–107.
49.
ReintingerChristineBerghammerAnjaSchmudeJürgen. 2016.
“Simulating Changes in Tourism Demand: A Case Study of Two German Regions.” Tourism Geographies18 (3): 233–57.
50.
SantosGlauber Eduardo de OliveiraRamosVicenteRey-MaquieiraJavier. 2012.
“Determinants of Multi-destination Tourism Trips in Brazil.” Tourism Economics18 (6): 1331–49.
51.
SenAshishSmithTony E.1995. Gravity Models of Spatial Interaction Behavior.
Berlin:
Springer.
52.
Sheng, Laiyun and Jianhui Yan. 2013. China Statistical Yearbook for Regional Economy 2013. Beijing: China Statistics Press.
53.
ShihHsin-Yu.2006.
“Network Characteristics of Drive Tourism Destinations: An Application of Network Analysis in Tourism.” Tourism Management27 (5): 1029–39.
54.
SmithStephen L. J.1983. Recreation Geography.
New York:
Longman.
55.
SobollAnjaSchmudeJuergen. 2011.
“Simulating Tourism Water Consumption under Climate Change Conditions Using Agent-Based Modeling: The Example of Ski Areas.” Annals of the Association of American Geographers101 (5): 1049–66.
StienmetzJason L.FesenmaierDaniel R.2019.
“Destination Value Systems: Modeling Visitor Flow Structure and Economic Impact.” Journal of Travel Research58 (8): 1249–61.
58.
TangXiaoliLiShan. 2016.
“An Optimized Gap Model to Measure Inter-regional Tourism Spillover Effects: A Demand Perspective.” Tourism Tribune31 (6): 17–37.
59.
TideswellCarmenFaulknerBill. 1999.
“Multidestination Travel Patterns of International Visitors to Queensland.” Journal of Travel Research37 (4): 364–74.
60.
TussyadiahIis P.KonoTatsuhitoMorisugiHisa. 2006.
“A Model of Multidestination Travel: Implications for Marketing Strategies.” Journal of Travel Research44 (4): 407–17.
WattanacharoensilWalanchaleeLa-ornualDolchai. 2019.
“A Systematic Review of Cognitive Biases in Tourist Decisions.” Tourism Management75:353–69.
63.
Wu, Wenxue. 2013. China Tourist Attraction Development Report 2012. Beijing: China Travel & Tourism Press.
64.
WuBihuTangJunyaHuangAnminZhaoRongQiuFudongFangFang. 1997.
“A Study on Destination Choice Behavior of Chinese Urban Residents.” Acta Geographica Sinica52 (2): 97–103.
65.
YangYangFikTimothy. 2014.
“Spatial Effects in Regional Tourism Growth.” Annals of Tourism Research46:144–62.
66.
YangY.FikT.ZhangJ.2013.
“Modeling Sequential Tourist Flows: Where Is the Next Destination?” Annals of Tourism Research43:297–320.
67.
YangYangFikTimothy J.ZhangHong-lei. 2017.
“Designing a Tourism Spillover Index Based on Multidestination Travel: A Two-Stage Distance-Based Modeling Approach.” Journal of Travel Research56 (3): 317–33.
68.
YangYangWongKevin K. F.2012.
“A Spatial Econometric Approach to Model Spillover Effects in Tourism Flows.”Journal of Travel Research51 (6): 768–78.
69.
ZalatanAntoine.1996.
“The Determinants of Planning Time in Vacation Travel.” Tourism Management17 (2): 123–31.
70.
ZhouBoYangBiLiHengyunQuHailin. 2017.
“The Spillover Effect of Attractions—Evidence from Eastern China.”Tourism Economics23 (4): 731–43.
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