Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Urban ambient air pollution and blood pressure in schoolchildren in Accra, Ghana.

Scientific reports·2026
Same author

The Accra school health and environment study (ASHES): a study of the urban environment and child health and development in Accra.

Environmental research communications·2026
Same author

The status and politics of bicycling in the cities of low- and middle-income countries.

Nature cities·2026
Same author

Estimating the impact of nutritional transition and ending hunger on tuberculosis in 12 high-burden countries: a model-based scenario analysis.

BMJ global health·2025
Same author

Characterizing air and noise pollution and their determinants in elementary schools in Accra, Ghana.

Environmental research, health : ERH·2025
Same author

City-wide space-time patterns of environmental noise pollution in Kigali, Rwanda.

Environmental research letters : ERL [Web site]·2025
Same journal

Exploring the influences of personal attitudes on the intention of continuing online grocery shopping after the COVID-19 pandemic.

Travel behaviour & society·2023
Same journal

Applying an interpretable machine learning framework to study mobility inequity in the recovery phase of COVID-19 pandemic.

Travel behaviour & society·2023
Same journal

The impact of COVID-19 lockdown measures on gendered mobility patterns in France.

Travel behaviour & society·2023
Same journal

Understanding changing public transit travel patterns of urban visitors during COVID-19: A multi-stage study.

Travel behaviour & society·2023
Same journal

Post-pandemic shared mobility and active travel in Alabama: A machine learning analysis of COVID-19 survey data.

Travel behaviour & society·2023
Same journal

Nowhere to go - Effects on elderly's travel during Covid-19.

Travel behaviour & society·2023
查看所有相关文章

相关实验视频

Updated: Jun 10, 2025

Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable
09:24

Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable

Published on: May 17, 2024

1.3K

使用新兴的移动传感数据评估自行车安全风险.

Yan Li1,2, Yuyang Zhang3, Ying Long4

  • 1School of Architecture, Tsinghua University, Beijing, China.

Travel behaviour & society
|October 16, 2024
PubMed
概括
此摘要是机器生成的。

电动自行车 (电动自行车) 现在主导着自行车道,增加了过时基础设施的风险. 这项研究开发了一种移动传感方法,以评估电动自行车的安全风险,并为基础设施改进提供信息.

关键词:
自行车安全 自行车安全 自行车安全电动自行车是一种电子自行车.基础设施评估 基础设施评估机器学习是机器学习.街道设计 街道设计

更多相关视频

Author Spotlight: Innovations in iTUG Test for Enhanced Risk Assessment and Cognitive Insights
05:26

Author Spotlight: Innovations in iTUG Test for Enhanced Risk Assessment and Cognitive Insights

Published on: October 25, 2024

907
Video Movement Analysis Using Smartphones ViMAS: A Pilot Study
07:51

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study

Published on: March 14, 2017

16.8K

相关实验视频

Last Updated: Jun 10, 2025

Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable
09:24

Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable

Published on: May 17, 2024

1.3K
Author Spotlight: Innovations in iTUG Test for Enhanced Risk Assessment and Cognitive Insights
05:26

Author Spotlight: Innovations in iTUG Test for Enhanced Risk Assessment and Cognitive Insights

Published on: October 25, 2024

907
Video Movement Analysis Using Smartphones ViMAS: A Pilot Study
07:51

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study

Published on: March 14, 2017

16.8K

科学领域:

  • 城市规划 城市规划
  • 运输工程 运输工程
  • 交通安全 交通安全

背景情况:

  • 全球电动自行车 (电动自行车) 拥有率的上升给现有的自行车基础设施带来了压力.
  • 需要重新评估混合交通环境的安全风险和基础设施质量.
  • 在许多地区,缺乏对自行车基础设施的精确空间数据.

研究的目的:

  • 重新评估自行车基础设施安全风险,考虑电动自行车和传统自行车.
  • 为大规模自行车道数据采集引入一个具有成本效益的移动传感方法.
  • 开发和应用计算机视觉模型来评估自行车安全风险.

主要方法:

  • 使用自行车进行白天和夜间数据收集的移动传感.
  • 基于计算机视觉的风险因素评估模型.
  • 在北京收集的自行车道数据的空间分析.

主要成果:

  • 72.1%的骑自行车者使用电动自行车,其中不使用头盔 (32.3%) 和逆流骑行 (8.4%) 的比例很高.
  • 白天的风险包括共享/缺失专用车道,路边停车场和道路状况不佳.
  • 夜间风险主要是由于街道照明不足造成的.

结论:

  • 该研究强调了电动自行车对自行车安全和基础设施的重大影响.
  • 拟议的移动传感方法可扩展,可适应各种自行车环境.
  • 调查结果为加强自行车安全政策和城市道路设计提供了关键的见解.