Detecting travel modes from smartphone-based travel surveys with continuous hidden Markov models by Guangnian Xiao, Qin Cheng, Chunqin Zhang

“…First, we conduct a travel survey with smartphones in Shanghai City, China. …”
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Assessing the representativeness of a smartphone-based household travel survey in Dar es Salaam, Tanzania by Zegras, P. C, Li, Menghan, Kilic, Talip, Lozano-Gracia, Nancy, Ghorpade, Ajinkya, Tiberti, Marco, Aguilera, Ana I, Zhao, Fang

“…Abstract The household travel survey (HTS) finds itself in the midst of rapid technological change. …”
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Method for Gauging Usage Opportunities for Partially Automated Vehicles with Application to Public Travel Survey Data Sets by Laberteaux, Kenneth P., Hamza, Karim, Berger, Alan M, Brown, Casey L.

“…To demonstrate the proposed method, data on vehicle trips from public travel surveys in California (California Household Travel Survey) and Atlanta, Georgia (Atlanta Regional Commission Travel Survey), were used along with simplified prototypical models for partial AD. …”
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Household travel survey method for vehicle kilometers travel estimations: A case study in a developing country by Sarala Gunathilaka, Niranga Amarasingha, Sunanda Dissanayake, Malika Lakmali

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Temporary versus Permanent Pandemic Transit Leavers: Findings from the 2022 US National Household Travel Survey by Julene Paul

“…Using data from the 2022 National Household Travel Survey, I explore the socio-demographic characteristics of Americans who reduced their use of public transit during the latter stages of the COVID-19 pandemic. …”
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Trip purpose prediction using travel survey data with POI information via gradient boosting decision trees by De Zhao, Wei Zhou, Wei Wang, Xuedong Hua

“…In this study, five trip purposes are extracted, including education, recreation, personal, shopping, and transportation, from Chengdu Household Travel Survey (HTS) data. The individual and trip characteristics that are common and can be easily derived from GPS data are carefully selected and extracted. …”
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Effects of residence and race on burden of travel for care: cross sectional analysis of the 2001 US National Household Travel Survey by Wang Jong-Yi, Laditka Sarah B, Probst Janice C, Johnson Andrew O

“…</p> <p>Methods</p> <p>Data were drawn from 2001 National Household Travel Survey (NHTS), a nationally representative, cross-sectional household survey conducted by the US Department of Transportation. …”
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A methodology to derive land use specific auto-trip emission footprints from household travel survey data by Mohan Venigalla, Shweta Dixit, Srinivas Pulugurtha

Subjects: “…deriving emissions from travel survey data…”
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Measuring travel equity and representativeness : opportunities and challenges of using smartphone-based travel survey in Dar es Salaam, Tanzania by Li, Menghan, M.C.P. Massachusetts Institute of Technology

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An analysis of concessionary bus fare schemes for OAPS using the 1985/86 national travel survey/ Deirdre M O'Reilly by O'Reilly, Deirdre M.

The association between graduated driver licensing laws and travel behaviors among adolescents: an analysis of US National Household Travel Surveys by Motao Zhu, Peter Cummings, Songzhu Zhao, Thomas Rice

“…Methods We used data from the US National Household Travel Survey for the years 1995–1996, 2001–2002, and 2008–2009 to estimate the adjusted ratio for the number of trips and trip kilometers made by persons exposed to a GDL law, compared with those not exposed. …”
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Online and in-person activity logging using a smartphone-based travel, activity, and time-use survey by André Alho, Cheng Cheng, Dao Trung Hieu, Takanori Sakai, Fang Zhao, Moshe Ben-Akiva, Lynette Cheah

Subjects: “…Travel survey…”
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Mapping imported malaria in Bangladesh using parasite genetic and human mobility data by Hsiao-Han Chang, Amy Wesolowski, Ipsita Sinha, Christopher G Jacob, Ayesha Mahmud, Didar Uddin, Sazid Ibna Zaman, Md Amir Hossain, M Abul Faiz, Aniruddha Ghose, Abdullah Abu Sayeed, M Ridwanur Rahman, Akramul Islam, Mohammad Jahirul Karim, M Kamar Rezwan, Abul Khair Mohammad Shamsuzzaman, Sanya Tahmina Jhora, M M Aktaruzzaman, Eleanor Drury, Sonia Gonçalves, Mihir Kekre, Mehul Dhorda, Ranitha Vongpromek, Olivo Miotto, Kenth Engø-Monsen, Dominic Kwiatkowski, Richard J Maude, Caroline Buckee

Subjects: “…travel survey…”
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Travel for medical or dental care by race/ethnicity and rurality in the U.S.: Findings from the 2001, 2009 and 2017 National Household Travel Surveys by Marvellous Akinlotan, Nima Khodakarami, Kristin Primm, Jane Bolin, Alva O. Ferdinand

“…We analyzed data from the 2001, 2009, and 2017 National Household Travel Surveys. Main outcomes were the average travel distance (in miles), average travel time (in minutes), and travel burden, characterized as the percentage of trips lasting ≥ 30 miles or minutes for medical/dental care. …”
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Towards comfortable and walkable cities : spatially resolved outdoor thermal comfort analysis linked to travel survey-based human activity schedules by Rakha, Tarek

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Differences in walking and cycling between professional immigrants and comparable ethnic Dutch: A quantitative analysis from the Netherlands by Koen Faber, Simon Kingham, Lindsey Conrow, Dea van Lierop

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Associations between Public Transport Accessibility around Homes and Schools and Walking and Cycling among Adolescents by Syafiqah Hannah Binte Zulkefli, Alison Barr, Ankur Singh, Alison Carver, Suzanne Mavoa, Jan Scheurer, Hannah Badland, Rebecca Bentley

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Implications of survey methods on travel and non-travel activities: A comparison of the Austrian national travel survey and an innovative mobility-activity-expenditure diary (MAED) by Florian Aschauer, Reinhard Hössinger, Kay W. Axhausen, Basil Schmid, Regine Gerike

“…This paper contributes to the research on non-reporting effects in mixed-method household travel surveys (HTS) in two ways: Firstly, we compare travel activities reported in the established Austrian National HTS (ANTS) with an innovative survey approach, the so-called “MobilityActivity-Expenditure Diary” (MAED), and secondly we extend the analysis to (i) additional travel estimates and to (ii) non-travel activities. …”
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Understanding skepticism of smartphones in travel behavior research: A qualitative approach by Gunnhild B.A. Svaboe, Arild Blekesaune, Trude Tørset

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Intermodal, urban, mobil – Charakterisierung intermodaler Wege und Nutzer am Beispiel Berlin by Julia Jarass, Rebekka Oostendorp

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