Luliang Tang
Biographic Data
| ID | 5153035 |
|---|---|
| NAME | Luliang Tang |
| GIVEN NAMES | Luliang |
| FAMILY NAME | Tang |
| SIGNATURE | TANG L |
| AFFILIATIONS | Wuhan University |
| ORCID | 0000-0003-3523-8994 |
| VERIFIED | Yes |
| TOTAL WORKS | 19 |
| TOTAL CITATIONS | 13 |
| AUTHOR COUNT | 19 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Revealing socio-demographic heterogeneity in urban travel behavior under the influence of the built environment
Cbees
Exploring the effect of new urban expressway on travel time
A self-supervised detection method for mixed urban functions based on trajectory temporal image
A multi-scale user-friendliness evaluation approach on cycling network utilizing multi-source data
Achieving fine-grained urban flood perception and spatio-temporal evolution analysis based on social media
An adaptive OD flow clustering method to identify heterogeneous urban mobility trends
Spatial–Temporal Analysis of Vehicle Routing Problem from Online Car-Hailing Trajectories
With the advent of the information age and rapid population growth, the urban transportation environment is deteriorating. Travel-route planning is a key issue in modern sustainable transportation systems. When conducting route planning, identifying the spatiotemporal disparities between planned routes and the routes chosen by actual drivers, as well as their underlying reasons, is an important method for optimizing route planning. In this study,…
Connectivity analysis in pedestrian networks
Ripley’s K‐function for Network‐Constrained Flow Data
Many types of spatial flows, including pedestrian flows and vehicle flows, are constrained by and distribute on spatial networks. In the literature, network‐constrained flows are usually modeled as a direct line in planar space using methods designed for flows in planar space. Further, in spatial statistical analysis of flow patterns, distance measures and the hypothesis of spatial randomness of flows also have a significant impact on the determi…
The Impact of Community Shuttle Services on Traffic and Traffic-Related Air Pollution
Community shuttle services have the potential to alleviate traffic congestion and reduce traffic pollution caused by massive short-distance taxi-hailing trips. However, few studies have evaluated and quantified the impact of community shuttle services on urban traffic and traffic-related air pollution. In this paper, we propose a complete framework to quantitatively assess the positive impacts of community shuttle services, including route design…
Exploring the Impact of Localized Covid-19 Events on Intercity Mobility during the Normalized Prevention and Control Period in China
Uncontrolled, large-scale human mobility can amplify a localized disease into a pandemic. Tracking changes in human travel behavior, exploring the relationship between epidemic events and intercity travel generation and attraction under policies will contribute to epidemic prevention efforts, as well as deepen understanding of the essential changes of intercity interactions in the post-epidemic era. To explore the dynamic impact of small-scale lo…
Modelling Place Visit Probability Sequences during Trajectory Data Gaps Based on Movement History
The acquisition of human trajectories facilitates movement data analytics and location-based services, but gaps in trajectories limit the extent in which many tracking datasets can be utilized. We present a model to estimate place visit probabilities at time points within a gap, based on empirical mobility patterns derived from past trajectories. Different from previous models, our model makes use of prior information from historical data to buil…
Accessibility Assessment of Buildings Based on Multi-Source Spatial Data
The question of whether each building of housing estate has equal access to nearby social service resources (e.g., public transportation service, catering, entertainment, etc.) is a major concern of citizens. This paper takes Wuhan as a case to explore the equality in social service resource sharing of the housing estate at a microscopic level by analyzing the accessibility of each building under different travel patterns. To estimate the accessi…
Assessing individual activity-related exposures to traffic congestion using GPS trajectory data
Spatiotemporal Analysis of Taxi-Driver Shifts Using Big Trace Data
In taxi management, taxi-driver shift behaviors play a key role in arranging the operation of taxis, which affect the balance between the demand and supply of taxis and the parking spaces. At the same time, these behaviors influence the daily travel of citizens. An analysis of the distribution of taxi-driver shifts, therefore, contributes to transportation management. Compared to the previous research using the real shift records, this study focu…
Understanding urban hospital bypass behaviour based on big trace data
Estimating Vehicle Fuel Consumption and Emissions Using GPS Big Data
The energy consumption and emissions from vehicles adversely affect human health and urban sustainability. Analysis of GPS big data collected from vehicles can provide useful insights about the quantity and distribution of such energy consumption and emissions. Previous studies, which estimated fuel consumption/emissions from traffic based on GPS sampled data, have not sufficiently considered vehicle activities and may have led to erroneous estim…
Travel time estimation at intersections based on low-frequency spatial-temporal GPS trajectory big data
Intersections are the critical parts where different traffic flows converge and change directions, forming "bottlenecks" and "clog points" in urban traffic. Intersection travel time is an important parameter for public route planning, traffic management, and engineering optimization. Based on low-frequency spatial-temporal Global Positioning System (GPS) trace data, this article presents a novel method for estimating intersection travel time. The…
