PHEV Charging Strategy Via User Preferences and its Impacts on Power System Network by Mohd Redzuan, Ahmad, Ismail, Musirin, Muhammad Murtadha, Othman, Nur Azzammudin, Rahmat

“…Real vehicle travel data from National Household Travel Survey (NHTS) is used to represent PHEV types, miles driven and its final arriving times. …”
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Exploring the Spatial Heterogeneity and Influence Factors of Daily Travel Carbon Emissions in Metropolitan Areas: From the Perspective of the 15-min City by Liang Guo, Wenjun Cheng, Chang Liu, Qinghao Zhang, Shuo Yang

“…Therefore, this study used data from the Wuhan City Resident Travel Survey to describe the spatial pattern of daily travel carbon emissions among Wuhan residents. …”
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Methodology for Estimating the Spatial and Temporal Power Demand of Private Electric Vehicles for an Entire Urban Region Using Open Data by Florian Straub, Simon Streppel, Dietmar Göhlich

“…In addition to a household travel survey, statistics on the population density, the degree of motorisation, and the household income in fine spatial resolution are key data sources for generation of the model. …”
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Impact of network centrality and income on slowing infection spread after outbreaks by Shiv G. Yücel, Rafael H. M. Pereira, Pedro S. Peixoto, Chico Q. Camargo

“…To illustrate an application of the Infection Delay Model, this paper integrates household travel survey data with cell phone mobility data from the São Paulo metropolitan region to assess the effectiveness of lockdowns to slow the spread of COVID-19. …”
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Distributional effects of carbon taxation in passenger transport with lump-sum offset: low income households, retirees and families would benefit in Germany by Christine Eisenmann, Felix Steck, Lars Hedemann, Barbara Lenz, Florian Koller

“…The national household travel survey Mobility in Germany 2017 is the basis of the microscopic data set. …”
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Extending the Theory of Planned Behavior to Explore the Influence of Residents’ Dependence on Public Transport by Song Hu, Pham Minh Chau, Jiancheng Weng, Pengfei Lin, Wei Zhou

“…The agglomerative nesting clustering algorithm and multiple structural equation modeling (SEM) are then developed to identify the RDPT levels and analyze the influence relationships between the integrated influencing factors and RDPT based on travel survey data. The results indicate that the objective variables have indirect impacts on RDPT by influencing psychological variable attitudes, subjective norms and perceived control and travel intention. …”
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Estimating the electric vehicle charging demand of multi-unit dwelling residents in the United States by Xi Cheng, Eleftheria Kontou

“…This study classifies the travel patterns of MUD residents by fusing trip diary data from the National Household Travel Survey and housing features from the American Housing Survey. …”
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Electric vehicle’s impacts on China’s electricity load profiles based on driving patterns and demographics by Bo Li, Minyou Chen, Daniel M. Kammen, Wenfa Kang, Xiao Qian, Leiqi Zhang

“…Based on the dataset of the national household travel survey, the most significant influencing factors, e.g. age, location, and weekday/weekend, are identified. …”
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Effect of land use and survey design on trip underreporting in Montreal and Toronto’s regional surveys by Chris Harding, Monika Nasterska, Leila Dianat, Eric J Miller

“…This paper contributes to the literature on travel survey methods by quantifying the relationship between land use, data collection protocol and trip under-reporting in regional travel surveys. …”
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Adult active transport in the Netherlands: an analysis of its contribution to physical activity requirements. by Elliot Fishman, Lars Böcker, Marco Helbich

“…The Netherlands is a world leader in active travel, particularly cycling, but little research has sought to quantify the cumulative amount of physical activity through everyday walking and cycling.Using data collected as part of the Dutch National Travel Survey (2010 - 2012), this paper determines the degree to which Dutch walking and cycling contributes to meeting minimum level of physical activity of 150 minutes of moderate intensity aerobic activity throughout the week. …”
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Estimating the non-linear effects of urban built environment at residence and workplace on carbon dioxide emissions from commuting by Qingchun Liu, Peixiong Zhao, Yingying Zhang, Zhihui Zhang, Jun Yang, Jun Yang, Jun Yang

