Abstract

Commercial areas, especially urban ones with numerous buildings, are becoming increasingly prone to congestion because of their popularity. Visual inspections show that interactions between pedestrians and building entrances affect the distribution of pedestrian trajectories, which influences the utility of pedestrian spaces and the design of urban shopping areas. Herein, we analyse the dynamics of pedestrian deviations around building entrances. We used a video recorded using an unmanned aerial vehicle to determine pedestrian trajectories in a Chinese commercial walking space. First, the candidate variables affecting deviation behaviours were determined via correlation testing. Second, two regression models were developed by considering the deviation behaviours of pedestrians walking past a building entrance. The models suggest that the starting position of a pedestrian’s deviation, the total pedestrian flow at the building entrance, the density in an area in the vicinity of the entrance, and the number of interacting pedestrians impact the total distance traversed during path deviation.

Highlights

  • Business districts have become spaces where people enjoy leisure time, pedestrians gather, and commercial activities are carried out

  • Footage recorded using a unmanned aerial vehicle (UAV) camera was analysed to derive a dataset featuring pedestrian trajectories near a building entrance. e deviation behaviour was quantified using a two-step analysis process consisting of one-to-one correlation tests and a stepwise linear regression modelling procedure

  • We showed that pedestrians passing a building entrance deviate from their intended path

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Summary

Introduction

Business districts have become spaces where people enjoy leisure time, pedestrians gather, and commercial activities are carried out. The shortest path to an agent’s destination, an agent’s preferred walking speed, the movement behaviours of the surrounding pedestrians, and the presence of obstacles (e.g., dustbins, benches, and building facades) are considered when modelling commercial pedestrian areas. In most contemporary pedestrian models featuring commercial areas, the effect of (entrances in) building facades on movement behaviour is not considered. Seminal works by Hankin and Wright [19], Weidmann [20], Daamen and Hoogendoorn [21], and Seyfried et al [22] provided first insights into the impact of pedestrian movement dynamics on the capacity of a space These studies illustrate that crowd density negatively impacts the walking speed of pedestrians. To the authors’ knowledge, the impact of entrances in the immediate vicinity on pedestrian walking dynamics is undetermined

Research Methodology
Case Study
One-to-One Correlation
Regression Model
Conclusions
Implications of This Study for Designing Pedestrian Urban Spaces
Findings
Disclosure
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