Travel time estimation at intersections based on low-frequency spatial-temporal GPS trajectory big data
Intersections are the critical parts where different traffic flows converge and change directions, forming "bottlenecks" and "clog points" in urban traffic. Intersection travel time is an important parameter for public route planning, traffic management, and engineering optimization. Based on low-frequency spatial-temporal Global Positioning System (GPS) trace data, this article presents a novel method for estimating intersection travel time. The…
Estimating Vehicle Fuel Consumption and Emissions Using GPS Big Data
The energy consumption and emissions from vehicles adversely affect human health and urban sustainability. Analysis of GPS big data collected from vehicles can provide useful insights about the quantity and distribution of such energy consumption and emissions. Previous studies, which estimated fuel consumption/emissions from traffic based on GPS sampled data, have not sufficiently considered vehicle activities and may have led to erroneous estim…
Spatiotemporal Analysis of Taxi-Driver Shifts Using Big Trace Data
In taxi management, taxi-driver shift behaviors play a key role in arranging the operation of taxis, which affect the balance between the demand and supply of taxis and the parking spaces. At the same time, these behaviors influence the daily travel of citizens. An analysis of the distribution of taxi-driver shifts, therefore, contributes to transportation management. Compared to the previous research using the real shift records, this study focu…
Understanding urban hospital bypass behaviour based on big trace data
Modelling Place Visit Probability Sequences during Trajectory Data Gaps Based on Movement History
The acquisition of human trajectories facilitates movement data analytics and location-based services, but gaps in trajectories limit the extent in which many tracking datasets can be utilized. We present a model to estimate place visit probabilities at time points within a gap, based on empirical mobility patterns derived from past trajectories. Different from previous models, our model makes use of prior information from historical data to buil…
Accessibility Assessment of Buildings Based on Multi-Source Spatial Data
The question of whether each building of housing estate has equal access to nearby social service resources (e.g., public transportation service, catering, entertainment, etc.) is a major concern of citizens. This paper takes Wuhan as a case to explore the equality in social service resource sharing of the housing estate at a microscopic level by analyzing the accessibility of each building under different travel patterns. To estimate the accessi…
Assessing individual activity-related exposures to traffic congestion using GPS trajectory data
Ripley’s K‐function for Network‐Constrained Flow Data
Many types of spatial flows, including pedestrian flows and vehicle flows, are constrained by and distribute on spatial networks. In the literature, network‐constrained flows are usually modeled as a direct line in planar space using methods designed for flows in planar space. Further, in spatial statistical analysis of flow patterns, distance measures and the hypothesis of spatial randomness of flows also have a significant impact on the determi…
The Impact of Community Shuttle Services on Traffic and Traffic-Related Air Pollution
Community shuttle services have the potential to alleviate traffic congestion and reduce traffic pollution caused by massive short-distance taxi-hailing trips. However, few studies have evaluated and quantified the impact of community shuttle services on urban traffic and traffic-related air pollution. In this paper, we propose a complete framework to quantitatively assess the positive impacts of community shuttle services, including route design…
Exploring the Impact of Localized Covid-19 Events on Intercity Mobility during the Normalized Prevention and Control Period in China
Uncontrolled, large-scale human mobility can amplify a localized disease into a pandemic. Tracking changes in human travel behavior, exploring the relationship between epidemic events and intercity travel generation and attraction under policies will contribute to epidemic prevention efforts, as well as deepen understanding of the essential changes of intercity interactions in the post-epidemic era. To explore the dynamic impact of small-scale lo…
Spatial–Temporal Analysis of Vehicle Routing Problem from Online Car-Hailing Trajectories
With the advent of the information age and rapid population growth, the urban transportation environment is deteriorating. Travel-route planning is a key issue in modern sustainable transportation systems. When conducting route planning, identifying the spatiotemporal disparities between planned routes and the routes chosen by actual drivers, as well as their underlying reasons, is an important method for optimizing route planning. In this study,…
Connectivity analysis in pedestrian networks
A self-supervised detection method for mixed urban functions based on trajectory temporal image
A multi-scale user-friendliness evaluation approach on cycling network utilizing multi-source data
Achieving fine-grained urban flood perception and spatio-temporal evolution analysis based on social media
An adaptive OD flow clustering method to identify heterogeneous urban mobility trends
Cbees
Exploring the effect of new urban expressway on travel time
Revealing socio-demographic heterogeneity in urban travel behavior under the influence of the built environment
Computer Science (14 works) · Engineering (12 works) · Human Mobility and Location-Based Analysis (12 works) · Urban Transport and Accessibility (12 works) · Geography (10 works) · Transport engineering (10 works) · Transportation Planning and Optimization (9 works) · Trajectory (5 works) · Artificial Intelligence (4 works) · Business (4 works)