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 Experiment Video

Updated: May 2, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.4K

Trajectory data analyses for pedestrian space-time activity study.

Feng Qi1, Fei Du

  • 1School of Environmental and Life Sciences, Kean University, NJ, USA.

Journal of Visualized Experiments : Jove
|March 7, 2013
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Comparison of pulmonary ventilation/perfusion tomography and conventional diagnostic techniques in the diagnosis of pulmonary thromboembolism.

Journal of thoracic disease·2026
Same author

Complete genomes of grapevine downy mildew reveal effector cluster evolution driven by complex structural variations.

Horticulture research·2026
Same author

Identifing two distinct cortical progression subtypes of Parkinson's disease through multimodal neuroimaging.

European journal of nuclear medicine and molecular imaging·2026
Same author

Breaking the Thermodynamic Ceiling of Aqueous Selenium Chemistry via Intrinsic Mn Cation Modulation.

Nano letters·2026
Same author

A context-aware transformer with weighted residual for efficient remote sensing target detection.

Frontiers in neurorobotics·2026
Same author

Numerical Simulations and Bending Fatigue Experiments of Compensation Ropes Adopted in Highspeed Railway.

Materials (Basel, Switzerland)·2026
Same journal

A Video Protocol of a Randomized Controlled Clinical Trial - Electrochemotherapy of Cutaneous Metastases with Reduced Dose Bleomycin (BLESS Trial).

Journal of visualized experiments : JoVE·2026
Same journal

A Standardized Ex Vivo Porcine Oromucosal Model for Evaluating Peptide Fluxes.

Journal of visualized experiments : JoVE·2026
Same journal

Lightweight English Text Classification with Deep Learning Based on Complex System Theory.

Journal of visualized experiments : JoVE·2026
Same journal

Integrating Artificial Intelligence-Assisted Translation Support into English Courses: Effects on Translation Accuracy, Perceived Stress, and Anxiety.

Journal of visualized experiments : JoVE·2026
Same journal

A Toxin-Based Counter-Selection System for Markerless Gene Deletion and High-Density Tn5 Transposon Mutagenesis in Pectobacterium brasiliense.

Journal of visualized experiments : JoVE·2026
Same journal

Seamless Multimodal Human-Robot Communication: Integration Techniques in Human-Computer Interaction.

Journal of visualized experiments : JoVE·2026
See all related articles

This study introduces methods and tools for analyzing individual movement data to understand disease spread. The approach processes trajectory data to model human activity spaces, aiding public health research.

Area of Science:

  • Geographic Information Systems (GIS)
  • Spatial Analysis
  • Public Health Informatics

Background:

  • Human movement significantly influences infectious disease transmission dynamics.
  • Detailed individual mobility data is crucial for micro-scale disease modeling but is often lacking.
  • Traditional data collection methods like time-space diaries are burdensome and yield variable data quality.

Purpose of the Study:

  • To present a suite of methods and an integrated ArcGIS tool for pre-processing and analyzing trajectory data.
  • To enable the modeling of human space-time activities using error-rich trajectory data for public health applications.
  • To facilitate infectious disease transmission modeling at a micro-scale.

Main Methods:

  • Development of an ArcGIS desktop-based visual interface for trajectory data pre-processing and spatiotemporal analysis.

More Related Videos

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
10:52

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Published on: April 13, 2016

8.1K
Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior
06:38

Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior

Published on: June 9, 2020

4.3K

Related Experiment Videos

Last Updated: May 2, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.4K
Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
10:52

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Published on: April 13, 2016

8.1K
Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior
06:38

Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior

Published on: June 9, 2020

4.3K
  • Implementation of pre-processing for cleaning noisy trajectory data, including interactive and automatic modules.
  • Trajectory segmentation to differentiate indoor and outdoor activities, supported by both interactive and automatic approaches.
  • Activity space characterization, density estimation (surface mapping, volume rendering), and exploratory data analysis (EDA) tools.

    • Main Results:

    • A comprehensive procedure for the pre-processing and spatiotemporal analysis of trajectory data is established.
    • Methods effectively handle error-rich pedestrian trajectory data for activity space modeling.
    • Visualization techniques like density surface mapping and volume rendering aid in identifying hot spots and interactions.

    Conclusions:

    • The presented suite of analytical and visual methods provides a robust framework for space-time activity studies using trajectory data.
    • This approach enhances the potential for micro-scale infectious disease transmission modeling by leveraging detailed mobility patterns.
    • The tools and methods are applicable to diverse trajectory datasets, supporting broader applications in public health and behavioral research.