Table 1 Summary and outlook of five research opportunities
From: The landscape, trends, challenges, and opportunities of sustainable mobility and transport
Post-pandemic travel behaviour | X-minute accessibility | Resilient transport network | Demand responsive transport | Emerging mobility technologies | |
|---|---|---|---|---|---|
Research topics | Analyze and compare changes in travel patterns | Optimize infrastructure layout to improve service accessibility | Assess, plan, and optimize network resilience | Demand modeling, matching and route planning for DRT travel | Willingness survey, impact analysis, technology optimization, and travel management |
Mainstream methods | Discrete choice models, statistical analysis, machine learning algorithms, etc. | Simulation tools, reinforcement learning, etc. | Indicator-based factor analysis, graph theory, simulation analysis, etc. | Deep learning, operational research algorithms, gaming theory, etc. | Travel survey, traffic simulation, reinforcement learning, etc. |
Limitations | Hard to analyze the unified scaling law under the influence of multiple factors | Failure to integrate people’s travel preferences, prone to causing urban segregation issues | Failure to consider social factors and the compounded effects of multiple disasters | Low accessibility, service quality, and personalization | Low user credibility; inherent limitations of all technologies |
Opportunities | Influence factor analysis, mechanism analysis, scenario migration, and optimizing freight efficiency | Accessibility and segregation balance modeling; active-mobility; integrating innovative technologies | Collaborative optimization of cross-city transport network resilience, and integrating emerging technologies | Diversified fleet management, and improve service flexibility and reliability at special times, areas, and groups | Human-machine interaction mechanism, air traffic management and related technology development |
