Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models by Zheng, Yunhan, Wang, Shenhao, Zhao, Jinhua

“…We then demonstrate the prediction disparities in travel behavior modeling using the 2017 National Household Travel Survey (NHTS) and the 2018–2019 My Daily Travel Survey in Chicago. …”
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Modelling bicycle route choice using data from a GPS-assisted household survey by Muhammad Ghanayim, Shlomo Bekhor

“…Bicycle route preferences are analysed using a dataset from a GPS-assisted household travel survey conducted in the Tel Aviv metropolitan area. …”
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Network structure and travel time perception. by Pavithra Parthasarathi, David Levinson, Hartwig Hochmair

“…The purpose of this research is to test the systematic variation in the perception of travel time among travelers and relate the variation to the underlying street network structure. Travel survey data from the Twin Cities metropolitan area (which includes the cities of Minneapolis and St. …”
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El uso del tiempo en espacios próximos. Una caracterización de la ciudad de Barcelona (2006) by Jorge Cerdà Troncoso

“…The method was applied to household travel survey of Barcelona. The results show that the nearby activity durations are smaller than the no nearby. …”
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Le paradoxe de l’heure de pointe et des horaires de travail flexibles by Emmanuel Munch, Laurent Proulhac

“…Based on an international literature review and the exploiting of the last national household travel survey in the Parisian region (ENTD 08), it reveals new findings that are apparently paradoxical. …”
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Entre « automobilité », proximité et sédentarité by Pascal Pochet, Remi Corget

“…With the household travel survey of ‘Grenoble 2002’ (which includes a vast extra-urban territory, with various characteristics), we present some elements of understanding of the daily mobility of the elderly in low density areas. …”
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Something from nothing: Estimating consumption rates using propensity scores, with application to emissions reduction policies. by Nicholas Bardsley, Milena Büchs, Sylke V Schnepf

“…We demonstrate the method using the UK National Travel Survey, in which c.40% of motorist households purchase no fuel. …”
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Interactions between Travel Behaviour, Accessibility and Personal Characteristics by A Simma, K.W. Axhausen

“…The models are based on the 1992 Upper Austrian travel survey and the Upper Austrian transport model.   …”
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What does Uber bring for consumers? by Jiehong Qiu

“…The estimation uses three datasets: individual-level choice dataset—the National Household Travel Survey (NHTS) data of 2008–2009, origin-destination level dataset—Uber data, and Google data of 2017. …”
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On the consistency between commuting satisfaction and traveling utility: the case of the University of Luxembourg by François Sprumont, Paola Astegiano, Francesco Viti

“…Using a cross-sectional travel survey, the objective of this paper is to quantify the relationship between commuters’ stated choice satisfaction (a proxy for remembered utility) and the Logsum function of the utility of all available modes of transport (decision utility). …”
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Editorial: Special issue of the 5th Symposium of the European Association of Research in Transportation by Sander van Cranenburgh, Thijs Dekker

“…The contributions cover a wide range of topics in transportation, reflecting the broad scope of the hEART symposium series, including but not limited to travel behaviour, travel survey methods, railway freight as well as (terminal) logistics. …”
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Research on dynamic prediction method for traffic demand based on trip generation analysis by Hai-jing Xu, Wen-yong Li, Tao Wang, An-lei Yang

“…Based on the main contents of urban residents’ travel survey and the characteristics of traditional residents’ travel demand, this article analyzed the dynamic changes of travel characteristics and the main influencing factors of travel formation of future residents. …”
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Public transit network planning in small cites considering safety and convenience by Changxi Ma, Dong Yang

“…First, based on the data of residents’ travel survey, this article employs the multiple regression method to forecast the traffic generation and adopts the double-constrained gravity model to forecast the residents’ travel distribution of small cites. …”
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Capturing diversity in electric vehicle charging behaviour for network capacity estimation by Crozier, C, Morstyn, T, McCulloch, M

“…The model combines readily available travel survey data with high resolution data from an electric vehicle trial, using clustering and conditional probabilities. …”

Understanding the Link between Urban Activity Destinations and Human Travel Pattern by Jiang, Shan, Gonzalez, Marta C., Ferreira, Joseph, Jr.

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A note on commuting times and city size: Testing variances as well as means by Qian An, Peter Gordon, James E. Moore

“…In this paper, we utilize 2009 Nationwide Highway Travel Survey data and test the relationship between area commute-time means as well as variances in metropolitan-area size. …”
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The Influence of the COVID-19 Pandemic on Travel Behaviour in the Greater Copenhagen Area by Vincent Henrion, Jesper Bláfoss Ingvardson, Otto Anker Nielsen

“…The analysis covers large-scale travel survey data as well as a segmentation clustering analysis of public transport smart card data. …”
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Calibrating a trip distribution gravity model stratified by the trip purposes for the city of Alexandria by Mounir Mahmoud Moghazy Abdel-Aal

“…This paper proposes a framework to calibrate a doubly-constrained gravity model for the trip distribution of the city of Alexandria based on a Household Travel Survey carried out in 2002. The trip ends are estimated from the available census data. …”
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Does urban form influence automobile trip frequency in Accra, Ghana? by Nana Yaw Oppong-Yeboah, Tae-Hyoung Tommy Gim

“…It particularly employs a partial least square structural equation modelling approach with the aim of appreciating the complexities in the land use-travel behavior interaction with the aid of data from the 2012 National Household Travel Survey of Ghana. The paper finds that the main explanatory factors identified in the land use-transportation-travel behavior literature are deemed significant in the case of Accra with socio-demographics yielding the largest magnitude. …”
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STRUCTURAL CHANGES IN JAPAN’S URBAN SYSTEM FROM 1990 TO 2010 by Kai LIU, Tamba Sahr DAUDA

“…This study aims to clarify the spatiotemporal pattern of Japan’s urban system (JUS) and then to elucidate the characteristics of change and the related factors, based on an inter-regional travel survey conducted in Japan from 1990 to 2010, as well as numerous official censuses. …”
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