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Related Concept Videos

Schemas01:42

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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.
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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...
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Using mental mapping to unpack perceived cycling risk.

Richard Manton1, Henrike Rau2, Frances Fahy3

  • 1Department of Civil Engineering, College of Engineering and Informatics, NUI Galway, Galway, Ireland; Ryan Institute for Environmental, Marine and Energy Research, NUI Galway, Galway, Ireland.

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Mental mapping reveals cyclist safety perceptions, identifying infrastructure and individual factors influencing risk. This visual tool can inform policies to boost cycling and improve safety for all riders.

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CyclingMental mappingPerceived riskSafety

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Area of Science:

  • Urban Planning
  • Transportation Geography
  • Environmental Psychology

Background:

  • Cycling offers significant environmental, social, and economic benefits.
  • Negative safety perceptions are a major barrier to increasing cycling participation.
  • Novel methods are needed to understand and address these safety concerns.

Purpose of the Study:

  • To explore perceptions of cycling risk using mental mapping.
  • To identify overlaps and discrepancies between perceived and actual environmental risks.
  • To inform infrastructure design and targeted interventions for cyclist safety.

Main Methods:

  • Combined mental mapping, stated-preference surveys, and transport infrastructure inventory.
  • Participants mapped perceived risk areas; objective data captured environmental characteristics.
  • Geographic Information Systems (GIS) and statistical analysis (Generalised Linear Mixed Model) were used.

Main Results:

  • Mental maps provided rich data on perceived safety (n=484).
  • Perceived danger at roundabouts aligned with collision data.
  • Segregated infrastructure, road width, vehicle numbers, gender, and experience significantly influenced perceived risk.

Conclusions:

  • Mental mapping is a valuable, visually engaging tool for assessing cycling risk perceptions.
  • It offers greater public participation potential than traditional technical assessments.
  • Online mapping tools can enhance bicycle suitability measures and inform cycling policy.