Employing waterborne autonomous vehicles for museum visits: a case study in Amsterdam
Name
12544_2020_Article_459.pdf
Size
8 MB
Format
Adobe PDF
Checksum (MD5)
016d1d4138cd2ec60874c3fb658d0cbd
Author(s)
Rong, Helena Hang
Tu, Wei
Duarte, Fábio
Ratti, Carlo
Date Issued
November 2020
Publisher
Springer Science and Business Media LLC
Citation
Rong, Helena Hang et al. "Employing waterborne autonomous vehicles for museum visits: a case study in Amsterdam." European Transport Research Review 12, 1 (November 2020): 63 © 2020 The Author(s)
Version
Final published version
Abstract
Amsterdam is a culturally rich city attracting millions of tourists. Popular activities in Amsterdam consist of museum visits and boat tours. By strategically combining them, this paper presents an innovative approach using waterborne autonomous vehicles (WAVs) to improve the museum visitation in Amsterdam. Multi-source urban data including I Amsterdam card data and Instagram hashtags are used to reveal museum characteristics such as offline and online popularity of museums and visitation patterns. A multi-objective model is proposed to optimize WAV routes by considering museum characteristics and travel experiences. An experiment in the Amsterdam Central area was conducted to evaluate the viability of employing WAVs. By comparing WAVs with land transportation, the results demonstrate that WAVs can enhance travel experience to cultural destinations. The presented innovative WAVs can be extended to a larger variety of points of interest in cities. These findings provide useful insights on embracing artificial intelligence in urban tourism.
MIT Department
Massachusetts Institute of Technology. SENSEable City Laboratory
Massachusetts Institute of Technology. Department of Urban Studies and Planning
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1186/s12544-020-00459-x
