-
221
Impacts of Automated Buses on Travel Mode Preference for Different Income Groups and Density Areas
Published 2023“…The study analyzes travel surveys and then simulates the impact of ABs on travel-to-work mode choices. …”
Get full text
Thesis -
222
Multiagent-Based Simulation of Temporal-Spatial Characteristics of Activity-Travel Patterns Using Interactive Reinforcement Learning
Published 2015“…Meanwhile, the agents used in the algorithm are initialized from typical activity patterns extracted from the travel survey diary data of Shangyu city in China. In the simulation, both macroscopic activity-travel characteristics such as traffic flow spatial-temporal distribution and microscopic characteristics such as activity-travel schedules of each agent are obtained. …”
Get full text
Get full text
Article -
223
The impact of domestic electric vehicle charging on electricity networks
Published 2019“…</p> <p>A large multi-regional travel survey dataset is used to model vehicle use and charging spatially heterogeneously, and a selection of representative network models are used to assess the impact of charging on system operation. …”
Thesis -
224
On the ease of being green: An investigation of the inconvenience of electric vehicle charging
Published 2019“…A heuristic approach to deriving idealised charging schedules from over 39,000 week-long travel diaries from the UK National Travel Survey is presented in order to quantify the expected convenience parity — the point at which EV charging and ICEV fuelling are of comparable convenience — for combinations of battery capacity, charger power and access to charging at different locations (home, workplace and public destinations). …”
Journal article -
225
Mapping and predicting the potential spread of malaria in Southeast Asia and Bangladesh to better inform targeting of malaria control and elimination interventions
Published 2024“…A standardised short travel survey was then used to interview patients with a toolkit and software developed to analyse it and inform malaria elimination strategies of malaria control programmes.…”
Thesis -
226
Electric vehicles: Battery capacity, charger power, access to charging and the impacts on distribution networks
Published 2020“…In this paper, statistical analysis of a large travel survey dataset is carried out to support the hypothesis that car use is likely to vary according to population demographics. …”
Journal article -
227
Sistem "Inner Ring Road" di Kuala Lumpur dan kesannya atas hartanah /
-
228
Uber Movement Data: A Proxy for Average One-way Commuting Times by Car
Published 2020-03-01“…We propose a new approach to estimate the average car-based commuting times through combining commuting times from Uber Movement data and commuting flows from travel survey data. To further demonstrate the applicability of the commuting times estimated by Uber movement data, this study further measures the spatial accessibility of jobs by car by aggregating place-to-place commuting times to census tracts. …”
Get full text
Article -
229
Classification of Imbalanced Travel Mode Choice to Work Data Using Adjustable SVM Model
Published 2021-12-01“…The empirical assessment was performed on the 2017 National Household Travel Survey–California dataset. The performance of the SVM<sub>AK</sub> model was compared with several other models, including neural networks, XGBoost, Bayesian Network, standard support vector machine model, and some SVM-based models that were previously developed to handle the imbalanced datasets. …”
Get full text
Article -
230
Gender Differences in Environmental Correlates of Cycling Activity among Older Urban Adults
Published 2021-12-01“…The data were derived from a household travel survey in 2012 and covered thirty-three urban neighborhoods in Zhongshan. …”
Get full text
Article -
231
Exploratory analysis of recent trends in school travel mode choices in the U.S.
Published 2020-07-01“…The study explores the recent trends in school travel using the 2017 National Household Travel Survey data. The study also investigates the exogenous factors affecting the school travel mode choice using random parameters multinomial logit (RPMNL) model. …”
Get full text
Article -
232
Household income, active travel, and their interacting impact on body mass index in a sample of urban Canadians: a Bayesian spatial analysis
Published 2019-02-01“…Methods Bayesian hierarchical models with spatial random effects were developed using travel survey data from Saskatoon, Canada (N = 4625). …”
Get full text
Article -
233
Pkw-Nutzung im Wandel des Geschlechterverhältnisses – Trends über drei Jahrzehnte
Published 2016-08-01“…Moreover, gender-specific differences in car usage are pointed out and their root causes are analysed based on German Travel Survey data. This is achieved by tracing the development of gender-specific car usage between 1976 and 2008 and interpreting the trends identified in a wider context of societal changes. …”
Get full text
Article -
234
From individual to collective behaviours: exploring population heterogeneity of human mobility based on social media data
Published 2019-11-01“…We validate against the data from a household travel survey and find that despite good agreement of trip distances (one-day and long-distance trips), we also find some differences in home location and the frequency of international trips, possibly due to population bias and behaviour distortion in Twitter data. …”
Get full text
Article -
235
Difference in travel behavior between immigrants in the u.s. and us born residents: The immigrant effect for car-sharing, ride-sharing, and bike-sharing services
Published 2021-03-01“…To answer these questions, we used data from the 2017 National Household Travel Survey and employed Zero-Inflated Negative Binomial regression models to understand the specific behavior of immigrant travelers.The models found the “immigrant effect” only for car-sharing services and bike-sharing programs; that is, relative to U.S. born residents, immigrants in the U.S. use car sharing and bike-sharing services more frequently, while we found an insignificant association in ride-sharing apps use. …”
Get full text
Article -
236
Agent-Based Simulation of Long-Distance Travel: Strategies to Reduce CO2 Emissions from Passenger Aviation
Published 2021-06-01“…The travel demand model was estimated and calibrated with the German Household Travel Survey, including socio-demographic characteristics and area type. …”
Get full text
Article -
237
On Hyperparameter Optimization of Machine Learning Methods Using a Bayesian Optimization Algorithm to Predict Work Travel Mode Choice
Published 2023-01-01“…These models were developed and optimized using two datasets from the 2017 National Household Travel Survey. Using several criteria, including average accuracy (%), average area under the receiver operating characteristics, and a simple ranking system, the performance of the optimized models was investigated. …”
Get full text
Article -
238
The future of telecommuting post COVID-19 pandemic
Published 2022-12-01“…This study utilizes data from a stated preference component of a travel survey conducted in the Central Okanagan region of British Columbia. …”
Get full text
Article -
239
Built environment bikeability as a predictor of cycling frequency: Lessons from Barcelona
Published 2022-12-01“…We then use actual travel behavior data extracted from a local representative travel survey to test the reliability of the index in predicting daily bike use. …”
Get full text
Article -
240
Examining interaction effects among land-use policies to reduce household vehicle travel: An exploratory analysis
Published 2019-11-01“…Employing ordinary least squares regression analysis using a dataset created for the Austin metropolitan statistical area (MSA) (using 2006 Austin Travel Survey data), we examine the impact of land use on household vehicle travel. …”
Get full text
Article