Analysis of Complex Transportation Network and Its Tourism Utilization Potential: A Case Study of Guizhou Expressways
المؤلفون المشاركون
Xi, Jianchao
Chen, Sihong
Liu, Menghao
Li, Tao
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-22، 22ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-07-06
دولة النشر
مصر
عدد الصفحات
22
التخصصات الرئيسية
الملخص EN
Transportation is an example of a typical, open, fluid complex network system.
Expressways are one form of complex transportation networks, and expressway service areas serve as infrastructure nodes in the expressway transportation network; hence, their construction has a significant impact on tourism development and utilization.
Domestic and foreign studies on complex transportation networks have mostly been conducted from the perspective of railways, air transport, and urban transportation but seldom on expressway transportation networks.
This study employed complex network theory, social network analysis, kernel density analysis, and bivariate autocorrelation to characterize the spatial structure of expressway transport networks in terms of geographical centrality.
By innovating the coupling of geographical centrality and passenger flow centrality in clustering, the study also quantitatively analyzed the differences between the geographical advantage and actual passenger flow advantage of China’s Guizhou expressway transportation network to analyze the tourism utilization potential of expressway service areas.
We found that (1) the geographical centrality of the Guizhou expressway transportation network ranged from −1.28 to 3.33, and its distribution shows a single-core, polyconcentric dispersed spatial structure; (2) the passenger-car flow rate ranged from 15,000 to 3.66 million, and its distribution showed a dual-core, polycentric dispersed structure that is weakly concentric; and (3) there was a positive correlation of 0.22 between the geographical centrality and passenger flow of the Guizhou expressway transportation network, which showed seven cluster types—“high-high,” “moderately high-high,” “low-high,” “moderately low-high,” “high-low,” “moderately high-low,” and “low-low”—for which seven corresponding models of tourism development were proposed.
This study broadens the practical application of traffic network complexity research and provides a scientific basis for upgrading and transforming the Guizhou expressway transportation network as well as for developing composite tourism uses for expressway service areas.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Chen, Sihong& Xi, Jianchao& Liu, Menghao& Li, Tao. 2020. Analysis of Complex Transportation Network and Its Tourism Utilization Potential: A Case Study of Guizhou Expressways. Complexity،Vol. 2020, no. 2020, pp.1-22.
https://search.emarefa.net/detail/BIM-1139861
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Chen, Sihong…[et al.]. Analysis of Complex Transportation Network and Its Tourism Utilization Potential: A Case Study of Guizhou Expressways. Complexity No. 2020 (2020), pp.1-22.
https://search.emarefa.net/detail/BIM-1139861
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Chen, Sihong& Xi, Jianchao& Liu, Menghao& Li, Tao. Analysis of Complex Transportation Network and Its Tourism Utilization Potential: A Case Study of Guizhou Expressways. Complexity. 2020. Vol. 2020, no. 2020, pp.1-22.
https://search.emarefa.net/detail/BIM-1139861
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1139861
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر