How weather and special events affect pedestrian activities: volume, space, and time
How weather and special events affect pedestrian activities: volume, space, and time
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天气和特殊事件如何影响行人活动：数量、空间和时间
DOI：
10.1080/15568318.2021.1897907
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发表时间：
2021
影响因子：
3.9
通讯作者：
Nishihori Yasuhide
中科院分区：
文献类型：
--
作者：
Eom Sunyong;Nishihori Yasuhide
监测行人活动并了解天气条件和特殊事件等影响因素是城市规划者奋进营造一个至关重要和可持续的城市环境的重要问题。本研究通过开发行人分布指数（PDIs）的数量，空间和时间方面的量化行人活动，以澄清PDIs是如何受天气和特殊事件相关的情景因素的变化。因此，基于来自多个位置的行人计数数据，通过体积以及空间和时间不平等来关联PDI，以捕获指定街区/区域中的行人活动。基于PDIs，研究了天气和特殊事件的具体影响。结果表明，即使在行人总数相等的情况下，这些指标也可以用于区分行人的空间分布和时间分布，从而为规划者提供关键信息。此外，天气条件影响行人数量，以及他们的空间和时间分布。事实上，温度和风速对数量和空间不平等产生了非线性影响。此外，行人分布根据事件类型而变化。大多数活动增加了行人数量，并扩大了其在市中心地区的覆盖范围。然而，这些影响仅限于特定的时间段。因此，这项研究有助于将行人分布纳入空间规划的努力，通过量化和评估的影响，特殊事件。
Monitoring pedestrian activities and understanding influential factors such as weather conditions and special events are important issues for urban planners who endeavor to foster a vital and sustainable urban environment. This study quantified pedestrian activity by developing pedestrian distribution indexes (PDIs) for the aspects of volume, space, and time, to clarify how PDIs were affected by variations in situational factors related to weather and special events. Accordingly, the PDIs were related by volume and spatial and temporal inequalities to capture pedestrian activities in designated neighborhoods/districts, based on pedestrian count data from multiple locations. The specific effects of weather and special events were investigated based on the PDIs. The results confirmed that the indexes can be used to distinguish between spatial and temporal pedestrian distributions, even when total numbers are equal, thus providing critical information for planners. Furthermore, weather conditions were shown to influence pedestrian quantities, as well as their spatial and temporal distributions. Indeed, temperature and wind speed exacted non-linear effects on quantity and spatial inequality. Additionally, pedestrian distributions varied according to event type. Most events increased pedestrian numbers and expanded their coverage within downtown areas. However, these effects were limited to specific time periods. Thus, this study contributes to incorporating pedestrian distributions into spatial planning efforts by quantifying and evaluating the impacts of special events.
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