A GPS/GIS method for travel mode detection in New York City

H Gong, C Chen, E Bialostozky, CT Lawson - Computers, environment and …, 2012 - Elsevier
Handheld GPS provides a new technology to trace people's daily travels and has been
increasingly used for household travel surveys in major cities worldwide. However …

Continuous mobility surveys: the state of practice

JDD Ortúzar, J Armoogum, JL Madre, F Potier - Transport Reviews, 2011 - Taylor & Francis
In this paper we challenge the prevailing practice of conducting one‐off cross‐sectional
mobility surveys, making a case for change on the basis of usefulness and cost …

Evaluating the feasibility of a passive travel survey collection in a complex urban environment: Lessons learned from the New York City case study

C Chen, H Gong, C Lawson, E Bialostozky - Transportation Research Part …, 2010 - Elsevier
The combination of increasing challenges in administering household travel surveys and
advances in global positioning systems (GPS)/geographic information systems (GIS) …

[KNIHA][B] Urban rhythms and travel behaviour: spatial and temporal phenomena of daily travel

S Schönfelder, KW Axhausen - 2016 - taylorfrancis.com
The recent availability of longitudinal data on individual trip making and activity behaviour
has provided analysts with new insights into the structures and motives of daily life travel …

Predicting the market potential of plug-in electric vehicles using multiday GPS data

M Khan, KM Kockelman - Energy Policy, 2012 - Elsevier
GPS data for a year's worth of travel by 255 Seattle households illuminate how plug-in
electric vehicles can match household needs. The results suggest that a battery-electric …

Develo** a passive GPS tracking system to study long-term travel behavior

AD Marra, H Becker, KW Axhausen… - … research part C: emerging …, 2019 - Elsevier
This paper describes development and testing of a passive GPS tracking smartphone
application and corresponding data analysis methodology designed to increase the quality …

Machine learning for activity pattern detection

NS Hadjidimitriou, G Cantelmo… - Journal of Intelligent …, 2023 - Taylor & Francis
This paper proposes a data fusion approach to automatically detect activity patterns in a
GPS dataset based on travel diaries and correct misclassification errors. The Activity …

[HTML][HTML] Identifying mobility segments for leisure travel: A cluster analysis based on a one-month travel survey

E Strömblad - Transportation research part A: policy and practice, 2024 - Elsevier
Despite awareness of the negative consequences of car use, leisure trips are still often
made by car. A better understanding of the potential for a transition to more sustainable …

Investigation on the joint travel behavior in bike sharing systems during the COVID-19 pandemic: Insights from New York City

H Bi, H Gao, A Li, Z Ye - Journal of Transport Geography, 2024 - Elsevier
As the COVID-19 pandemic worsened, many people saw bikes as one of the safest means
of transportation in the hard-hit cities. All the bike sharing utilization patterns during the …

Understanding time use: Daily or weekly data?

S Jara-Díaz, J Rosales-Salas - Transportation Research Part A: Policy and …, 2015 - Elsevier
The appropriate duration of time diaries as a source of time use data is analyzed in a
structured way. Nine detailed European surveys based on seven-days diaries are used in …