Related Experiment Video
Updated: Jan 15, 2026

08:05
Design and Analysis for Fall Detection System Simplification
Published on: April 6, 2020
11.1K
Tree canopy cover and injurious pedestrian falls: a location-based case-control study
Kathryn G Burford1, Alexander X Lo2,3, James W Quinn4
1Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, United States.
American Journal of Epidemiology
|October 14, 2025
Summary
Higher tree canopy cover is linked to fewer pedestrian falls, particularly in summer. This study used emergency medical services data to explore the association between urban tree canopy and fall locations.
Area of Science:
- Urban planning
- Environmental health
- Public health
Background:
- Injurious pedestrian falls are a significant public health issue in the US, with limited research on prevention.
- Street trees can cause sidewalk damage, increasing fall risk, but tree canopy may mitigate falls by reducing heat.
Purpose of the Study:
- To pilot the use of emergency medical services (EMS) data for a multi-city, location-based case-control study.
- To investigate the association between tree canopy cover and the locations of injurious pedestrian falls.
Main Methods:
- A case-control study design using EMS data from April to September 2019.
- Identified 497 pedestrian fall locations (cases) and 994 matched control locations.
- Quantified percent tree canopy cover within a 100-m buffer of each location.
Main Results:
- Median tree canopy cover was lower at fall locations (8%) compared to control locations (14%).
- Increased tree canopy cover was inversely associated with pedestrian fall locations (adjusted OR=0.57).
Conclusions:
- Higher tree canopy cover is associated with a reduced risk of injurious pedestrian falls.
- EMS data can be utilized for location-based epidemiological studies on fall prevention.
- Further research is needed to address methodological challenges in using EMS data for fall research.
Related Concept Videos
Survival Tree
385
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
Building a Survival Tree
Constructing a...
Building a Survival Tree
Constructing a...
385
Elastic Collisions: Case Study
20.2K
Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...
20.2K
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
285
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...
285
Relative Risk
2.0K
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
2.0K

