[HTML][HTML] The promises of big data and small data for travel behavior (aka human mobility) analysis
The last decade has witnessed very active development in two broad, but separate fields,
both involving understanding and modeling of how individuals move in time and space …
both involving understanding and modeling of how individuals move in time and space …
Review of GPS travel survey and GPS data-processing methods
Global positioning system (GPS) devices have been utilised in travel surveys since the late
1990s. Because GPS devices are very accurate at recording time and positional …
1990s. Because GPS devices are very accurate at recording time and positional …
Walking distance by trip purpose and population subgroups
Y Yang, AV Diez-Roux - American journal of preventive medicine, 2012 - Elsevier
BACKGROUND: Walking distance is an important concept in the fields of transportation and
public health. A distance of 0.25 miles is often used as an acceptable walking distance in US …
public health. A distance of 0.25 miles is often used as an acceptable walking distance in US …
Discovering urban activity patterns in cell phone data
Massive and passive data such as cell phone traces provide samples of the whereabouts
and movements of individuals. These are a potential source of information for models of …
and movements of individuals. These are a potential source of information for models of …
TripImputor: Real-time imputing taxi trip purpose leveraging multi-sourced urban data
Travel behavior understanding is a long-standing and critically important topic in the area of
smart cities. Big volumes of various GPS-based travel data can be easily collected, among …
smart cities. Big volumes of various GPS-based travel data can be easily collected, among …
Travel mode detection based on GPS track data and Bayesian networks
G **ao, Z Juan, C Zhang - Computers, environment and urban systems, 2015 - Elsevier
Over the past couple of decades, there has been an exponential increase in the collection of
large-scale GPS data from household/personal travel surveys all over the world. A range of …
large-scale GPS data from household/personal travel surveys all over the world. A range of …
Deriving personal trip data from GPS data: A literature review on the existing methodologies
GPS technology was used in person trip (PT) survey since mid-1990, and this technology
achieved its popularity because of the improvement of accuracy and portability of GPS …
achieved its popularity because of the improvement of accuracy and portability of GPS …
From traces to trajectories: How well can we guess activity locations from mobile phone traces?
Passively generated mobile phone dataset is emerging as a new data source for research in
human mobility patterns. Information on individuals' trajectories is not directly available from …
human mobility patterns. Information on individuals' trajectories is not directly available from …
Supporting large-scale travel surveys with smartphones–A practical approach
Collection of travel data is a key task of transportation modeling. Data collection is currently
based on costly and time-intensive questionnaires, and can thus only provide limited cross …
based on costly and time-intensive questionnaires, and can thus only provide limited cross …
Travel mode detection using GPS data and socioeconomic attributes based on a random forest classifier
B Wang, L Gao, Z Juan - IEEE Transactions on Intelligent …, 2017 - ieeexplore.ieee.org
The past few years have witnessed the rapid growth in the collection of large-scale GPS
data via smartphone-based travel surveys around the world, following which transportation …
data via smartphone-based travel surveys around the world, following which transportation …