Pedestrian safety remains a critical concern, with a significant rise in pedestrian fatalities in recent years. In 2022 alone, 7,522 pedestrians died in crashes, marking a troubling 57% rise from 2013 (Smart Growth America, 2024). However, traditional safety research focusing on crash outcomes and infrastructure factors has failed to capture the nuanced behavioral aspects that […]
Active transportation, encompassing walking and cycling, presents a multifaceted solution to contemporary societal challenges. The benefits of widespread active transportation extend beyond environmental improvements through reduced vehicle emissions to include economic revitalization of local businesses through increased foot traffic and public health enhancements by providing an accessible form of physical activity that improves cardiovascular health,
Modeling Spatial Dependency of Active Travel Behavior Read More »
Traditional travel behavior surveys are resource-intensive and constrained by challenges such as small sample sizes, response bias, and high costs. With the rapid advancements in artificial intelligence, particularly LLMs, we now have the opportunity to explore novel, cost-efficient methods for creating synthetic data comparable to real-world survey results. However, the potential of LLMs to contribute
Potential Use of Large Language Models (LLMs) for Travel Behavior Survey Research Read More »
Recent studies have shown that an abbreviated set of attitudinal marker variables (MVs) can serve as proxies for attitudinal factor scores from the full set of attitudinal variables, either directly or through machine learning-based imputation. Compared to models without attitudes, these MVs enhance model fit, identify additional significant explanatory variables, and improve prediction of less-often
This project advances research at the intersection of heat resilience and multimodal transportation by combining urban microclimate modeling and sensing tools with big data and travel behavioral frameworks. We aim to explore how, and to what extent, people modify their activity-mobility patterns during periods of extreme heat in Atlanta, GA. We will extend recently developed
Neutralizing Onerous Heat Effects on Active Transportation (NO-HEAT) in Atlanta Read More »
California suffers from frequent and intense wildfires every year due to its unique weather patterns and dense, flammable vegetation. Wildfires often cause significant infrastructure damage, disrupt roadway networks, interrupt business operations, and generate hazardous smoke, all of which can deteriorate the driving environment, elevate perceived safety risks, limit individuals’ ability to meet daily work-life demands,
Spatiotemporal Heterogeneous Change of Travel Behavior during Wildfires in California Read More »
Employing the state-of-the-art research on attention and feedback mechanisms, especially with vision language models (VLMs), has not been fully explored previously for transportation behavior analysis, especially for the analysis of a variety of pedestrian behaviors related to sidewalks and streets. This project will expand our previous project exploring top-down visual attention for transportation behavior analysis
The proliferation of 3D and video data from urban intersections offers a unique opportunity to analyze and protect vulnerable road users (VRUs). However, the effectiveness of modern detection models like PointPillar or CenterPoint is limited by the availability of high-quality labeled data. In Year 2, we demonstrated the feasibility of multimodal sensing using LiDAR and
Taking a two-phase approach, this study aims to investigate the nature and scale of household-based service demands, and to establish a baseline for better data collection and modeling of this under-studied component of travel demand in future research efforts. Part 1 of this project will utilize data from the recently completed Transportation Heartbeat of America
The Home as a Trip Attractor: An Exploratory Study of Residential Service Demand Read More »
The Future Travel Foresight Catalyst project combines research, public engagement, and knowledge mobilization to explore and shape the future of travel behavior and demand. Leveraging and building on methodologies and approaches developed and used in the ASU Future of Being Human initiative, the project responds to an urgent need for integrated, transdisciplinary approaches to understand
Future Travel Foresight Catalyst – Phase 3 Read More »
