Aoyong Li
Biographic Data
| ID | 6580117 |
|---|---|
| NAME | Aoyong Li |
| GIVEN NAMES | Aoyong |
| FAMILY NAME | Li |
| SIGNATURE | LI A |
| AFFILIATIONS | ETH Zurich |
| ORCID | 0000-0001-8032-5881 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 23 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 2 |
Investigation on the joint travel behavior in bike sharing systems during the Covid-19 pandemic: Insights from New York City
Unraveling the mode substitution of dockless bike-sharing systems and its determinants: A trip level data-driven interpretation
Understanding the mode substitution of shared micro-mobility systems is essential for assessing their societal and environmental impact and developing improvement planning instruments. This study carries out a fine-grained analysis of the mode substitution of dockless bike sharing (DLBS) in relation to other transport modes at the trip level, leveraging multi-modal route planning techniques , transaction data of bike-sharing, and travel behavior …
Bicycle safety outside the crosswalks: Investigating cyclists' risky street-crossing behavior and its relationship with built environment
Comparison of station-based and free-floating bikeshare systems as feeder modes to the metro
How did micro-mobility change in response to Covid-19 pandemic? A case study based on spatial-temporal-semantic analytics
Cities worldwide adopted lockdown policies in response to the outbreak of coronavirus disease 2019 (COVID-19), significantly influencing people's travel behavior. In particular, micro-mobility, an emerging mode of urban transport, is profoundly shaped by this crisis. However, there is limited research devoted to understanding the rapidly evolving trip patterns of micro-mobility in response to COVID-19. To fill this gap, we analyze the changes in …
An empirical analysis of dockless bike-sharing utilization and its explanatory factors: Case study from Shanghai, China
Revealing dockless bike-sharing utilization pattern and its explanatory factors are essential for urban planners and operators to improve the utilization and turnover of public bikes. This study explores the dockless bike-sharing utilization pattern from the perspective of bike using GPS-based bike origin-destination data collected in Shanghai, China. In this paper, utilization patterns are captured by decoupling several spatially cohesive region…
An approach to imputing destination activities for inclusion in measures of bicycle accessibility
An empirical analysis of dockless bike-sharing utilization and its explanatory factors: Case study from Shanghai, China
Revealing dockless bike-sharing utilization pattern and its explanatory factors are essential for urban planners and operators to improve the utilization and turnover of public bikes. This study explores the dockless bike-sharing utilization pattern from the perspective of bike using GPS-based bike origin-destination data collected in Shanghai, China. In this paper, utilization patterns are captured by decoupling several spatially cohesive region…
Comparison of station-based and free-floating bikeshare systems as feeder modes to the metro
Investigation on the joint travel behavior in bike sharing systems during the Covid-19 pandemic: Insights from New York City
An approach to imputing destination activities for inclusion in measures of bicycle accessibility
Bicycle safety outside the crosswalks: Investigating cyclists' risky street-crossing behavior and its relationship with built environment
An approach to imputing destination activities for inclusion in measures of bicycle accessibility
An empirical analysis of dockless bike-sharing utilization and its explanatory factors: Case study from Shanghai, China
Revealing dockless bike-sharing utilization pattern and its explanatory factors are essential for urban planners and operators to improve the utilization and turnover of public bikes. This study explores the dockless bike-sharing utilization pattern from the perspective of bike using GPS-based bike origin-destination data collected in Shanghai, China. In this paper, utilization patterns are captured by decoupling several spatially cohesive region…
How did micro-mobility change in response to Covid-19 pandemic? A case study based on spatial-temporal-semantic analytics
Cities worldwide adopted lockdown policies in response to the outbreak of coronavirus disease 2019 (COVID-19), significantly influencing people's travel behavior. In particular, micro-mobility, an emerging mode of urban transport, is profoundly shaped by this crisis. However, there is limited research devoted to understanding the rapidly evolving trip patterns of micro-mobility in response to COVID-19. To fill this gap, we analyze the changes in …
Unraveling the mode substitution of dockless bike-sharing systems and its determinants: A trip level data-driven interpretation
Understanding the mode substitution of shared micro-mobility systems is essential for assessing their societal and environmental impact and developing improvement planning instruments. This study carries out a fine-grained analysis of the mode substitution of dockless bike sharing (DLBS) in relation to other transport modes at the trip level, leveraging multi-modal route planning techniques , transaction data of bike-sharing, and travel behavior …
Bicycle safety outside the crosswalks: Investigating cyclists' risky street-crossing behavior and its relationship with built environment
Comparison of station-based and free-floating bikeshare systems as feeder modes to the metro
Investigation on the joint travel behavior in bike sharing systems during the Covid-19 pandemic: Insights from New York City
Engineering (7 works) · Transport engineering (7 works) · Urban Transport and Accessibility (7 works) · Computer Science (6 works) · Human Mobility and Location-Based Analysis (5 works) · Geography (4 works) · TRIPS architecture (4 works) · Business (3 works) · Medicine (3 works) · Bike sharing (2 works)