A STUDY ON THE CONCEPTUAL MODEL OF THE INFLUENTIAL ELEMENTS OF THROUGHPUT OF TOURISM AIRPORT. ZHU Feng 1,2, BAO Ji-gang 1

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DOI:10.13959/j.issn.1003-2398.2010.03.020 2010 3 113 :1003-2398(2010)03-0128-06 1,2 1, (1., 510275;2., 264209) A STUDY ON THE CONCEPTUAL MODEL OF THE INFLUENTIAL ELEMENTS OF THROUGHPUT OF TOURISM AIRPORT ZHU Feng 1,2, BAO Ji-gang 1 (1.Center for Tourism Planning & Research, Sun Yat-sen University, Guangzhou 510275, China; 2.Business School of Shandong University at Weihai, Weihai 264209, China) Abstract: The demand of tourists for air travel has increased rapidly in recent years and tourists has occupied more than one third of the whole air market. Thus, there seems a trend to build more tourism airports in China. Throughput is an important element when evaluating the feasibility of airports construction. This paper firstly defines the concept of tourism airport and divides tourism airports into two types. Compared with the general city airports, tourism airports have the following characteristics: (1) tourism airports are usually feeder airports and the level of aviation of most of the tourism airports are 4C; (2) the locations of tourism airports mostly are towns, counties or prefectural-level cities; (3) the regional economy of the locations of tourism airports is usually under-developed and it is the demand of tourists but not the residents to construct the airports; (4) scheduled flights are relatively limited and passengers usually need to be transferred from trunk line airports; (5) there are distinct high and low seasons and the throughput varies apparently. The paper presents the concept of ratio of throughput and tourist (RTT, in short) in order to find out the relationship between tourism airports and their geographic distribution. The authors choose 12 airports to study the throughputs and RTT. Since the statistics of tourist is tourist arrivals, but not the actual number of tourists, the paper analyzes the ratio of throughput and tourist arrivals instead of RTT. The result shows that the ratio of throughput and tourist arrivals of each airport were relatively stable in the past five years and the ratios differ along with the airports geographic distribution. This is due to the distance from the main tourist generating areas including Beijing, Shanghai and Guangzhou and their outskirt areas to the southwest and northwest of China is much longer than that from the main tourist generating areas to the east, south and middle of China. Therefore, the geographic distribution of airports in grand scale is the main element that leads to the diversity of the ratio of throughput and tourist arrivals. Furthermore, the authors establish a conceptual model of the influential elements of tourism airports. Key words: tourism airports; throughput; conceptual model :,,,,, : ; ; : F590 : A : 1974 E-mail: zhufeng@sdu.edu.cn :2009-05-13; :2009-12-30 128

1 1/3 [1] 9km 90km [2] 2008 4 1.5 [3]2010 20 [4] 2500 1 [5] 4C 2 3 4 [6-9] 5 [10] 3 3.1 [11] [11] 2 3.2 12 1 129

2010 3 113 100 15 45% 15% 50 5% 4 2 4.1 69 99% 5km 130 1 2004 2008 ( : ) Tab.1 2004-2008 Tourism Airport Throughput (Unit: Ten Thousands Persons) 2004 2008 2004 2008 2 2004 2008 ( ) (%) 2004 2005 2006 2007 2008 Tab.2 2004-2008 Tourism Arrivals of the above Tourism Airports Serving Regions 2004 2005 2006 2007 2008 550 16 664.5 16.5 772.6 14.5 880.7 17.7 199.9 33 2004 2008 364 69 406.6 75.9 454.9 85.9 538.4 98.7 603 99.5 360 25 404.2 27.6 460.1 33.5 530.9 35.9 625 30 1111 26 1205.1 28.1 1338.0 29.9 1530.6 30.5 1600 26.6 274 43 273.1 44.6 359.7 44.3 502.6 36.0 620 26.4 100.2 22.7 120.1 19.5 140 18.5 334 17 375.1 13.9 442.3 12.3 540.2 10.1 567 10 251 8.6 292 10.4 299.6 11.9 334.4 12.0 362.0 10 1269 10 1453 10.9 1676 9.2 1878 8.1 1679 6!" 604 4.6 695 4.6 786.6 4.7 894 4.1 520 5.6 #$ 804 4.3 880.3 4.8 930.8 5.5 1034.1 5.2 992.3 5.3 % 817 4.6 1001.3 3.9 1241 2.9 1535.2 2.1 1801 1.3 90.4 109.7 112.4 155.9 66.0 252.6 308.7 390.6 531.2 600.6 88.9 111.4 154.3 190.6 188.1 290.2 338.5 399.9 466.5 425.9 117.4 121.8 159.4 180.8 163.7 17.8 22.7 23.4 25.9 13.4 55.5 52.3 54.2 54.8 56.5!" 16.8 22.4 30.4 34.5 16.1 #$% 131.8 158.5 153.7 151.7 101.9 & ( 27.6 32.3 36.6 37.0 29.0 )* 34.7 41.9 50.8 53.8 52.3 & + 37.3 38.9 36.6 32.0 22.7 &

