Detecting and understanding urban changes through decomposing the numbers of visitors’ arrivals using human mobility data by Takashi Nicholas Maeda, Narushige Shiode, Chen Zhong, Junichiro Mori, Tetsuo Sakimoto

“…The results showed that EAT-CD is effective in deriving activity patterns, which showed strong correlation with travel survey data. The results also confirmed that EAT-CD detects changes in travel patterns (e.g. start and end of semesters) and land uses (e.g. establishment of new facilities).…”
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Economic Scheduling of Residential Plug-In (Hybrid) Electric Vehicle (PHEV) Charging by Maigha, Mariesa L. Crow

“…National Household Travel Survey (NHTS) database as a basis to analyze typical PHEV energy requirements. …”
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Mobile phones and telecommuting: Effects on trips and tours of Londoners by Grace Uayan Padayhag, Jan-Dirk Schmöcker, Daisuke Fukuda

“…The data used in this study is taken from the London Area Travel Survey 2001, providing us with a large sample size of 87,148 trips. …”
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Modeling of Electric Vehicle Charging Demand and Coincidence of Large-Scale Charging Loads in Different Charging Locations by Ilkka Jokinen, Matti Lehtonen

“…The modeling of the charging loads in this study was based on activity-travel schedules from travel survey data, from which 12773 respondents with 40321 trips were included.…”
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Investigating Commuting Time Patterns of Residents Living in Affordable Housing: A Case Study in Nanjing, China by Jingxian Wu, Min Yang, Soora Rasouli, Long Cheng

“…This study employs a decision tree classifier to examine the commuting time patterns of affordable housing residents, fusing the data from the 2010 Nanjing Household Travel Survey and supplementary data collected through Google maps. …”
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Home telework, travel behavior, and land-use patterns: A path analysis of British single-worker households by João de Abreu e Silva, Patricia C. Melo

“…This work analyzes the effects of home-based teleworking on the number of trips and weekly miles travelled by mode and purpose for one-worker households in Great Britain using data from the National Travel Survey for the period between 2005 and 2012. Two path analysis models are developed, one considering weekly trips and travel distances by mode and the other weekly trips and travel distances by purpose. …”
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Optimal Scheduling of Battery-Swapping Station Loads for Capacity Enhancement of a Distribution System by Walied Alharbi, Abdullah S. Bin Humayd, Praveen R. P., Ahmed Bilal Awan, Anees V. P.

“…Case studies and numerical findings that consider data from the National Household Travel Survey and a 32-bus distribution system are reported and discussed to demonstrate the effectiveness of the proposed model. …”
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Using trip chaining and joint travel as mediating variables to explore the relationships among travel behavior, socio-demographics and urban form by Yu-Jen Chen, Gulsah Akar

“…Using the 2012 Household Travel Survey data for the Cleveland metropolitan area, this study aims to examine the connections between travel behavior by using trip chaining and joint travel as mediating variables of travel distances and controlling for socio-demographics and urban form. …”
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Smart mobility : behavioral data collection and simulation by Padmanabha, Akshay

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An examination of the accuracy of an activity-based travel simulation against smartcard and navigation device data by Hwang, JH, Kim, H, Cho, S, Bellemans, T, Lee, WD, Choi, K, Cheon, SH, Joh, C-H

“…Activity-based travel simulation based on the household travel survey (HTS) can therefore identify inaccuracies in simulated travels by comparing smartcard and navigation device data. …”

Telecommuting and other trips: an English case study by Budnitz, H, Tranos, E, Chapman, L

“…Using the National Travel Survey for England, the travel behaviours of those who identify themselves not as home workers but as working from home at least once a week are compared to other working adults by measuring and modelling the number and purpose of trips within a week's travel diary, independent of distance or mode. …”

Exploration of the contributing factors to the walking and biking travel frequency using multi-level joint models with endogeneity by Mankirat Singh, Wen Cheng, Ranjithsudarshan Gopalakrishnan, Yihua Li, Menglu Cao

“…The present study explored the influential factors to the walking and biking travel frequency based on data obtained from the National Household Travel Survey California add-on survey. The study features some highlights. …”
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How do suburban residents organize their daily lives? A behavioural time–space analysis in Beijing, China by Hongbo Chai, Patrick Witte, Stan Geertman, Dick Ettema

“…This paper compares the changes in time allocation from a time-use perspective, based on two activity-travel survey datasets collected in suburban Beijing in respectively 2007 and 2017. …”
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Variability and seasonality of active transportation in USA: evidence from the 2001 NHTS by Bingham C Raymond, Diez Roux Ana V, Yang Yong

“…</p> <p>Methods</p> <p>This study analyzed monthly variation in active transportation for the US using National Household Travel Survey 2001 data. For each age group of children, adolescents, adults and elderly, logistic regression models were used to identify predictors of the odds of active transportation including gender, race/ethnicity, household income level, geographical region, urbanization level, and month.…”
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How do socio-demographics and built environment affect individual accessibility based on activity space? Evidence from Greater Cleveland, Ohio by Na Chen, Gulsah Akar

“…Using data from the 2012 Northeast Ohio Regional Travel Survey and two opportunity sets (land uses and jobs), we calculate individual accessibility and compare them across three income groups. …”
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Examining the relationships between individual’s time use and activity participations with their health indicators by Yusak O. Susilo, Chengxi Liu

“…Abstract Purpose Using a three-week household activity-travel survey, this paper explores the relationship between individuals’ self-reported physical, mental and social health conditions and their time allocation for different types of in-home and out-of-home time activities. …”
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Transit use for single-parent households: Evidence from Maryland by Sicheng Wang, Yanfeng Xu

“…This study examined the association between public transit use and single parents using 2017 National Household Travel Survey and American Community Survey data for Maryland, United States. …”
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An Octopus Charger-Based Smart Protocol for Battery Electric Vehicle Charging at a Workplace Parking Structure by Edgar Ramos Muñoz, Faryar Jabbari

“…Driving patterns from the National Household Travel Survey were used to perform simulations, to verify and quantify the effectiveness of the proposed protocol. …”
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Impact of Electric Vehicle Charging Synchronization on the Urban Medium Voltage Power Distribution Network of Frederiksberg by Tim Unterluggauer, F. Hipolito, Sergey Klyapovskiy, Peter Bach Andersen

“…These are applied to the municipality of Frederiksberg, Denmark, using data from the Danish national travel survey. Home and workplace charging are mapped to the urban 10 kV medium voltage PDN of Frederiksberg considering different charging behaviors and degrees of synchronization. …”
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How Rail Transit Makes a Difference in People’s Multimodal Travel Behaviours: An Analysis with the XGBoost Method by Lixun Liu, Yujiang Wang, Robin Hickman

“…The data are extracted from the Chongqing Urban Resident Travel Survey from 2014, three years after the new rail transit network was established. …”
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