Yuan Liao
Biographic Data
| ID | 4024436 |
|---|---|
| NAME | Yuan Liao |
| GIVEN NAMES | Yuan |
| FAMILY NAME | Liao |
| SIGNATURE | LIAO Y |
| AFFILIATIONS | Chalmers University of Technology |
| ORCID | 0000-0002-6982-1654 |
| VERIFIED | Yes |
| TOTAL WORKS | 16 |
| TOTAL CITATIONS | 8 |
| AUTHOR COUNT | 16 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
How does parking regulation policy affect e-scooter sharing systems
Assessment design through co-design
Assessment design in higher education is often approached with a focus on assessment tasks and the processes of designing them, with instructors making decisions in isolation. Drawing on assessment design, co-design and practice theory as a conceptual framing, we recast assessment design as a relational, situated practice and examine co-design as a way to come to practise assessment differently. In a business school, 102 stakeholders participated…
Inference for Heterogeneous Effects using Low-Rank Estimation of Factor Slopes
We study a panel data model with heterogeneous effects, allowing slopes to vary across individuals and time. To reduce dimensionality, we assume these slopes follow a factor structure, so slope matrices can be estimated via low-rank regularized regression. We propose a multi-step estimation procedure incorporating sample splitting and partialing-out to enable valid inference after penalized estimation. We establish the asymptotic normality of the…
Mobile phone application data for activity plan generation
Activity-based models in transport are crucial for providing a comprehensive and realistic understanding of individuals’ activity-travel patterns, improving demand forecasting, policy analysis, and land use and transportation planning. While travel surveys have long served to develop activity-based models with complete activity-travel plans, they are often costly to collect and have small sample sizes. Mobile phone application data, one example o…
Socio-spatial segregation and human mobility
Socio-spatial segregation is the physical separation of different social, economic, or demographic groups within a geographic space, often resulting in unequal access to resources, services, and opportunities. The literature has traditionally focused on residential segregation , examining how individuals' residential locations are distributed differently across neighborhoods based on various social attributes, e.g., race, ethnicity, and income. H…
Big-data-driven approach and scalable analysis on environmental sustainability of shared micromobility from trip to city level analysis
Shared e-scooters (SES) have recently gained popularity, but their environmental sustainability remains debatable. This study develops a data-driven and scalable method based on big data and data fusion from multiple sources to comprehensively analyze substitutions and the environmental impacts of SES from trip to city level analysis. Field trip transaction data in three major Swedish cities (Stockholm, Gothenburg, and Malmö) are leveraged for em…
Social isolation profiles and conditional process analysis among postoperative enterostomy patients with colorectal cancer
Clinical staff, community personnel and family members should pay attention to the potential differences in social isolation experienced by patients. Suitable psychological strategies should be employed to enhance resilience, promote posttraumatic growth, for improving the patients' mental health levels and help them return to society
Stigma and psychological health in psoriasis patients based on the dual-factor model of mental health
Stigma in patients with psoriasis can directly impact their mental health and can also influence it indirectly through social appearance anxiety and alexithymia. Both social appearance anxiety and alexithymia serve as mediators in the relationship between stigma and mental health in these patients
Feasibility of estimating travel demand using geolocations of social media data
Travel demand estimation, as represented by an origin–destination (OD) matrix, is essential for urban planning and management. Compared to data typically used in travel demand estimation, the key strengths of social media data are that they are low-cost, abundant, available in real-time, and free of geographical partition. However, the data also have significant limitations: population and behavioural biases, and lack of important information suc…
Feasible generalized least squares for panel data with cross-sectional and serial correlations
Traffic Crash Characteristics in Shenzhen, China from 2014 to 2016
Road traffic crashes cause fatalities and injuries of both drivers/passengers in vehicles and pedestrians outside, thus challenge public health especially in big cities in developing countries like China. Previous efforts mainly focus on a specific crash type or causation to examine the crash characteristics in China while lacking the characteristics of various crash types, factors, and the interplay between them. This study investigated the cras…
Distribution and Potential Sources of OCPs and PAHs in Waters from the Danshui River Basin in Yichang, China
To investigate the concentrations, spatial distribution, potential sources and mass fluxes of organochlorine pesticides (OCPs) and polycyclic aromatic hydrocarbons (PAHs) in waters from the Danshui River Basin, a total of 20 water samples were collected and analyzed from a karstic river in Western Hubei of Central China. The average concentrations of total OCPs and PAHs in the river water were 4719 pg·L -1 and 26.2 ng·L -1 , respectively. The cha…