“…Previous studies usually assume that the relationship is linear, which may lead to inaccurate CEC prediction and ineffective policy. Using daily travel survey data of residents in the central city of Jinan, this study adopted a gradient boosting decision tree model to explore the threshold effect and the non-linear relationship between built environments and CEC. …”
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Modeling EV Charging Station Loads Considering On-Road Wireless Charging Capabilities by Walied Alfraidi, Mohammad Shalaby, Fahad Alaql

“…A case study and simulation results considering a 32-bus distribution system and the US National Household Travel Survey (NHTS) data are presented and discussed to demonstrate the impact of on-road wireless EV charging on the loads of an rapid EV charging station. …”
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Spatial Pattern, Transportation and Air Quality Nexus: The Case of Iskandar Malaysia by Azalia Mohd Yusop, Ariva Sugandi Permana

“…We undertook a household-based travel survey that reveals the poly-centricity reflected by the de-concentration of workplaces which shifted from the single point towards multiple centers. …”
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Mobility Crowdsourcing: Toward Zero-Effort Carpooling on Individual Smartphone by Nianbo Liu, Yong Feng, Feng Wang, Bang Liu, Jinchuan Tang

“…Based on a realistic travel survey and simulation, we prove that our scheme can provide efficient and accurate position estimation for individual carpools.…”
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Improved Photovoltaic Self-Consumption in Residential Buildings with Distributed and Centralized Smart Charging of Electric Vehicles by Reza Fachrizal, Joakim Munkhammar

“…The departure and arrival time and the distance covered by vehicles in each trip are specifically modeled based on available statistical data from the Swedish travel survey. The schemes are applied on simulated typical Swedish detached houses without electric heating. …”
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Interpretable machine learning models for detecting fine-grained transport modes by multi-source data by Yuhang Liu, Jun Chen, Yuchen Wang, Wei Wang

“…These mobility features are combined with multi-source data, including land use mix, GDP, population and online map service data as detection features. Using the travel survey data from Nanjing, China in 2015, the effects of different machine learning models on fine-grained detection performance are investigated. …”
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Exploring the endogenous effects among car dependency, work arrangement choice, and daily travel using the 2017 NHTS data by Hamidreza Asgari, Xia Jin

“…Data from the 2017 National Household Travel Survey (NHTS) was used to develop a structural equations model (with latent constructs) to examine the endogenous effects between the decision to telework, the degree of car dependency, and the number of daily trips. …”
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Travel behaviour and greenhouse gas emissions during the COVID-19 pandemic: A case study in a university setting by James DeWeese, Léa Ravensbergen, Ahmed El-Geneidy

“…Focusing on a university setting and drawing from a travel survey conducted in Fall 2020 in Montreal, Canada (n = 3358), this study examines modal shifts and quantifies greenhouse gas emissions at three time periods in the year 2020: pre-pandemic, early pandemic, and later pandemic. …”
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An empirical analysis of post-work grocery shopping activity duration using modified accelerated failure time model to differentiate time-dependent and time-independent covariates. by Ke Wang, Xin Ye, Jie Ma

“…Checking on the proportionality assumption indicates that the assumption is not valid in the post-work grocery shopping activity data extracted from the 2017 National Household Travel Survey (NHTS) conducted by the U.S. Department of Transportation (USDOT). …”
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MODELING A SPATIO-TEMPORAL INDIVIDUAL TRAVEL BEHAVIOR USING GEOTAGGED SOCIAL NETWORK DATA: A CASE STUDY OF GREATER CINCINNATI by M. Saeedimoghaddam, C. Kim

“…We evaluated the model accuracy using the travels extracted from the Tweets themselves as well as the travels from household travel survey. The Tweets and survey based travels that start from same tract in the south western parts of the study area is more likely to select same destination compare to the other parts. …”
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