Analysis on the Spatial Structure and Interaction of Aviation Network and Tourism Efficiency Network in Major Cities in China
DOI:
https://doi.org/10.54097/ajmss.v2i1.6504Keywords:
Aviation Network, Tourism Efficiency Network, Spatial Structure Characteristics, Interaction Effects, China, Major CitiesAbstract
Tourism efficiency is crucial for measuring sustainable tourism development. Examining the relationship between aviation and tourism efficiency networks is key to promoting their synergistic development in China's urban areas. This study employs various methods, such as complex network analysis method, entropy-weighted TOPSIS, tourism efficiency gravity model, and quadratic assignment procedure, to analyze the networks' spatial structure evolution characteristics and interaction effects. Results show that (1) China's major cities' aviation network has improved its organizational efficiency and formed a "double rhombus-single axis" spatial evolution pattern of the axis-spoke network. The number of intermediary networks and hub cities in the central and western regions has increased. (2) The tourism efficiency network adopts a "honeycomb" structure pattern with the simultaneous layout of "point-to-point" and "star" networks. The network's tourism efficiency follows "Pareto's Law," and tourism cities above the second level form a club group development. The tourism efficiency development potential area is shifting to the southwest. (3) The aviation and tourism efficiency networks exhibit a clear trend of synergistic evolution with a "path locking" phenomenon between them. Differences in tourism resource endowment, labor advantage, and capital advantage positively impact the aviation network's structure. Conversely, differences in revenue capacity and market scale negatively impact the structure. The aviation scale advantage, openness, intimacy, and influence exhibit decreasing positive effects on the tourism efficiency network's structure.
Downloads
References
Tsiotas D, Niavis S, Polyzos S. The dynamics of small and peripheral airports in tourism and regional development: the case of Greece[C] Strategic Innovative Marketing and Tourism: 7th ICSIMAT, Athenian Riviera, Greece, 2018. 2019: 781
TAYLOR P. Urban hinterworlds: Geographies of corporate service provision under conditions of contemporary globalisation [J]. Geography, 2001:51.
Jiaoe W, Jie H. Theoretical Innovation and Practical Application of Transportation-Region Development Interactions [J]. Advances in Earth Science, 2022, 37 (2):177.
Myrdal G. An american dilemma [J]. Race, 1962, 4 (1):3.
Tsui K W H. Does a low-cost carrier lead the domestic tourism demand and growth of New Zealand? [J]. Tourism Management, 2017, 60:390.
Dobruszkes F, Mondou V. Aviation liberalization as a means to promote international tourism: The EU-Morocco case [J]. Journal of Air Transport Management, 2013, 29:23.
Tang C Z, Weaver D, Lawton L. Can stopovers be induced to revisit transit hubs as stayovers? A new perspective on the relationship between air transportation and tourism [J]. Journal of Air Transport Management, 2017, 62:54.
Koo T T R, Tan D T, Duval D T. Direct air transport and demand interaction: A vector error-correction model approach [J]. Journal of Air Transport Management, 2013, 28:14.
Zhou F, Wu J, Wu P, et al. Comparative research on the transportation accessibility of main inbound tourism cities in China [J]. Tourism Tribune, 2016, 31 (2):12.
Yang Y, Li D, Li X. Public Transport Connectivity and Intercity Tourist Flows [J]. Journal of Travel Research, 2019, 58 (1):25.
Mazzola F, Cira A, Ruggieri G, et al. Air transport and tourism flows to islands: A panel analysis for southern European countries [J]. International Journal of Tourism Research, 2022, 24 (5):639.
Hussain M N. Evaluating the impact of air transportation, railway transportation, and trade openness on inbound and outbound tourism in BRI countries [J]. Journal of Air Transport Management, 2023, 106:102307.
Wang J E, Wang H, Jiao J J. The relationship between the development level of civil aviation and tourism in China. Scientia Geographica Sinica 2016, 36, 1125-1133.
Warnock-Smith D, Morrell P. Air transport liberalisation and traffic growth in tourism-dependent economies: A case-history of some US-Caribbean markets [J]. Journal of Air Transport Management, 2008, 14 (2):82.
Forsyth P. Martin Kunz Memorial Lecture. Tourism benefits and aviation policy [J]. Journal of Air Transport Management, 2006, 12 (1):3.
Balsalobre-Lorente D, Driha O M, Bekun F V, et al. The asymmetric impact of air transport on economic growth in Spain: fresh evidence from the tourism-led growth hypothesis [J]. Current Issues in Tourism, 2021, 24 (4):503.
Eric T N, Semeyutin A, Hubbard N. Effects of enhanced air connectivity on the Kenyan tourism industry and their likely welfare implications [J]. Tourism Management, 2020, 78.
Khadaroo J, Seetanah B. The role of transport infrastructure in international tourism development: A gravity model approach [J]. Tourism Management, 2008, 29 (5):831.
Khan S A R, Dong Q L, Wei S B, et al. Travel and tourism competitiveness index: The impact of air transportation, railways transportation, travel and transport services on international inbound and outbound tourism [J]. Journal of Air Transport Management, 2017, 58:125.
Divisekera S. Interdependencies of demand for international air transportation and international tourism [J]. Tourism Economics, 2016, 22 (6):1191.
Chung J Y, Whang T. The impact of low cost carriers on Korean Island tourism [J]. Journal of Transport Geography, 2011, 19 (6):1335.
Wu C T, Jiang Q Y, Yang H J. Changes in cross-strait aviation policies and their impact on tourism flows since 2009 [J]. Transport Policy, 2018, 63:61.
