Travel Mode Detection Based on GPS Raw Data Collected by Smartphones: A Systematic Review of the Existing Methodologies by Linlin Wu, Biao Yang, Peng Jing

“…Over the past couple of decades, global positioning system (GPS) technology has been utilized to collect large-scale data from travel surveys. As the precise spatiotemporal characteristics of travel could be provided by GPS devices, the issues of traditional travel survey, such as misreporting and non-response, could be addressed. …”
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Impact of ageing population on the future travel demand in Singapore by Guo, Ya Jiang.

“…Trip making characteristics of the different age and gender groups were obtained from past travel survey data. The analysis on trip-making characteristics for elderly people aged 50+ was carried out.…”
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An automated approach from GPS traces to complete trip information by Ali Yazdizadeh, Zachary Patterson, Bilal Farooq

“…The framework has the potential to be integrated with smartphone travel surveys to produce all trip characteristics traditionally collected through household travel surveys. …”
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Parking characteristics in Singapore by Sai Tha Aye.

“…Origin-destination travel survey data from the 1991 Singapore home interview survey commissioned by Public Work Department (Singapore) gave the opportunity to analyse parking characteristics in Singapore. …”
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Changes in E-bike Awareness and Consideration for Commute by Aakansha Jain, Susan L. Handy

“…This paper examines changes in e-bike awareness and consideration among commuters to the University of California, Davis campus using data from an annual travel survey. The analysis shows that awareness of e-bikes increased among commuters while consideration declined between 2019 and 2021. …”
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Walking, cycling and driving to work in the English and Welsh 2011 census: trends, socio-economic patterning and relevance to travel behaviour in general. by Anna Goodman

“…Indices of Multiple Deprivation were used to characterise socio-economic patterning. The National Travel Survey (2002-2010) was used to examine correlations between commute modal share and modal share of total travel time. …”
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Smartphone-based mobility mapping and Perceived Air Quality evaluation in Beijing by Li, Zelin, M.C.P. Massachusetts Institute of Technology

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Public Transport Use on Trip Chains: Exploring Various Mode Choice Determinants by Erik Bjørnson Lunke, Øystein Engebretsen

“…This study uses data from the National Travel Survey in Norway and develops a logistic regression model on the choice between public transport and car on daily trip chains. …”
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La mobilité révélée par GPS by Benoit Feildel

“…Drawing on a map, built with the data collected during a travel survey with few inhabitants, we have used GPS track as a tool enabling the consciousness of a geographical living that is ordinary very difficult to reach. …”
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Emissions Reductions from Electrifying High-Mileage Vehicles by Zack Aemmer, Daniel Malarkey, Don MacKenzie

“…Using the 2017 National Household Travel Survey data, we observe that the top 20% of light duty vehicles by kilometers traveled generate 46% of the annual greenhouse gas emissions. …”
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Darkness and Death in the U.S.: Walking Distances Across the Nation by Time of Day and Time of Year by Maithreyi Vellimana, Kara Kockelman

“…This paper examines walk distances across the United States by time of day and year, using data from the National Household Travel Survey 2016/2017, to understand factors contributing to higher pedestrian deaths at night across various states. …”
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Analysis of GPS vehicle tracking data by Wu, Xuefeng.

“…As a result, these travel surveys sometimes provide only limited or inaccurate travel information. …”
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Enabling sustainable mobilities : social, cultural and experiental dimensions, and the role of planning by Hickman, R, Schwanen, T, Banister, D

“…It includes data analysis using the Great Britain National Travel Survey. The commentary is developed in the light of the developing mobilities literature – covering the social, cultural and experiential dimensions of travel.…”

Exploring the relationship between the built environment, trip chain complexity, and auto mode choice, applying a large national data set by Berit Grue, Knut Veisten, Øystein Engebretsen

“…We apply national travel survey data, deriving commuting and non-commuting home-to-home trip chains, terming trip chains with more than two legs “complex”. …”
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Walking, cycling and driving to work in the English and Welsh 2011 census: trends, socio-economic patterning and relevance to travel behaviour in general by Goodman, A

“…Indices of Multiple Deprivation were used to characterise socio-economic patterning. The National Travel Survey (2002–2010) was used to examine correlations between commute modal share and modal share of total travel time. …”

Urbanisation and everyday mobility.Long-term changes of travel in urban areas of Sweden by Bertil Vilhelmson

“…This paper examines the long-term changes of travel patterns in urbanized and semi-urbanized areas of Sweden. Travel survey data reveal a connection between built-up area size/density and distance travelled. …”
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Walking as a mode of travel in Singapore by Tan, Cher Sin.

“…Data from a travel survey conducted in Singapore provided the opportunity to examine the role of walking as a mode of travel in a highly urbanised environment. …”
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Auto-mobilité urbaine des adolescents franciliens by Marie-Hélène Massot, Joël Zaffran

“…The data is drawn from the 2002 Paris Region comprehensive travel survey. We demonstrate that as teenagers age, they gain in independence in their mobilities. …”
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Intertemporal consumption, durables and liquidity constraints: a cohort analysis by Devereux, M, Alessie, R, Weber, G

“…We use pseudo panel data on purchases of non-durables and durable goods (cars) and demographic characteristics from the UK Family Expenditure Survey, as well as estimates of the durable stock constructed using the UK National Travel Survey, to estimate the equations derived in the first part of the paper. …”

HOUSEHOLD/ZONAL SOCIOECONOMIC CHARACTERISTICS AND TOUR MAKING: CASE OF RICHMOND/TRI-CITIES MODEL REGION IN VIRGINIA by Xueming CHEN

“…This paper statistically assesses the impacts of household/zonal socio economic characteristics on tour making within the Richmond/Tri-Cities Model Region, Virginia, United States, based on the dataset made available through the 2009 Virginia National Household Travel Survey (NHTS) Add-On Program. The tour analysis distinguishes nine tour types (three simple tours and six complex tours) stratified by aggregate tour purposes of work (including school and other subsistence activities), maintenance and discretionary. …”
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