Ride-sourcing compared to its public-transit alternative using big trip data
Ride-sourcing risks increasing GHG emissions by replacing public transit (PT) for some trips therefore, understanding the relation of ride-sourcing to PT in urban mobility is crucial. This study explores the competition between ride-sourcing and PT through the lens of big data analysis. This research uses 4.3 million ride-sourcing trip records collected from Chengdu, China over a month, dividing these into two categories, transit-competing (48.2%…
Cultural Intelligence Measure
To date, two groups of scholars, led by Soon Ang and David Thomas, have developed two theoretical models and corresponding measures of cultural intelligence. Ang and colleagues theorized and measured four domains—metacognitive, cognitive, motivational, and behavioral—and relied on a single‐method twenty‐item self‐report survey. This scale is easy to administrate and provides an easy way to compare results across cultures. Thomas and colleagues th…
Power Enhancement in High-Dimensional Cross-Sectional Tests
0 against sparse alternatives where the null hypothesis is violated only by a couple of components. Existing tests based on quadratic forms such as the Wald statistic often suffer from low powers due to the accumulation of errors in estimating high-dimensional parameters. More powerful tests for sparse alternatives such as thresholding and extreme-value tests, on the other hand, require either stringent conditions or bootstrap to derive the null …
The Dynamics of Face Loss Following Interpersonal Harm for Chinese and Americans
Face concerns arise in any encounter where one's credibility as a social actor is questioned by the flow of interpersonal exchanges. Being the target of another's harmful acts raises the question of one's deservingness for that harm, thereby bringing one's face into question. The present study tests whether Hong Kong Chinese are more sensitive to the consequent loss of their own face than are Americans, when targeted during interpersonal encounte…
Ride-sourcing compared to its public-transit alternative using big trip data
Ride-sourcing risks increasing GHG emissions by replacing public transit (PT) for some trips therefore, understanding the relation of ride-sourcing to PT in urban mobility is crucial. This study explores the competition between ride-sourcing and PT through the lens of big data analysis. This research uses 4.3 million ride-sourcing trip records collected from Chengdu, China over a month, dividing these into two categories, transit-competing (48.2%…
The Dynamics of Face Loss Following Interpersonal Harm for Chinese and Americans
Face concerns arise in any encounter where one's credibility as a social actor is questioned by the flow of interpersonal exchanges. Being the target of another's harmful acts raises the question of one's deservingness for that harm, thereby bringing one's face into question. The present study tests whether Hong Kong Chinese are more sensitive to the consequent loss of their own face than are Americans, when targeted during interpersonal encounte…
The Dynamics of Face Loss Following Interpersonal Harm for Chinese and Americans
Face concerns arise in any encounter where one's credibility as a social actor is questioned by the flow of interpersonal exchanges. Being the target of another's harmful acts raises the question of one's deservingness for that harm, thereby bringing one's face into question. The present study tests whether Hong Kong Chinese are more sensitive to the consequent loss of their own face than are Americans, when targeted during interpersonal encounte…
Cultural Intelligence Measure
To date, two groups of scholars, led by Soon Ang and David Thomas, have developed two theoretical models and corresponding measures of cultural intelligence. Ang and colleagues theorized and measured four domains—metacognitive, cognitive, motivational, and behavioral—and relied on a single‐method twenty‐item self‐report survey. This scale is easy to administrate and provides an easy way to compare results across cultures. Thomas and colleagues th…
Power Enhancement in High-Dimensional Cross-Sectional Tests
0 against sparse alternatives where the null hypothesis is violated only by a couple of components. Existing tests based on quadratic forms such as the Wald statistic often suffer from low powers due to the accumulation of errors in estimating high-dimensional parameters. More powerful tests for sparse alternatives such as thresholding and extreme-value tests, on the other hand, require either stringent conditions or bootstrap to derive the null …
Feasible generalized least squares for panel data with cross-sectional and serial correlations
Traffic Crash Characteristics in Shenzhen, China from 2014 to 2016
Road traffic crashes cause fatalities and injuries of both drivers/passengers in vehicles and pedestrians outside, thus challenge public health especially in big cities in developing countries like China. Previous efforts mainly focus on a specific crash type or causation to examine the crash characteristics in China while lacking the characteristics of various crash types, factors, and the interplay between them. This study investigated the cras…
