Assessing impacts of objective features and subjective perceptions of street environment on running amount: A case study of Boston
The built environment is found to relate to running behaviors. However, the impacts of the
street environment on running were less addressed due to the lack of running data in large …
street environment on running were less addressed due to the lack of running data in large …
Forecasting e-scooter substitution of direct and access trips by mode and distance
An e-scooter trip model is estimated from four US cities: Portland, Austin, Chicago and New
York City. A log–log regression model is estimated for e-scooter trips based on user age …
York City. A log–log regression model is estimated for e-scooter trips based on user age …
A Bayesian spatial Poisson-lognormal model to examine pedestrian crash severity at signalized intersections
Reducing nonmotorized crashes requires a profound understanding of the causes and
consequences of the crashes at the facility level. Generally, existing literature on bicyclists …
consequences of the crashes at the facility level. Generally, existing literature on bicyclists …
[HTML][HTML] Pedestrian-oriented development in Beirut: a framework for estimating urban design impacts on pedestrian flows through modeling, participatory design, and …
As municipalities are setting ambitious targets to increase non-motorized transportation
mode shares, analytic frameworks for examining how such targets will be met become …
mode shares, analytic frameworks for examining how such targets will be met become …
Using multiple hybrid spatial design network analysis to predict longitudinal effect of a major city centre redevelopment on pedestrian flows
Predicting how changes to the urban environment layout will affect the spatial distribution of
pedestrian flows is important for environmental, social and economic sustainability. We …
pedestrian flows is important for environmental, social and economic sustainability. We …
A geographically weighted regression model to examine the spatial variation of the socioeconomic and land-use factors associated with Strava bike activity in Austin …
Despite evidence showing the spatial nonstationarity of the determinants of bike activity,
very few studies have addressed the phenomena, probably due to the limited sample size of …
very few studies have addressed the phenomena, probably due to the limited sample size of …
Varying influences of the built environment on daily and hourly pedestrian crossing volumes at signalized intersections estimated from traffic signal controller event …
PA Singleton, K Park, DH Lee - Journal of transport geography, 2021 - Elsevier
Direct-demand models of pedestrian volumes (identifying relationships with built
environment characteristics) require pedestrian data, typically from short-duration manual …
environment characteristics) require pedestrian data, typically from short-duration manual …
Challenges and opportunities of emerging data sources to estimate network-wide bike counts
Emerging sources of mobile location data such as Strava and other phone-based apps may
provide useful information for assessing bicycle activity on each link of a network. Despite …
provide useful information for assessing bicycle activity on each link of a network. Despite …
Comparing direct demand models for estimating pedestrian volumes at intersections and their spatial transferability to other jurisdictions
LTP Sobreira, B Hellinga - Transportation research record, 2023 - journals.sagepub.com
Direct demand (DD) models are used to estimate pedestrian volumes at intersections as a
function of readily available variables, such as land use and socioeconomic features. The …
function of readily available variables, such as land use and socioeconomic features. The …
Exploring Data Fusion Techniques to Estimate Network-Wide Bicycle Volumes
This research developed a method for evaluating and integrating emerging sources (Strava,
StreetLight, and Bikeshare) of bicycle activity data with conventional demand data …
StreetLight, and Bikeshare) of bicycle activity data with conventional demand data …