Investigating the Accessibility between Civil Airports and Tourist Locations in Tourist Cities in Yunnan Province, China

Abstract

Coordinated development between landside transport at civil airports and aviation networks is key for determining the attractiveness and competition of tourist cities. However, only a few studies have focused on the accessibility of tourist locations around civil airports in tourist cities in China. This paper calculates the service coverage of civil airports for tourist locations in Yunnan in selected years, consisting of 2000, 2005, 2010, and 2015, by using an accessibility calculation method with the shortest path and a spatial analysis method in ArcGIS software. The results are compared with the structural characteristics of the aviation network in corresponding years. Additionally, some suggestions are given regarding transportation development and sustainable environmental development in tourist cities. The findings show that the service coverage of civil airports in Yunnan has gradually improved over time. Specifically, 83.41% of tourist locations can be reached within 1.5 h of driving from an airport, and all tourist destinations could be reached within 3 h in 2015. Among all civil airports, the airports in the hub city of Kunming and at world-renowned tourist destinations such as Dali and Lijiang displayed the highest airport service capabilities for tourist locations. Meanwhile, the aviation network of Yunnan Province is constantly improving with an increased number of airports and airlines, and it shows the centralization trend toward KMG. However, the mismatch is observed not only in tourist cities with hub airports, such as Kunming, but also in some cities located in remote areas (i.e., far from the central city). This finding reveals that in these tourist cities in Yunnan, the development of airport transport has not considered coordination between the airline network and the service coverage of civil airports for tourist locations. For the sustainable development of tourist cities, the equal importance of airport landside transport and the airline network in the planning and management of air transport should be emphasized.

Framework and Perception Survey of Tourism Accessibility Concerning Regional Airports Based on Nexus Thinking: An Empirical Study in Ganzi Prefecture, China

“…Based on the consideration for ground traffic, ArcGIS10.2 is used in this paper to convert the original vector data map into raster data, so as to avoid the insufficient coverage of the accessibility measurement of non-network nodes [49]. Additionally, the traffic accessibility of Yading Airport is measured based on the highway data at all levels in Ganzi Prefecture.…”

Evaluating Changes in Spatial Accessibility to Airports in Turkey between 2000 and 2018

“…Meanwhile, potential accessibility and realized accessibility have been defined as emphasizing the different stages of accessibility ( 9 , 10 ). In addition to the various concepts related to accessibility, studies on airport accessibility have frequently used landside accessibility as a term referring to measuring airport accessibility from the starting point by road or rail network and airside accessibility as a term referring to an airports’ connectivity and flight networks/number of passengers ( 11 – 13 ).…”

“…Other important issues addressed in the literature are: “access” to the systems or accessibility using different modes of transportation—by car ( 8 , 11 , 22 – 25 ), by transit and car ( 12 , 16 , 17 , 26 – 28 ), by public transit ( 18 ), by cycling/walking ( 19 )—and changes in accessibility over time ( 10 , 11 , 17 , 18 , 25 , 29 , 30 ).…”

“…Three main issues exist in relation to distance in the studies on spatial accessibility: the first is deciding on the distance type to be used in the study; the second is evaluating the friction of distance; and the third is defining the catchment area tied to the distance thresholds. When addressing distance types, different methods—such as Euclidean distance (i.e., straight line) ( 31 ), Manhattan distance ( 5 ), Shimbel distance ( 32 ), travel distance ( 22 , 33 ), and travel time ( 4 , 11 , 13 , 23 , 24 , 26 – 29 , 34 – 36 ) have been utilized for measuring distance. Some studies have employed multiple methods ( 5 , 10 , 37 – 39 ).…”

Logistics and supply chain for mice cities

“…As a result, to decrease these economic, social and environmental impacts, policy maker and airport operators should carefully layout the ground transport plan (GTP) in order to cope with air passenger market segmentation, and passenger growth by balancing with airport constraints. Moreover, a study of Hao, Zhang, Ji, Wu, and Liu (2020) demonstrated interesting findings and suggestion that accessibility from airport to tourist destinations of the city should be prioritized as significant as development of airport itself. As time costs was very crucial for satisfaction and decision making of visitors for a choice of tourist destination as well as the willingness to revisit.…”