How Social Networks Affect the Spatiotemporal Planning of Smart Tourism: Evidence from Shanghai

Song Liu,Xiaoyan Ma

doi:10.3390/su13137394

Abstract

Scenic tourism route plans are usually generated by combining scenic Points of Interest (PoIs) and the scenic road network. Traditional algorithms map the road networks linking the PoIs into a route collection and build a corresponding graph model. However, a single PoI description mechanism for scenic spots with multiple entrances and exits is significantly different from the actual tour route, which has multiple entrances and exits. Furthermore, the preferences and needs of tourists are not considered in attraction selection in existing algorithms. In this study, we propose a double-weighted graph model that considers the multiple entrances and exits of the PoI and identifies the tourists’ preferences using social network data. According to tourists’ different preferences and demands, different optimized tourist routes closer to the actual optimal paths were generated through an ant colony algorithm based on the proposed double-weighted graph model. To address the efficiency of the proposed model, we applied it in Shanghai and compared it with the traditional model through the 2bulu app, which can record three-dimensional (3D) trajectories of tourists. The comparison results show that the proposed model using social network data is closer to the actual 3D trajectory than the traditional model.

Highlights

With the development of the national economy and the improvement of people’s living standards, there is a growing emphasis on physical health and spiritual enrichment [1].Outdoor leisure and sightseeing have become part of a kind of healthy lifestyle and have been widely accepted by citizens [2,3,4] due to their well-known effects on health and fitness, their recreational value, and the benefits of landscape appreciation [5,6].The quality of outdoor leisure and sightseeing has been enhanced with the improvement of living standards
We introduce the definitions of double-weighted graph model (DWGM) for a scenic spot and take the distance weight as an example to provide the weight function of the vertices and edges, as well as the solution of the optimal path
Our results showed that the new algorithm concerning the architectural characteristics of scenic spots has a better performance regarding accuracy than traditional ones considering scenic spots, such as Points of Interest (PoIs), and brings higher satisfaction to the tourists

Summary

Introduction

With the development of the national economy and the improvement of people’s living standards, there is a growing emphasis on physical health and spiritual enrichment [1].Outdoor leisure and sightseeing have become part of a kind of healthy lifestyle and have been widely accepted by citizens [2,3,4] due to their well-known effects on health and fitness, their recreational value, and the benefits of landscape appreciation [5,6].The quality of outdoor leisure and sightseeing has been enhanced with the improvement of living standards. With the development of the national economy and the improvement of people’s living standards, there is a growing emphasis on physical health and spiritual enrichment [1]. Outdoor leisure and sightseeing have become part of a kind of healthy lifestyle and have been widely accepted by citizens [2,3,4] due to their well-known effects on health and fitness, their recreational value, and the benefits of landscape appreciation [5,6]. The quality of outdoor leisure and sightseeing has been enhanced with the improvement of living standards. An optimal sightseeing route plan contributes to shortening travel durations, satisfying their interests, and helping tourists enjoy physical relaxation [4]. A well-designed sightseeing route can present the legends, history, and myths of tourist attractions that enhance the market of tourism products and contribute to the local economy [8]

Methods

Results

Discussion

Conclusion