Analysis of Alternative Fuel Vehicle (AFV) Adoption Utilizing Different Machine Learning Methods: A Case Study of 2017 NHTS by Jianmin Jia

“…This paper aimed to investigate the AFV adoption behavior in order to estimate the AFV penetration in specific regions. 2017 National Household Travel Survey (NHTS), providing the detailed information of AFV users, was utilized to conduct the factor analysis and establish the prediction model. …”
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Predicting the Regional Adoption of Electric Vehicle (EV) With Comprehensive Models by Jianmin Jia, Baiying Shi, Fa Che, Hui Zhang

“…The real-world owners of EV were extracted from the 2017 National Household Travel Survey (NHTS), which provides large-scale individual characteristics. …”
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Transportation Patterns of Adults With Travel-Limiting Disabilities in Rural and Urban America by Andrew Myers, Catherine Ipsen, Krys Standley

“…While the importance of transportation access is clear, the mix of different transportation options used by people with disabilities to participate in their communities is less understood, particularly among those who do not or cannot drive.MethodsWe used data from the 2017 National Household Travel Survey to explore transportation behaviors among disabled adults in rural and urban areas and by four regions across the United States. …”
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Constructing activity–mobility trajectories of college students based on smart card transaction data by Negin Ebadi, Jee Eun Kang, Samiul Hasan

“…A database of 37 students’ travel survey and UB card transactions that contains a period of 5 days have been used to illustrate the results of the study. …”
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An Overview of Existing Experiences with Solar-Powered E-Bikes by Georgia Apostolou, Angèle Reinders, Karst Geurs

“…Finally, it analyzes a sample of e-bikes’ and solar-powered e-bikes’ users, based on Dutch National Travel Survey data and an experimental field study conducted in 2017. …”
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The relationship between school districts and parental commuting behavior: Analysis of gender differences in the Chinese context by Huaxiong Jiang, Qingfang Liu, Yongling Li, Kaifei Guo, Yuanyuan Guo

“…This study applies the 2015 Xiamen household travel survey to investigate the associations between the school district and parental commuting behavior. …”
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Use of different exposure metrics for understanding multi-modal travel injury risk by S. Ilgin Guler, Offer Grembek

“…Quantitative results are also obtained from combining travel survey data with police collision reports for ten counties in California. …”
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Low-Carbon Impact of Urban Rail Transit Based on Passenger Demand Forecast in Baoji by Na Zhang, Zijia Wang, Feng Chen, Jingni Song, Jianpo Wang, Yu Li

“…The reduction of carbon emissions brought about by rail transit lacks specific quantitative research. Based on a travel survey of urban residents, this paper constructed a method of estimating carbon emissions from two different scenarios where rail transit is and is not available. …”
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Understanding Users’ Satisfaction towards Public Transit System in India: A Case-Study of Mumbai by Rahul Deb Das

“…To improve the quality and patronage of public transit system, authorities often use manual travel surveys. But manual surveys often suffer from quality issues. …”
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Multiparadigm Modeling Framework to Evaluate the Impacts of Travel Patterns on Electric Vehicle Battery Lifespan by Shubham Agrawal, Srinivas Peeta, Mohammad Miralinaghi

“…National Household Travel Survey of 2009 to simulate household travel patterns and corresponding battery lifespan distribution.…”
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Understanding and including 'pink-collar' workers in employment-based travel demand models. by Yiping Yan, Abraham Leung, Matthew Burke, James McBroom

“…This paper harnesses a data-driven approach using unsupervised clustering-applied to 2017-20 South East Queensland Travel Survey (SEQTS) data. Commuter types are grouped by occupational, industry, and socio-demographic variables (i.e., gender, age, household size, household vehicle ownership and worker skill score). …”
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Multidimensional well-being of US households at a fine spatial scale using fused household surveys by Kevin Ummel, Miguel Poblete-Cazenave, Karthik Akkiraju, Nick Graetz, Hero Ashman, Cora Kingdon, Steven Herrera Tenorio, Aaryaman Sunny Singhal, Daniel Aldana Cohen, Narasimha D. Rao

“…The presented data comprise the fusion onto the American Community Survey (ACS) microdata of select donor variables from the Residential Energy Consumption Survey (RECS) of 2015, the National Household Travel Survey (NHTS) of 2017, the American Housing Survey (AHS) of 2019, and the Consumer Expenditure Survey - Interview (CEI) for the years 2015–2019. …”
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How does neighborhood walkability affect obesity? The mediating role of commute mode by Wenyue Yang, Xinyu Zhen, Suhong Zhou

“…To answer these questions, based on the 2019 travel survey data in Guangzhou, this paper uses the Multilevel Linear Model (MLM) to examine the association between neighborhood walkability and residents’ body mass index (BMI). …”
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Future Mobility Survey by Cottrill, Caitlin, Pereira, Francisco, Zhao, Fang, Lim, Hock, Ben-Akiva, Moshe, Zegras, P. Christopher, Dias, Ines

“…The Future Mobility Survey (FMS) is a smartphone-based prompted-recall travel survey that aims to support data collection initiatives for transport-modeling purposes. …”
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Modeling Framework and Implementation of Activity- and Agent-Based Simulation: An Application to the Greater Boston Area by Hemerly Viegas de Lima, Isabel, Danaf, Mazen, Akkinepally, Arun P, Lima De Azevedo, Carlos Miguel, Ben-Akiva, Moshe E

“…The models are estimated for the GBA using the 2010 Massachusetts Travel Survey (MTS). They are then implemented in SimMobility, the agent-based, activity-based, multimodal simulator. …”
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Alternative Activity Pattern Generation for Stated Preference Surveys by He, He, Atasoy, Bilge, Brazier, J. Cressica, Zegras, Pericles C, Ben-Akiva, Moshe E

“…As a proof-of-concept, we apply the method to a multi-day activity-travel survey in Singapore and consider the hypothetical implementation of an on-demand autonomous vehicles service. …”
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Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models by Zheng, Yunhan

“…The author then demonstrates the prediction disparities in travel behavioral modeling using the National Household Travel Survey 2017. Empirically, DNN and DCM reveal consistent prediction disparities across multiple social groups, although DNN can outperform DCM in prediction disparities because of DNN’s smaller misspecification error. …”
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Evaluating the feasibility of measuring travel to school using a wearable camera. by Kelly, P, Doherty, A, Hamilton, A, Matthews, A, Batterham, A, Nelson, M, Foster, C, Cowburn, G

“…Participants also completed a researcher-administered self-report travel survey over the same period. Analysis took place in November 2011. …”

Optimizing copious activity type classes based on classification accuracy and entropy retention by Ectors, W, Reumers, S, Do Lee, WD, Kochan, B, Janssens, D, Bellemans, T, Wets, G

“…However, this approach is practically impossible in a finite amount of time for e.g. the US National Household Travel Survey (NHTS) 2009 data set, which comprises 36 ATCs (home activity excluded), since there would be 3.82⋅1030 unique combinations (an exponential increase). …”

Spatial pattern, transportation, and air quality nexus in Iskandar Malaysia by Mohd. Yusop, Azalia

“…The spatial pattern study was conducted by analysing the current land use pattern and supported by the household travel survey of 400 household held in eight prominent residential zones. …”
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