论文推荐 | 通过整合拥挤度评估地铁系统的自行车可达性-规划问道

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本期为大家推荐的内容为论文《Assessing bike accessibility to metro systems by integrating crowdedness》（通过整合拥挤度评估地铁系统的自行车可达性），发表在Transactions in Urban Data, Science, and Technology期刊，欢迎大家学习与交流。

自行车-地铁一体化被视为提高地铁系统可达性的有效手段。本研究旨在使用由骑行者生成的真实自行车轨迹数据集，在更精细的时空尺度上评估骑自行车的地铁可达性。为实现这一目标，我们提出了一个地铁可达性水平（MAL）指标，该指标明确将地铁拥挤度纳入到可达性测量中。随后，我们介绍了一种方法，用以探究使用自行车作为接入方式避免地铁拥挤的可能性。这一提出的指标和方法被应用于中国上海的案例研究。结果显示，自行车-地铁一体化提高了地铁系统的可达性，表现在更广泛的人口覆盖和更高的可达性水平上。忽略地铁拥挤会导致对地铁系统可达性的过高估计，而且早高峰的过高估计大于午高峰的过高估计。只有19%位于拥挤车站步行可达区域内的人口能够从拥挤车站转移到非拥挤车站。这些结果为交通规划、建模和政策制定提供了良好的参考，以改善自行车-地铁一体化。

论文相关

题目：Assessing bike accessibility to metro systems by integrating crowdedness

（通过整合拥挤度评估地铁系统的自行车可达性）

作者：

Diao Lin, Yongping Zhang* and Liqiu Meng

发表刊物：

Transactions in Urban Data, Science, and Technology

DOI:

https://doi.org/10.1177/27541231231179403

引用格式：

Lin, D., Zhang, Y., & Meng, L. (2023). Assessing bike accessibility to metro systems by integrating crowdedness. Transactions in Urban Data, Science, and Technology, 27541231231179403.

摘要ABSTRACT

Bike-metro integration is regarded as an effective means of improving the access to metro systems. This study aims to assess the metro accessibility by biking at a finer spatiotemporal scale using a real bike trajectory dataset generated by cyclists. To achieve this goal, we propose a metro accessibility level (MAL) indicator that explicitly integrates metro crowdedness into the accessibility measurement. We then introduce a method to examine the possibility of avoiding metro crowdedness by using the bike as the access mode. The proposed indicator and method are applied to Shanghai, China as a case study. Results show that bike-metro integration increases the accessibility to metro systems in terms of larger population coverage and a higher accessibility level. Omitting the metro crowdedness leads to an overestimation of the accessibility to metro systems, and the overestimation for the morning peak is larger than that of the afternoon peak. Only 19% of the population in walking catchment areas of crowded stations can shift from crowded stations to non-crowded ones. These results provide a good reference for transportation planning, modeling, and policymaking to improve bike-metro integration.