A5016611136- Urban Transport and Accessibility
- Transportation Planning and Optimization
- Traffic and Road Safety
- Injury Epidemiology and Prevention
- Transportation and Mobility Innovations
- Vehicle emissions and performance
- Smart Parking Systems Research
- Urban and Freight Transport Logistics
- Traffic Prediction and Management Techniques
- Psychological Well-being and Life Satisfaction
- Urban Design and Spatial Analysis
- Impact of Light on Environment and Health
- Energy, Environment, and Transportation Policies
- Digital Transformation in Industry
- Land Use and Ecosystem Services
- Urban Green Space and Health
- Infrastructure Resilience and Vulnerability Analysis
- Economic and Technological Systems Analysis
- Migration, Aging, and Tourism Studies
- Human-Automation Interaction and Safety
- Noise Effects and Management
Chulalongkorn University
2022-2023
University of Malaya
2021-2022
University of Technology Malaysia
2016-2021
Islamic Azad University Kerman
2017
Prediction of work Travel mode choice is one the most important parts travel demand forecasting. Planners can achieve sustainability goals by accurately forecasting how people will get to and from work. In prediction selection, machine learning methods are commonly employed. To fit a machine-learning model various challenges, hyperparameters must be tweaked. Choosing optimal hyperparameter configuration for models has an immediate effect on performance model. this paper, optimizing common...
More than 8000 pedestrians were killed due to road crashes in Australia over the last 30 years. Pedestrians are assumed be most vulnerable users of roads. This susceptibility conflicts with sustainable transportation objectives. It is critical know causes pedestrian injuries order enhance safety these users. To achieve this, traditional statistical models used frequently. However, they have been criticized for their inflexibility handling outliers and missing or noisy data, strict...
Over the past three decades, more than 8000 pedestrians have been killed in Australia due to vehicular crashes. There is a general assumption that are often most vulnerable Sustainable transportation goals at odds with high risk of pedestrian fatalities and injuries car It imperative reasons for be identified if we improve safety this group road users who particularly susceptible. These results were obtained mostly through use well-established statistical approaches. A lack flexibility...
The investigation of travel mode choice is an essential task in transport planning and policymaking for predicting demands. Typically, datasets are imbalanced learning from such challenging. This study deals with data by developing algorithm (SVMAK) based on a support vector machine model the theory adjusting kernel scaling. function’s was evaluated applying likelihood-ratio chi-square weighting measures. empirical assessment performed 2017 National Household Travel Survey–California...
In the United States, several studies have looked at association between automobile ownership and sociodemographic factors built environment qualities, but few household travel characteristics. Their interactions nonlinear linkages are frequently overlooked in existing studies. Utilizing 2017 US National Household Travel Survey, authors employed an extreme gradient boosting tree model to evaluate interaction impacts of characteristics on vehicle three states States (California, Missouri,...
Electric vehicles (EVs) have been progressing rapidly in urban transport systems given their potential reducing emissions and energy consumptions. The Shared Free-Floating Scooter (SFFES) is an emerging EV publicized to address the first-/last-mile problem travel. It also offers alternatives for short-distance journeys using cars or ride-hailing services. However, very few SFFES studies carried out developing countries university populations. Currently, many universities are facing increased...
Predicting household vehicle ownership (HVO) is a crucial component of travel demand forecasting. Furthermore, reliable HVO prediction critical for achieving sustainable transportation development objectives in an era rapid urbanization. This research predicted the using support vector machine (SVM) model optimized Bayesian Optimization (BO) algorithm. BO used to determine optimal SVM parameter values. hybrid was applied two datasets derived from US National Household Travel Survey dataset....
This present study developed two predictive and associative Bayesian network models to forecast the tolerable travel time of university students campus. considered built environment experiences during their early life-course as main predictors this study. The were hybridized with Pearson chi-square test select most relevant variables predict time. Two developed. first model was applied only environment, while second all that identified using tests. results showed inclined choose 0–20 min....
Several previous studies examined the variables of public-transit-related walking and privately owned vehicles (POVs) to go work. However, most neglect possible non-linear relationships between these other potential variables. Using 2017 U.S. National Household Travel Survey, we employ Bayesian Network algorithm evaluate interaction impacts health condition attributes, work trip individual household attributes on reach public transit stations in California. The authors found that time is...
Now more than ever, the health and economic benefits of active transportation (AT) are evident several planning efforts programs particularly targeted at improving options for different populations, such as students seniors. Administrative employees universities received less attention in literature other population groups.This spends a lot time doing sedentary activities behaviors during their working time. Thus, present study used C5 decision tree to examine usage university employees’ AT...
Walking is a sustainable commute mode, and walkability considered an essential sign of mobility. To date, many assessment tools have been developed to assess the conditions across world. However, there paucity comprehensive methods current based on walking needs ensure all requirements are included. Thus, researchers experts unable select most tool systematically. The present study attempts develop system evaluate quality existing tools. instrument focuses factors related frequently observed...