[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 …

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 …

[HTML][HTML] Map** ridership using crowdsourced cycling data

B Jestico, T Nelson, M Winters - Journal of transport geography, 2016 - Elsevier
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 …

What can volunteered geographic information tell us about the different ways mountain bikers, runners and walkers use urban reserves?

P Norman, CM Pickering, G Castley - Landscape and Urban Planning, 2019 - Elsevier
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 …

[HTML][HTML] Data-driven bicycle network analysis based on traditional counting methods and GPS traces from smartphone

F Rupi, C Poliziani, J Schweizer - ISPRS International Journal of Geo …, 2019 - mdpi.com
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 …

[HTML][HTML] Map** user experiences around transit stops using computer vision technology: Action priorities from Cairo

S Wael, A Elshater, S Afifi - Sustainability, 2022 - mdpi.com
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 …

Representing pedestrian activity in travel demand models: Framework and application

KJ Clifton, PA Singleton, CD Muhs… - Journal of transport …, 2016 - Elsevier
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 …

A geographically weighted regression model to examine the spatial variation of the socioeconomic and land-use factors associated with Strava bike activity in Austin …

S Munira, IN Sener - Journal of Transport Geography, 2020 - Elsevier
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 …

Estimation of average annual daily bicycle counts using crowdsourced Strava data

B Dadashova, GP Griffin, S Das… - Transportation …, 2020 - journals.sagepub.com
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 …

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 …