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Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
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Modeling speed limit compliance in shared spaces.

Amrit Ghimire1, Stewart A Birrell2, William Payre2

  • 1School of Engineering, Deakin University, Waurn Ponds, VIC 3216, Australia; National Transport Design Centre, Coventry University, Coventry CV1 2TT, UK.

Journal of Safety Research
|March 5, 2026
PubMed
Summary
This summary is machine-generated.

Speeding in shared spaces is reduced by fewer conflicts and more parking. Heavy vehicles and those following others comply better with speed limits, unlike cars and two-wheelers.

Keywords:
ComplianceDriving behaviorShared zoneSpeedingTobit regression

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Area of Science:

  • Traffic Engineering
  • Road Safety Research
  • Urban Planning

Background:

  • Shared spaces aim to improve road user interaction but face challenges with speed limit non-compliance.
  • Existing research on speeding in shared spaces lacks analysis of environmental and traffic-specific factors.
  • A knowledge gap exists regarding how shared zone attributes, traffic conditions, and vehicle platoons influence driver speeds.

Purpose of the Study:

  • To analyze factors influencing driver speeding behavior in shared spaces.
  • To investigate the impact of shared space design and traffic characteristics on speed limit compliance.
  • To identify key determinants of speeding for developing safety countermeasures.

Main Methods:

  • Utilized left-censored Tobit regression models to analyze speed data from two Australian shared spaces.
  • Modeled non-compliant speeds as continuous and compliant speeds as zero to assess drivers' adherence to posted limits.
  • Examined the influence of shared space features, vehicle types, and traffic dynamics on speeding behavior.

Main Results:

  • Increased conflicts and parking availability in shared spaces significantly reduced speeding magnitude and probability.
  • Cars and two-wheelers, along with speeding surrounding vehicles, showed lower compliance rates.
  • Heavy vehicles and those in platoons demonstrated higher compliance, with no significant effect of time or day.

Conclusions:

  • Identified specific shared space features (conflicts, parking) and traffic conditions (vehicle type, platooning) that influence speeding.
  • Findings offer crucial insights for urban planners and policymakers to design safer shared spaces and implement effective speed limit strategies.
  • The study contributes to enhancing safety for all road users, especially vulnerable populations, in shared environments.