旅游学刊
旅遊學刊
여유학간
Tourism Tribune
2014年
6期
57~66
,共null页
区域旅游线路 复杂网络 旅游线路选线模式 福建省
區域旅遊線路 複雜網絡 旅遊線路選線模式 福建省
구역여유선로 복잡망락 여유선로선선모식 복건성
regional travel itinerary;complex network;travel itinerary selection mode; Fujian Province
区域旅游线路呈现出的空间几何特征及其地理拓扑关系可以运用复杂网络工具进行剖析。该研究在国内外相关研究的基础上,以福建省为例,分别对省内出发和省外出发两种不同空间尺度的旅游线路进行定量分析,利用从出发地到各个旅游目的地形成的地理拓扑关系建构区域旅游网络.在此基础上从空间平均距离、形态指数、点度分布、中间性、匹配性、鲁棒性等统计量来分析旅游线路的空间网络结构。研究表明,多重区域旅游线路组合形成的网络整体上呈现出无标度网络特征,知名旅游目的地在网络中占据着核心位置;区域旅游线路的空间网络结构反映出福建省各旅游目的地的跨区合作已初见端倪,但仍需深化推行产业集群区的跨区域合作经营;从点度的分布方面,省内旅游市场中的旅游线路在空间尺度上对旅游目的地的覆盖范围更加广泛,且各目的地的点度分布较为均衡,而省外旅游市场则仍需继续与区域旅游的非核心目的地进行深度整合。
區域旅遊線路呈現齣的空間幾何特徵及其地理拓撲關繫可以運用複雜網絡工具進行剖析。該研究在國內外相關研究的基礎上,以福建省為例,分彆對省內齣髮和省外齣髮兩種不同空間呎度的旅遊線路進行定量分析,利用從齣髮地到各箇旅遊目的地形成的地理拓撲關繫建構區域旅遊網絡.在此基礎上從空間平均距離、形態指數、點度分佈、中間性、匹配性、魯棒性等統計量來分析旅遊線路的空間網絡結構。研究錶明,多重區域旅遊線路組閤形成的網絡整體上呈現齣無標度網絡特徵,知名旅遊目的地在網絡中佔據著覈心位置;區域旅遊線路的空間網絡結構反映齣福建省各旅遊目的地的跨區閤作已初見耑倪,但仍需深化推行產業集群區的跨區域閤作經營;從點度的分佈方麵,省內旅遊市場中的旅遊線路在空間呎度上對旅遊目的地的覆蓋範圍更加廣汎,且各目的地的點度分佈較為均衡,而省外旅遊市場則仍需繼續與區域旅遊的非覈心目的地進行深度整閤。
구역여유선로정현출적공간궤하특정급기지리탁복관계가이운용복잡망락공구진행부석。해연구재국내외상관연구적기출상,이복건성위례,분별대성내출발화성외출발량충불동공간척도적여유선로진행정량분석,이용종출발지도각개여유목적지형성적지리탁복관계건구구역여유망락.재차기출상종공간평균거리、형태지수、점도분포、중간성、필배성、로봉성등통계량래분석여유선로적공간망락결구。연구표명,다중구역여유선로조합형성적망락정체상정현출무표도망락특정,지명여유목적지재망락중점거착핵심위치;구역여유선로적공간망락결구반영출복건성각여유목적지적과구합작이초견단예,단잉수심화추행산업집군구적과구역합작경영;종점도적분포방면,성내여유시장중적여유선로재공간척도상대여유목적지적복개범위경가엄범,차각목적지적점도분포교위균형,이성외여유시장칙잉수계속여구역여유적비핵심목적지진행심도정합。
The management of tour destinations is profoundly influenced by the spatial characteristics of regional tourist itineraries. These characteristics, including spatial geometric features and topological relations, can be analyzed by the Complex Network Tools of Graph Theory. Complex network tools analysis is adapted in this research in regard to the tourist itineraries of Fujian Province, China. Based on domestic and foreign studies and tourist itinerary data collected from domestic public travel agent websites (randomly selecting 262 inter-provincial itineraries and 321 itineraries within the province of Fujian from the period January to February 2013), this research develops a quantitative model of the regional tourism networks of the province. The model was built by exploring the topological relationships between origins and destinations as revealed in these itineraries. The values of relationship indicators like average spatial distance, morphological index, degree distribution, betweenness, assortative mixing, and robustness were generated to assist in analyzing the spatial network structure of tourist itineraries. In structuring itineraries within the province and inter-provincial itineraries from the collected data using ArcGIS 10.0, it can be seen that the spatial structure of inter-provincial itineraries lies on one axis with multi-subnets, while that of itineraries within the province is asteroid. On the one hand, the rank- size analysis shown by degree of distribution suggests that inter-provincial tourism destination exploration tends to be balanced, with a concentration on multiple selections and dispersed distribution. On the other hand, destination distribution within the province is concentrated on famous domestic destinations. With regard to itinerary selection patterns, inter-provincial itineraries tend to be short but intensive tours, while itineraries within the province are mainly long trips. Finally, in terms of network survivability, the regional tourist itinerary network generally has a stronger and more stable local tourism component. Within this pattern, the itinerary network within the province is obviously weak when compared with the inter-provincial itinerary network, and easily disconnects from other regional destinations once the main destination is reached. The results indicate that, overall, the tourism development of Fujian Province is transitioning from exploration to expansion along the tourism destination life cycle. When this research outcome is compared with previous research results it can be seen that famous inter-provincial destinations (such as Xiamen and Wuyishan) remain the core of the network in both popularity and capacity, while the Tulou district and most seaside areas have become increasingly important in recent years. The overall network emerging from this study of multi-regional itinerary combinations shows the characteristics of a scale-free network. However, a great difference exists between itineraries within the province and inter-provincial itineraries in terms of their spatial network characteristics. Moreover, while the spatial network structure identified by our study implies the birth of cross-regional cooperation among tourism destinations in Fujian, it also shows that more cross-regional cooperation among industrial clusters is badly needed. From the degree of distribution data, it can be seen that the coverage of inter- provincial itineraries in the tourism market is increasing, and that the degree of distribution of every destination is relatively balanced. Nevertheless, further integration of peripheral destinations into the network is necessary.