A5020356136- Urban Transport and Accessibility
- Transportation Planning and Optimization
- Transportation and Mobility Innovations
- Human Mobility and Location-Based Analysis
- Human-Automation Interaction and Safety
- Traffic and Road Safety
- Behavioral Health and Interventions
- Economic and Environmental Valuation
- Older Adults Driving Studies
- Sharing Economy and Platforms
- Electric Vehicles and Infrastructure
- Urban and Freight Transport Logistics
- Vehicular Ad Hoc Networks (VANETs)
- Energy, Environment, and Transportation Policies
- Traffic Prediction and Management Techniques
- Technology Adoption and User Behaviour
- Sentiment Analysis and Opinion Mining
- Social and Intergroup Psychology
- Business Strategy and Innovation
- Innovation Diffusion and Forecasting
- Food Supply Chain Traceability
- Data-Driven Disease Surveillance
- Civil and Geotechnical Engineering Research
- Diverse Aspects of Tourism Research
- Terrorism, Counterterrorism, and Political Violence
Jiangsu University
2015-2024
University of Wisconsin–Madison
2019
Shanghai Jiao Tong University
2014-2015
Chongqing Technology and Business University
2011-2013
Shijiazhuang University
2013
Autonomous vehicle (AV) is an innovative transport option that has the potential to disrupt all industries tied transportation systems. The advent of AV technology will bring a novel on-demand mobility pattern such as shared autonomous (SAV). To promote technology, it important understand which factors influence travelers’ intention use AVs and SAVs. This paper collected literature from databases Scopus, Web Science ScienceDirect, made systematic review. study aims explore determinants...
Autonomous vehicles (AVs) may have a transformative influence on transportation systems. AV use is expected to reduce crash, transport costs, and land use. However, the net effects of autonomous vehicle are unknown because there no fully-autonomous in reality. The simulation systems indispensable be built up not only for cost but also obtaining massive data. An agent-based capable simulating entities complex system, such as system. Considering potential models complement existing difficulty...
Online car-hailing travel is an increasingly popular mode of urban transport. A fundamental understanding the relationship between built environment and online essential for developing corresponding traffic strategy addressing sustainable planning design. However, varying impact on in spatial dimension has not been sufficiently investigated. This paper aims to fill this gap by using geographically weighted regression (GWR) check heterogeneity likely influence. The result shows that GWR model...
The public’s acceptance of independent autonomous vehicles and cooperative vehicle-highway is studied by combining the structural equation model an artificial neural network. model’s output variables are used as input network, which compensates for linear problem ensures accuracy In order to summarize influencing factors acceptance, Unified Theory Acceptance Use Technology was expanded adding two variables: risk expectation consumer innovation. results show that social influence strongest...
Travelers' mode choice in a "car/park and ride (P&R)" context under smartphone-based multimodal information has not been fully explored. This study aims to investigate the influence of social network on travelers' for commuting, using stated preference data from Shanghai. A hybrid model is developed identify influential factors behavior, some latent attitudinal variables are also considered framework. Our results highlight importance incorporating into travel modeling. Specifically, subway...
Congestion in intercity corridors of metropolitan area has been increasing steadily. To alleviate congestion, many major investment projects, such as the high speed railway were proposed by agency. evaluate adequacy and efficiency these travel behavior should be analyzed area. The paper constructed a Multiple Indicators Causes (MIMIC) model according to an expanded theory planned (TPB) study choosing from choice set traditional train, coach demographic psychological factors. Through...
At present, fresh food logistics transportation in China is still the primary stage of development, costs are rising, and cold chain path design unreasonable. Therefore, optimization prediction route has become focus research this field. Based on principle genetic algorithm, paper designs an improved algorithm to solve problem urban path. In order optimize distribution minimize total cost, a transport model established. Through simulation coding calculation model, influence explored reduce...
Travel to and from school can have social, economic, environmental implications for students their parents. Therefore, understanding travel mode choice behavior is essential find policy-oriented approaches optimizing share. Recent research suggests that psychological factors of parents play a significant role in the Multiple Indicators Causes (MIMIC) model has been used test effect constructs on behavior. However, little systematic framework behavioral theory organize these investigate...
School buses could alleviate the emissions associated with school travel. China is devoted to promoting its bus service, leaving parents in a dynamic process of change from original travel mode using service. This study analyzes parents’ switching intentions regarding and decomposes dimensions certain critical factors by applying Push–Pull–Mooring model. We conducted an online questionnaire survey 463 parents. The measurement model result showed satisfying prediction power, superior that...