Khadaroo J, Seetanah B. Transport infrastructure and tourism development [J]. Annals of Tourism Research, 2007, 34 (4):1021.
Wang, M. Exploration on the interactive development of civil aviation transportation and tourism in the western ethnic areas. Journal of Southwest Minzu University(Humanities and Social Science) 2015, 36, 151-155.
Tian F J, Yang Y, Jiang L. Spatial spillover of transport improvement on tourism growth [J]. Tourism Economics, 2022, 28 (5):1416.
Wu J F, Ren S P, Han L R, Wang Y Q. Chinese aviation international network and its impact on inbound tourism [J]. Economic Geography 2012, 32, 147-152.
Ji C Y, Zhang H Y. Dynamic relationship between civil aviation, tourism and economic growth: based on panel data analysis of tourist cities in China [J]. Tourism Tribune 2021, 36, 40-53.
Law C C H, Zhang Y H, Gow J, et al. Dynamic relationship between air transport, economic growth and inbound tourism in Cambodia, Laos, Myanmar and Vietnam [J]. Journal of Air Transport Management, 2022, 98.
Pavlyuk D. Implication of spatial heterogeneity for airports' efficiency estimation [J]. Research in Transportation Economics, 2016, 56:15.
Fernandez X L, Coto-Millan P, Diaz-Medina B. The impact of tourism on airport efficiency: The Spanish case [J]. Utilities Policy, 2018, 55:52.
Ji X F, Liu C Y, Li J M. Temporal-spatial evolution characteristics of regional aviation network driven by tourism [J]. Economic Geography 2017, 37, 205-212.
Saenz-de-Miera O, Rossello J. Modeling tourism impacts on air pollution: The case study of PM10 in Mallorca [J]. Tourism Management, 2014, 40:273.
Wang B, Lei Y Q, Zhang Q. Spatial structure evolution of international air network in the south China sea region [J]. Human Geography 2022, 37, 164-170.
Wang Y F, Xu H D, Wang G H. Research on urban spatial correlation and economic spillover effect under the influence of rapid transportation network--Take aviation and high-speed rail networks as examples [J]. Chinese Journal of Management Science, 1-16.
Zheng B M, Liu A L, Han J L, Ming Q Z. Zhang, X. The structural evolutionof Yunnan tourism economic contact network and the construction of cooperative development model [J]. Economic Geography 2021, 41, 222-231.
Liu, J. Lectures on whole network approach: a practical guide to UCINET (2nd); Gezi Publishing House & Shanghai People's Publishing House: 2019.
Liu C M, Zhang R Y, Wang M, et al. Measurement and Prediction of Regional Tourism Sustainability: An Analysis of the Yangtze River Economic Zone, China [J]. Sustainability, 2018, 10 (5)
Li G B, Tian Y P. Validity analysis of tourism resources competitiveness and tourism development level in Pearl River Delta [J]. Economic Geography 2019, 39, 218-224+239.
Piya S, Shamsuzzoha A, Azizuddin M, et al. Integrated Fuzzy AHP-TOPSIS Method to Analyze Green Management Practice in Hospitality Industry in the Sultanate of Oman [J]. Sustainability, 2022, 14 (3)
Yang G M, Yang Y R, Gong G F, et al. The Spatial Network Structure of Tourism Efficiency and Its Influencing Factors in China: A Social Network Analysis [J]. Sustainability, 2022, 14 (16)
Zhao S S, Huang T, Xi J C. Understanding the Evolution of Regional Tourism Efficiency: Through the Lens of Evolutionary Economic Geography [J]. Sustainability, 2022, 14 (17)
Liu Z L, Lu C P, Mao J H, et al. Spatial-Temporal Heterogeneity and the Related Influencing Factors of Tourism Efficiency in China [J]. Sustainability, 2021, 13 (11)
Sun Z R, Fan J, Sun Y, Liu H C. Structural characteristics and influencing factors of spatial correlation network of green science and technology innovation efficiency in China [J]. Economic Geography 2022, 42, 33-43.
Wang R, Xia B, Dong S C, et al. Research on the Spatial Differentiation and Driving Forces of Eco-Efficiency of Regional Tourism in China [J]. Sustainability, 2021, 13 (1)
Wang J, Xu J H, Xia J C. Study on the spatial correlation structure of China’s tourism economic and its effect: based on social network analysis [J]. Tourism Tribune 2017, 32, 15-26.
Wang Y W, Xi M M, Chen H, et al. Evolution and Driving Mechanism of Tourism Flow Networks in the Yangtze River Delta Urban Agglomeration Based on Social Network Analysis and Geographic Information System: A Double-Network Perspective [J]. Sustainability, 2022, 14 (13).
Huang R, Xie C, Lai F, et al. Analysis of the Characteristics and Causes of Night Tourism Accidents in China Based on SNA and QAP Methods [J]. International journal of environmental research and public health, 2023, 20 (3).
Yin J, Cheng Y, Wang K. DECONSTRUCTING THE TOURISM COOPERATION NETWORK IN THE NORTHEAST ASIA REGION: CHARACTERISTICS AND ATTURIBUTES [J]. Transformations in Business & Economics, 2020, 19 (2B):783.
An S H, Yu R K. Review on Complex Network Theory Research [J]. Computer Systems & Applications 2020, 29, 26-31.
Jin F J, Wang C J. Hub and spoke system and China aviation network organization [J]. Geographical Research 2005, 774-784.
Downloads
Published
Issue
Section
How to Cite
