A5049386460- Urban Transport and Accessibility
- Transportation Planning and Optimization
- Energy, Environment, and Transportation Policies
- Environmental Impact and Sustainability
- Human Mobility and Location-Based Analysis
- Evacuation and Crowd Dynamics
- Traffic and Road Safety
- Traffic Prediction and Management Techniques
- Vehicle emissions and performance
- Impact of Light on Environment and Health
- Migration, Aging, and Tourism Studies
- Electric Vehicles and Infrastructure
- Air Quality Monitoring and Forecasting
- Transportation and Mobility Innovations
- Injury Epidemiology and Prevention
- Climate Change and Health Impacts
- Aviation Industry Analysis and Trends
- COVID-19 impact on air quality
- Urban and Freight Transport Logistics
- Maritime Ports and Logistics
- Noise Effects and Management
- Hearing Loss and Rehabilitation
- Land Use and Ecosystem Services
- Psychological Well-being and Life Satisfaction
- Traffic control and management
University of Hong Kong
2018-2024
Hong Kong Jockey Club
2020-2021
Traffic noise is a growing threat to the urban population. Prolonged exposure traffic has been linked negative health consequences such as annoyance, sleep disturbances and cardiovascular diseases. While electric vehicles are known have lower profiles, impacts of mobility on noise, especially for electrified heavy-duty vehicles, not thoroughly examined. This study aims examine both light-duty buses levels in highly urbanized city. along source line pedestrian network was first estimated...
Transport stress is a pervasive phenomenon in big cities, and can lead to various negative impacts on health well-being. However, the associated stressors have not been clearly understood. This study proposes people-environment framework, which incorporates personal stressors, environmental travel impedance capture "total experience" of passengers. In context Hong Kong, an online questionnaire survey among Mass Transit Railway (MTR) passengers was conducted 2021; total 629 responses were...
COVID-19 reaffirms the vital role of superspreaders in a pandemic. We propose to broaden research on through integrating human mobility data and geographical factors identify superspreading environment. Six types popular public facilities were selected: bars, shopping centres, karaoke/cinemas, mega malls, libraries, sports centres. A historical dataset was used calculate generalized activity space space-time prism individuals during pre-pandemic period. Analysis geographic interconnections...
Abstract With an increasingly urbanized world, there is urgent need to examine how cities may evolve and achieve sustainability. This paper systematically looks at the Greater Bay Area (GBA) Poyang Lake Region (PLR) in China spatial processes for insights into urbanization, balancing environmental socio‐economic dimensions. A total of 226 805 cells are analyzed unveil relationship between sustainability changes 2015–2019 period urban form indicators, considering sociodemographic variables,...
Electric mobility has the potential to spearhead transport decarbonisation. While there is a vast literature on benefits of electric vehicles (EVs) towards sustainability and national policies EV adoption, regional local polices are often overlooked. Hence, this paper aims capture lessons learned from two bay areas, namely Guangdong-Hong Kong-Macau Greater Bay Area (GBA) in China San Francisco (SFBA) United States. These regions pioneers within largest economies world. An integrative...
In this paper, a holistic strategy of the “Five Transformations” is introduced to offer comprehensive and synergetic theory tackle various daunting challenges faced by transport sector ultimately pave way sustainable transport. The Five Transformations span across city development, economy, vehicle technology, modal-split lifestyles at geographical scales. Building on current literature empirical evidence, paper advocates for fundamental changes in all aspects society beyond transportation....
Based on the people-environment conceptual framework, this paper measures level of transport stress experienced by bus commuters and examines its relationship with a wide range environmental personal stressors, as well different responses. A total 28 9 4 time-related stressors 6 stated responses are examined. The data were collected through large-scale online questionnaire survey among major franchised company in Hong Kong (n = 5,908). factor analysis structural equation model (SEM)...
Estimated time of arrival (ETA) is essential to enable various intelligent transportation services and reduce passenger waiting time. Estimating the public transport in a highly dynamic uncertain system could be challenging. Many indirect factors beyond remaining travel distance dramatically deviate from original schedule. Existing distance-based estimation methods disregarding those usually result inaccurate estimations. In this paper, we propose new deep learning model, called Deep Encoder...
Addressing fatalities on road is a major concern in most countries the world. South-East Asian are no exception. In Indonesia, three persons die every hour. Understanding where and how traffic crashes happen imperative before efficient countermeasures can be devised implemented. this paper, tools—hot spots, hot zones clusters—are used to identify sections of two main highways Province Aceh that require urgent action. Many have been developed address problem black sites (hot spots). Examples...
Introduction This study sets out to provide scientific evidence on the spatial risk for formation of a superspreading environment. Methods Focusing six common types urban facilities (bars, cinemas, gyms and fitness centers, places worship, public libraries shopping malls), it first tests whether visitors' mobility characteristics differ systematically different facility at locations. The collects detailed human other locational data in Chicago, Hong Kong, London, São Paulo, Seoul Zurich....
Bus bunching can deteriorate bus service quality and jeopardise the effectiveness of public transit in promoting sustainable urban transport. This study applies artificial intelligence (AI) techniques visual analytics to examine spatiotemporal characteristics from a stop-based perspective. A total 25 405 real-time traffic images were extracted analysed 11 stops Hong Kong August 2019 (7am–7pm, Tuesdays–Thursdays). An image classification model was developed with an overall accuracy 85%. Three...
Despite the progress made in advancing road safety first Decade of Road Safety, global discrepancies fatalities remain large and challenge transport defatalization is formidable.