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[HTML][HTML] Emerging data for pedestrian and bicycle monitoring: Sources and applications
K Lee, IN Sener - Transportation research interdisciplinary perspectives, 2020 - Elsevier
Growing attention on the benefits of non-motorized travel has increased the demand for
accurate and timely pedestrian and bicycle travel data. Advancements in technologies and …
accurate and timely pedestrian and bicycle travel data. Advancements in technologies and …
Revealed preference methods for studying bicycle route choice—A systematic review
R Pritchard - International journal of environmental research and …, 2018 - mdpi.com
One fundamental aspect of promoting utilitarian bicycle use involves making modifications to
the built environment to improve the safety, efficiency and enjoyability of cycling. Revealed …
the built environment to improve the safety, efficiency and enjoyability of cycling. Revealed …
[HTML][HTML] Map** ridership using crowdsourced cycling data
Cycling volumes are necessary to understand what influences ridership and are essential
for safety studies. Traditional methods of data collection are expensive, time consuming, and …
for safety studies. Traditional methods of data collection are expensive, time consuming, and …
What can volunteered geographic information tell us about the different ways mountain bikers, runners and walkers use urban reserves?
Urban nature reserves are increasingly popular for recreational activities but who uses them,
for what activities, and when and where do visitors go? Volunteered geographic information …
for what activities, and when and where do visitors go? Volunteered geographic information …
[HTML][HTML] Data-driven bicycle network analysis based on traditional counting methods and GPS traces from smartphone
This research describes numerical methods to analyze the absolute transport demand of
cyclists and to quantify the road network weaknesses of a city with the aim to identify …
cyclists and to quantify the road network weaknesses of a city with the aim to identify …
[HTML][HTML] Map** user experiences around transit stops using computer vision technology: Action priorities from Cairo
In the field of urban studies, artificial intelligence technology offers potential applications.
There are, however, limited sources on how technology can contribute to the study of user …
There are, however, limited sources on how technology can contribute to the study of user …
Representing pedestrian activity in travel demand models: Framework and application
There have long been calls for better pedestrian planning tools within travel demand
models, as they have been slow to incorporate the large body of research connecting the …
models, as they have been slow to incorporate the large body of research connecting the …
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 …
Estimation of average annual daily bicycle counts using crowdsourced Strava data
Traffic volumes are fundamental for evaluating transportation systems, regardless of travel
mode. A lack of counts for non-motorized modes poses a challenge for practitioners …
mode. A lack of counts for non-motorized modes poses a challenge for practitioners …
Varying influences of the built environment on daily and hourly pedestrian crossing volumes at signalized intersections estimated from traffic signal controller event …
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 …