Accessibility of Multimode Transport Facilities to Suburban Tourist Attractions: Analysis Based on Meso- or Microcommunity Scale in Beijing

Abstract

This paper aims to evaluate the accessibility of multimode transport facilities to suburban tourist attractions, under the background of detailed needs of tour transportation planning and urban development. Accessible, convenient, and sustainable tour transportation network is the prerequisite for tourists entering tourist attractions and completing activities. Based on multisource data and the GIS network analysis method, an accessibility model of suburban tourist attractions at community scale was constructed combining population with average shortest travel distances (ASTD) or the average minimum travel time (AMTT) by auto, public transport, and bike. Taking Beijing as an empirical analysis, the main conclusions are as follows. (1) The spatial distribution of suburban tourist attractions is fan-shaped with tourism resources mainly gathering on the north, west, and south of Beijing. (2) The ASTDs of tourist attractions and communities are 73.11 and 69.40 km, respectively. The average nonlinearity coefficient of ASTD of tourist attractions is divided into three categories including high, medium and low convenience, accounting for 0%, 78.57%, and 21.43%, respectively. (3) The accessibility of suburban tourist attractions has obvious spatial difference under multimode traffic network, showing an attenuation phenomenon of diffusion from the city center to suburbs. A total of 98.21% of them can be reached within 2 h by auto, while that number drops to 37.50% by public transport, and 32.14% by bike. The proposed model applicable for the accessibility of suburban tourist attractions provides reference for in-depth description and optimization of the actual traffic accessibility, as well as tourism transportation planning within the city region.