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Employing waterborne autonomous vehicles for museum visits: a case study in Amsterdam
European Transport Research Review ( IF 4.3 ) Pub Date : 2020-11-27 , DOI: 10.1186/s12544-020-00459-x
Helena Hang Rong , Wei Tu , Fábio Duarte , Carlo Ratti

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.

中文翻译:

使用水上自动驾驶汽车参观博物馆:以阿姆斯特丹为例

阿姆斯特丹是一个文化丰富的城市,吸引了数百万游客。阿姆斯特丹的热门活动包括博物馆参观和乘船游览。通过战略性地将它们结合起来,本文提出了一种使用水上自动驾驶汽车(WAV)来改善阿姆斯特丹博物馆参观的创新方法。包括I Amsterdam卡数据和Instagram主题标签在内的多源城市数据用于揭示博物馆的特征,例如博物馆的离线和在线流行度以及参观方式。提出了一个多目标模型,通过考虑博物馆的特征和旅行经验来优化WAV路线。在阿姆斯特丹市中心地区进行了一项实验,以评估采用WAV的可行性。通过比较WAV与陆路运输,结果表明,WAV可以增强前往文化目的地的旅行体验。提出的创新WAV可以扩展到城市中更多的兴趣点。这些发现为将人工智能应用于城市旅游提供了有用的见解。
更新日期:2020-12-01
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