论文推荐 | 站间生活：香港地铁站对之间的非地铁行程及相关站点对的可视化

北京城市实验室BCL · 公众号 · · 2025-01-03 12:40

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本期为大家推荐的内容为论文《 Life between Stations: A visualization of non-metro trips and associated station pairs in Hong Kong 》（站间生活：香港地铁站对之间的非地铁行程及相关站点对的可视化），发表在 Transactions in Urban Data, Science, and Technology 期刊，欢迎大家学习与交流。

行程链由多个相互关联的行程组成，服务于不同的功能和/或目的，在城市居民中普遍存在。作为主要由地铁系统承载的行程链的一部分，地铁站对之间的非地铁行程（NMTs）在现有的学术研究和实践中鲜有关注。然而，它们对“站间生活”（Life between Stations，LbS）——地铁乘客及其他城市居民在车站周边或车站之间进行的各种活动——有所贡献。LbS影响居民对行程链的满意度、归属感，甚至整体生活质量。但是，对于一个特定的城市，这些NMTs更频繁地发生在何处，其持续时间又有多长？利用2019年香港12个周末的地铁智能卡刷卡记录，我们在现实环境中定义、量化并可视化了NMTs及其相关的地铁站对。研究发现：(a) NMTs和LbS发生在多达179对地铁站之间，涉及95个本地地铁站中的84个；(b) NMTs和LbS在不同的地铁站对和/或地铁线路之间存在差异；(c) 商业区和人口密集区的NMTs和LbS比其他地区更多。这些发现为更好地理解和改善地铁乘客的LbS提供了有价值的见解。

论文相关

题目： Life between Stations: A visualization of non-metro trips and associated station pairs in Hong Kong

（ 站间生活：香港地铁站对之间的非地铁行程及相关站点对的可视化 ）

作者： Yunting Miao and Jiangping Zhou *

发表刊物：

Transactions in Urban Data, Science, and Technology

DOI：

https://doi.org/10.1177/27541231241298141

摘要 ABSTRACT

Trip chains, consisting of multiple interconnected trips serving different functions and/or purposes, occur commonly among urban residents. Non-metro trips (NMTs) between a pair of metro stations as parts of trip chains predominantly carried by metro systems have received little attention in the existing scholarship and practice. They contribute, however, to “Life between Stations” (LbS)—various activities engaged in by metro riders and other urban residents around or between stations. LbS affects residents’ level of satisfaction for trip chains, sense of belonging, and even overall quality of life. But for a given city, where do those NMTs occur more frequently and how long are the durations? Using the 12-weekend metro smartcard swipe records in 2019 in Hong Kong, we defined, quantified, and visualized NMTs and associated metro station pairs in a real-world setting. We found that (a) the NMTs and LbS occurred between as many as 179 metro station pairs, involving 84 out of the 95 local metro stations, (b) the NMTs and LbS varied across the station pairs and/or metro lines, and (c) commercial and densely populated areas saw more than elsewhere. These findings shed light on efforts undertaken to better understand and improve LbS of metro riders .