| Self-drive tour of new energy vehicle is an important development direction of tourism.Because of the current charging demand and new energy vehicle self-drive tour research is carried out independently,it is difficult to accurately obtain the new energy vehicle self-drive tour charging demand.Therefore,this paper establishes the infrastructure network of new energy vehicle self-drive tour from the perspective of linkage,and makes functional positioning and classification of high-speed toll booth,so as to establish the demand model of new energy vehicle self-drive tour,we also extract the newenergy self-drive vehicles on the highway,and obtain the spatial and temporal distribution characteristics of new energy vehicle self-drive tour.It is of great theoretical and practical significance to provide theoretical basis for the development of self-drive tour of new energy vehicles and infrastructure construction.Take Yunnan province as an example,establish the infrastructure network of New Energy Vehicle self-drive tour.Based on the analysis of service area and buffer area,the service area of charging station and the radiation area of scenic spot are obtained.The high-speed toll booth were defined and graded,and 200 toll booths with charging function and 278 toll booths with tourism function were obtained.Taking the Golden Week of Spring Festival as the research period,the second-order clustering method was used to identify the demand pattern of new energy vehicle self-drive travel.The research results show that the demand pattern of New Energy Vehicle self-drive tour is divided into six categories,and the New Energy Vehicle self-drive tour is mainly short distance,“Short distance-high frequency-urgent charge demand-balanced tourism demand mode” is the most mainstream mode of new energy car selfdrive.“Medium distance-low frequency-no charge demand-no tourism demand model” under the new energy vehicle no tourism demand,does not belong to the scope of self-drive travel.The demand of short-distance driving focuses on the tourism function of the destination toll station,and the charging demand includes the non-charging demand and the urgent charging demand.The demand of charging and tourism is more balanced,the number of long-distance new energy vehicle self-drive tour is less,the demand of charging is urgent,and the demand of tourism is high.Based on the combination of temporal and spatial data mining and geospatial analysis,the temporal and spatial distribution characteristics of new energy vehicle self-drive tour are studied.By using social network analysis and Arc GIS technology,the spatial-temporal distribution characteristics of new energy vehicle self-drive tour in flow and direction were analyzed.It is found that the daily distribution of self-drive trips by new energy vehicles in Yunnan Province during the spring festival golden week is characterized by interval peaks,which are concentrated in the 13h-18 h period from afternoon to evening.The whole space is “One center,one axis,two wings” spatial aggregation characteristics.The New Energy Vehicle self-drive tour outside the province is centered on Kunming and radiates outward to the northeast and southeast.Dali,Xishuangbanna,Qujing and Kunming are the core cities in the western,southern,eastern and central parts of the province,respectively.12 km-based short distance is the new energy vehicle self-drive tour users of the main choice. |
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