Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

29
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
29
Thematic Layering in GIS01:30

Thematic Layering in GIS

28
In the past, planning projects such as schools or public facilities required extensive manual effort to gather and compile data. Information such as property boundaries, soil characteristics, road networks, zoning regulations, and flood zones had to be sourced individually from courthouses, utility providers, and registry offices. Assembling these datasets into a coherent format often took several months, delaying project timelines.The introduction of Geographic Information Systems (GIS)...
28
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

36
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
36
Assessment of the Cardiovascular System I: Subjective Data01:23

Assessment of the Cardiovascular System I: Subjective Data

261
A thorough health history and physical assessment are essential for identifying cardiovascular disease (CVD) symptoms and distinguishing them from other health issues.
Initial Enquiry
Ask the patient about their primary concern and thoroughly explore all reported symptoms.
Medical History
Investigate past illnesses affecting the cardiovascular system, such as angina, anemia, rheumatic fever, congenital heart disease, stroke, thrombophlebitis, dysrhythmias, varicosities
Inquire about symptoms...
261
Profile Leveling and Cross Sections01:26

Profile Leveling and Cross Sections

94
Profile leveling and cross-sections are surveying methods used to determine and document terrain elevations for infrastructure projects such as highways, railroads, canals, and pipelines. These methods provide data for earthwork planning and alignment of proposed routes.  Profile leveling involves measuring elevations along a fixed line to create a vertical terrain profile. A surveyor sets up a leveling instrument at the benchmark (BM) and records a backsight (BS) to determine the...
94
Schemas01:42

Schemas

11.5K
A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
11.5K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A Large-Scale Image Repository for Automated Pavement Distress Analysis and Degradation Trend Prediction.

Scientific data·2025
Same author

Feasibility of compressed sensing technique for isotropic dynamic contrast-enhanced liver magnetic resonance imaging.

European journal of radiology·2021
Same author

Using deep learning to predict microvascular invasion in hepatocellular carcinoma based on dynamic contrast-enhanced MRI combined with clinical parameters.

Journal of cancer research and clinical oncology·2021
Same author

Engineering a Human Pluripotent Stem Cell-Based <i>in vitro</i> Microphysiological System for Studying the Metformin Response in Aortic Smooth Muscle Cells.

Frontiers in bioengineering and biotechnology·2021
Same author

The effect of intraoperative lidocaine infusion on postoperative opioid consumption in adolescents undergoing posterior spinal instrumentation and fusion for idiopathic scoliosis.

The spine journal : official journal of the North American Spine Society·2021
Same author

The technical feasibility and preliminary results of minimally invasive endoscopic-TLIF based on electromagnetic navigation: a case series.

BMC surgery·2021

Related Experiment Video

Updated: May 25, 2025

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.2K

A Comprehensive Framework for Evaluating Cycling Infrastructure: Fusing Subjective Perceptions with Objective Data.

Kefei Tian1, Yifan Zheng1, Zhongyu Sun1

  • 1The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai 201804, China.

Sensors (Basel, Switzerland)
|February 26, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a new framework to assess bike lane "cycling friendliness" by combining user opinions with objective data. This approach helps improve urban cycling infrastructure and routes for better transportation.

Keywords:
computer visioncycling friendliness evaluationmulti-data fusionreveal preference surveyvibration signal processing

More Related Videos

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.3K
Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

8.9K

Related Experiment Videos

Last Updated: May 25, 2025

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.2K
Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.3K
Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

8.9K

Area of Science:

  • Urban planning
  • Transportation engineering
  • Environmental science

Background:

  • Cities are promoting green transportation, but cycling infrastructure quality is often insufficient.
  • Effective bike lanes are crucial for reducing traffic congestion and environmental impact.
  • Current bike lane assessments lack integration of user experience and objective data.

Purpose of the Study:

  • To develop a multi-data-fusion framework for evaluating bike lane "cycling friendliness".
  • To integrate subjective user perceptions with objective metrics for scalable assessments.
  • To create tailored evaluation models based on user preferences and objective measurements.

Main Methods:

  • Combined survey-based subjective data with digital measurements (vibration analysis, computer vision).
  • Developed revealed preference (RP) models to account for user group variations.
  • Quantitatively assessed factors like road roughness, motor vehicle encroachment, amenities, and scenery.

Main Results:

  • The framework effectively integrates subjective and objective data for bike lane evaluation.
  • Validation showed a strong correlation between model predictions and user perceptions.
  • The approach demonstrated reliability and effectiveness in assessing cycling friendliness.

Conclusions:

  • The proposed framework offers a scalable, data-driven tool for optimizing bike routes and infrastructure.
  • This method aligns assessments with user expectations for improved urban cycling.
  • Enhancing bike lane quality is key to advancing sustainable urban transportation.