This project seeks to bridge two lines of inquiry, both concerning the future trajectory of travel behavior. The first one explores shifts in travel patterns amid the rise of home-based teleactivities – defined here as activities traditionally conducted outside the home but increasingly performed at home through digital technological applications, such as working from home, […]
This is a human behavioral study designed to develop methodology to predict demand for bicycle and pedestrian facilities. The current design guidance for bicycle and pedestrian facilities does not include specific guidance for predicting numbers of bicycle and pedestrian users. The available guidance for such facilities suggests designers should consider the number of users, and
Estimating Latent Bicyclist and Pedestrian Demand for Shared Use Path Design Read More »
This project will develop methods for identifying bottlenecks in multimodal maritime freight systems as demand patterns shift. Examples of such changes are increased demand due to onshoring of manufacturing industries; competition from alternative shipping modes (rail, overland); and demand changes during natural or man-made disruptions (which may simultaneously cause capacity changes). To address this goal,
Multimodal Freight Network Capacity and Resilience Under Demand Shifts Read More »
Empirical research studies across multiple fields employ data from large surveys for their analysis. In doing so, studies must address such sampling-related issues as non-response, missing data, unequal sampling, and other survey biases. The voluntary nature of most surveys means that, in many empirical applications, data are not randomly selected from the population. Instead, researchers
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 »
This study addresses a critical gap in the literature by offering a novel analytical lens to understanding walking behaviors among older adults in the post-pandemic era. The walking survey of older adults in the US population to be used in the proposed research was undertaken through the Foresight 50+ Consumer Omnibus panel survey, which constitutes
E-commerce growth has transformed retail, offering unparalleled convenience but causing a surge in product delivery returns. Industry reports show 30% of online purchases are returned, compared to 9% for brick-and-mortar stores, resulting in an $817 billion financial burden in 2022, with online retail accounting for a quarter. The impacts extend beyond finances, straining logistics and
Public transportation has experienced rapid changes in ridership over the past several years, driven by the COVID-19 pandemic. Numerous studies have focused on how health concerns and social distancing/lockdown measures during the pandemic resulted in the immediate decline in public transportation usage. For instance, in many cities within the US, transit ridership declined to a
