Every trip begins and ends with walking. Many factors affect our decisions on whether, when and where we walk: personal traits, built environment, trip purpose, urban context and other environmental and cultural variables. Although many models refer the importance of such issues, integrated and structured analysis that bring together these concerns is still lacking. Pedestrian accessibility has...

Evacuations requiring large numbers of pedestrians to evacuate and potentially interact with vehicles are unique in the complexity of interactions that must be understood and in the potentially catastrophic consequences of poor management. On the pedestrian side alone, these events, which may result from a variety of causes including terrorist attacks, bomb threats, and building fires, require ...

This study investigates the effect of spatial correlation using a Bayesian spatial framework to model pedestrian and bicycle crashes in Traffic Analysis Zones (TAZs). Aggregate models for pedestrian and bicycle crashes were estimated as a function of variables related to roadway characteristics, and various demographic and socio-economic factors. It was found that significant differences were p...

As a result of the geometric constraints stairs, pedestrian movement features on stairways are different from level ambulation. Therefore, it is necessary for us to consider stairs' three-dimensional geometry when we try explore how stair configuration affects efficiency. Based fundamental previous single-file experiment investigated flow under various configurations with an improved agent-base...

In the process of walking, most pedestrians prefer to choose shortest path, which requires passing through conflict area. However, in case high crowd density, 5–20% total population will follow pre-planned route before walking or during initial period trip bypass Aiming at reproducing this detour behavior phenomenon, an extended social force model (SFM) is proposed according a three-layer pedes...

Pedestrian movement is woven into the fabric of urban regions. With more people living in cities than ever before, there is an increased need to understand and model how pedestrians utilize and move through space for a variety of applications, ranging from urban planning and architecture to security. Pedestrian modeling has been traditionally faced with the challenge of collecting data to calib...

In this thesis, we present a framework for segmentation of pedestrians in videos. Traditional image segmentation algorithms have relied on learning an appearance model for the regions of interest in an image and using that model to segment new images. However, large variations in the appearance of pedestrians due to differences in clothing makes it impossible to learn a reliable appearance mode...

Pedestrian activity is a cornerstone for urban sustainability, with key implications the environment, public health, social cohesion, and local economy. Therefore, city planners, designers, decision-makers require tools to predict pedestrian mobility assess walkability of existing or planned environments. For this purpose, diverse approaches have been used analyze different inputs such as stree...