90 32 40 88km 43km 2010 80 2004 90.43 2006 2009 1 2 4.2.4 4.2 435km 4.2.1 10 12 4 5 4.2.5 10 500km [12] 26 13 113 12 9 4 500km 2 4 4.2.2 900 1200 [13] 3440 3:1 [14] 4.2.3 2.1 4.6% 131

2010 3 113 4C >!"#$%& ( &) [14] 400km 200km *+,-. %/01 234 56 234 5 Fig.1 The Conceptual Model of Throughput Forecast of 5.1 Tourism Airports 5.3.1 1 2004 30% 2007 131.2 2008 75.2 4C 2 300km 4 1000km 10 3 184km 5.2 100 150 / 16 30% 15 1 45 2013 22 5.3 2007 8 1.25 2008 1.6 5.3.2 1996 12 28 20 140 132 789: ;<= 1

80 90 30 50 1 2007 1000km 1000 2008 300km [15] [10] 500 2020 6 6.1 : [1]. 2007/2008 [EB/OL]. http: //www.caac.gov.cn/h1/h2/200808/t20080828_18587.html, 2009-03- 06. 1984 90 [2]. [EB/OL]. http://www.airnews.cn., 2009-08-20. 15 / [3]. 4 [EB/OL]. 2003 125 / http://zfxxgk.ndrc.gov.cn/publicitemview.aspx?itemid = d54bdd16-0d7d-454a-9ee0-4aa39140349b}, 2009-03-06. 90 [4]. [EB/OL]. http://www.caac. gov.cn/a1/200811/t20081114_20132.html,2008-11-14. [5],. [J].,2007, 11(6):54-57. 2007 130 [6] Brooke A S, Caves R E, Pitfield D E. Methodology for Predicting European Short-haul Air Transport Demand from Regional Airports [J]. 30 40 / Journal of Air Transport Management, 1994,1(1):37-46. [7] Richard C Cline, et al. Air Transportation Demand Forecasts In E- merging Market Economies: A Case Study Of The Kyrgyz Republic In The Former Soviet Union [J]. Journal of Air Transport Management, 1998,4(1):11-23. [8] Tobias Grosche, Franz Rothlauf, Armin Heinzl. Gravity Models for Airline Passenger Volume Estimation [J]. Journal of Air Transport 6.2 Management,2007,13(4):175-183. [9] Terminal Area Forecast Summary, Fiscal Years 2004-2020[M].U. S. Department of Transportation, Federal Aviation Administration,FAA -APO - 05-1,2005. :,. [J].,2007,22(4):658-663. [10],,. [J].,2005,41(5):26-28. 1 2 [11]., [N].,2009-04-17(1). [12],. [J].,2005,24(5):774-784. [13]. [EB/OL]. http:/www.qunar.com,2009-04-25. [14]. [EB/OL]. http:/www.huoche.com.cn, 2009-03-06. [15]., 500 [EB/OL].http://www.ndrc.gov.cn/dqjj/zhdt/t20080331_201960.html, 6.3 2009-03-06. 133