Distribution and Potential Sources of OCPs and PAHs in Waters from the Danshui River Basin in Yichang, China
To investigate the concentrations, spatial distribution, potential sources and mass fluxes of organochlorine pesticides (OCPs) and polycyclic aromatic hydrocarbons (PAHs) in waters from the Danshui River Basin, a total of 20 water samples were collected and analyzed from a karstic river in Western Hubei of Central China. The average concentrations of total OCPs and PAHs in the river water were 4719 pg·L -1 and 26.2 ng·L -1 , respectively. The cha…
Ride-sourcing compared to its public-transit alternative using big trip data
Ride-sourcing risks increasing GHG emissions by replacing public transit (PT) for some trips therefore, understanding the relation of ride-sourcing to PT in urban mobility is crucial. This study explores the competition between ride-sourcing and PT through the lens of big data analysis. This research uses 4.3 million ride-sourcing trip records collected from Chengdu, China over a month, dividing these into two categories, transit-competing (48.2%…
Feasibility of estimating travel demand using geolocations of social media data
Travel demand estimation, as represented by an origin–destination (OD) matrix, is essential for urban planning and management. Compared to data typically used in travel demand estimation, the key strengths of social media data are that they are low-cost, abundant, available in real-time, and free of geographical partition. However, the data also have significant limitations: population and behavioural biases, and lack of important information suc…
Big-data-driven approach and scalable analysis on environmental sustainability of shared micromobility from trip to city level analysis
Shared e-scooters (SES) have recently gained popularity, but their environmental sustainability remains debatable. This study develops a data-driven and scalable method based on big data and data fusion from multiple sources to comprehensively analyze substitutions and the environmental impacts of SES from trip to city level analysis. Field trip transaction data in three major Swedish cities (Stockholm, Gothenburg, and Malmö) are leveraged for em…
Social isolation profiles and conditional process analysis among postoperative enterostomy patients with colorectal cancer
Clinical staff, community personnel and family members should pay attention to the potential differences in social isolation experienced by patients. Suitable psychological strategies should be employed to enhance resilience, promote posttraumatic growth, for improving the patients' mental health levels and help them return to society
Stigma and psychological health in psoriasis patients based on the dual-factor model of mental health
Stigma in patients with psoriasis can directly impact their mental health and can also influence it indirectly through social appearance anxiety and alexithymia. Both social appearance anxiety and alexithymia serve as mediators in the relationship between stigma and mental health in these patients
Mobile phone application data for activity plan generation
Activity-based models in transport are crucial for providing a comprehensive and realistic understanding of individuals’ activity-travel patterns, improving demand forecasting, policy analysis, and land use and transportation planning. While travel surveys have long served to develop activity-based models with complete activity-travel plans, they are often costly to collect and have small sample sizes. Mobile phone application data, one example o…
Socio-spatial segregation and human mobility
Socio-spatial segregation is the physical separation of different social, economic, or demographic groups within a geographic space, often resulting in unequal access to resources, services, and opportunities. The literature has traditionally focused on residential segregation , examining how individuals' residential locations are distributed differently across neighborhoods based on various social attributes, e.g., race, ethnicity, and income. H…
How does parking regulation policy affect e-scooter sharing systems
Assessment design through co-design
Assessment design in higher education is often approached with a focus on assessment tasks and the processes of designing them, with instructors making decisions in isolation. Drawing on assessment design, co-design and practice theory as a conceptual framing, we recast assessment design as a relational, situated practice and examine co-design as a way to come to practise assessment differently. In a business school, 102 stakeholders participated…
Inference for Heterogeneous Effects using Low-Rank Estimation of Factor Slopes
We study a panel data model with heterogeneous effects, allowing slopes to vary across individuals and time. To reduce dimensionality, we assume these slopes follow a factor structure, so slope matrices can be estimated via low-rank regularized regression. We propose a multi-step estimation procedure incorporating sample splitting and partialing-out to enable valid inference after penalized estimation. We establish the asymptotic normality of the…
Geography (6 works) · Urban Transport and Accessibility (6 works) · Computer Science (5 works) · Human Mobility and Location-Based Analysis (4 works) · Psychology (4 works) · China (3 works) · Engineering (3 works) · Mathematics (3 works) · Sample (material) (3 works) · Social Psychology (3 works)