Analysis of Tourist Flow Characteristics Based on Mobile Signaling Data

With the improvement of living standard and the rapid development of transportation industry, tourism travel has become a typical travel behavior. However, the increase in tourist population has led to a surge and detention in urban passenger flow, resulting in insufficient urban transportation capacity and traffic congestion. To solve this problem, it is important to accurately obtain the characteristics of the tourist flow and understanding their changing rules. And it has been gradually recognized that mobile phone can be used as a practical and promising way to identify individual travel trajectories and extract travel characteristics of the group. Therefore, this paper proposes a method to obtain the characteristics of tourists based on mobile signaling data. Firstly, the authors calculated the accessibility and connectivity of tourist attractions in Beijing and chose the attraction which has the worst accessibility as a case to analyze in the next work. Secondly, the authors extract the user's Origin-Destination (OD) trip through the pre-processed mobile signaling data. Thirdly, the authors identify the tourists who arrive at the tourist attraction and describe their spatial-temporal characteristics. Finally, the results can provide decision-making support for the tourism, traffic management departments and tourists, and improve the service level of tourism traffic.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Maps; References; Tables;
  • Pagination: 15p

Subject/Index Terms

Filing Info

  • Accession Number: 01764134
  • Record Type: Publication
  • Report/Paper Numbers: TRBAM-21-01139
  • Files: TRIS, TRB, ATRI
  • Created Date: Feb 4 2021 11:00AM