Yandong Wang
Biographic Data
| ID | 4070864 |
|---|---|
| NAME | Yandong Wang |
| GIVEN NAMES | Yandong |
| FAMILY NAME | Wang |
| SIGNATURE | WANG Y |
| AFFILIATIONS | Wuhan University |
| ORCID | 0000-0001-9539-8725 |
| VERIFIED | Yes |
| TOTAL WORKS | 14 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 14 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Identifying amenity mixes associated with demographic-group mobility using Region2Vec and residential profile data
Discovering the nonlinear association between the built environment and metro ridership: Global and local perspectives
Ridership serves as a critical measure of the interaction between urban spaces and metro systems, and a detailed analysis of its influencing factors is pivotal for the advancement of sustainable transportation. While prior studies have examined the nonlinear relationship between built environment features and metro ridership, they have given limited attention to incorporating spatial effects arising from station proximity or accounting for spatia…
Uncovering the similarity and heterogeneity of metro stations: From passenger mobility, land use, and streetscapes semantics
Revealing the spatial co-occurrence patterns of multi-emotions from social media data
A Multiobjective Land Use Design Framework with Geo-Big Data for Station-Level Transit-Oriented Development Planning
Transit-oriented development (TOD) is among the most feasible strategies for relieving urban issues caused by the unbalanced development of transportation and land use. This study proposes a multiobjective TOD land use design framework for the optimization of the land use layout in station catchments. Given the high density and diverse development in Chinese megacities, a planning model that considers nonlinear impacts on ridership, land use effi…
Using weighted multilayer networks to uncover scaling of public transport system
The public transport system is considered as one of the most important subsystems in metropolises for achieving sustainability objectives by mediating resources and travel demand. Representing the various urban transport networks is crucial in understanding travel behavior and the function of the transport system. However, previous studies have ignored the coupling relationships between multi-mode transport networks and travel flows. To address t…
Detecting Urban Events by Considering Long Temporal Dependency of Sentiment Strength in Geotagged Social Media Data
The development of location-based services facilitates the use of location data for detecting urban events. Currently, most studies based on location data model the pattern of an urban dynamic and then extract the anomalies, which deviate significantly from the pattern as urban events. However, few studies have considered the long temporal dependency of sentiment strength in geotagged social media data, and thus it is difficult to further improve…
Integrating Network Centrality and Node-Place Model to Evaluate and Classify Station Areas in Shanghai
Transit-oriented development (TOD) is generally understood as an effective urban design model for encouraging the use of public transportation. Inspired by TOD, the node-place (NP) model was developed to investigate the relationship between transport stations and land use. However, existing studies construct the NP model based on the statistical attributes, while the importance of travel characteristics is ignored, which arguably cannot capture t…
A realistic and multilevel measurement of citywide spatial patterns of economic segregation based on human activities
Research on the realistic and comprehensive identification of citywide spatial patterns of economic segregation is valuable for the sustainable development of cities. The consideration of human activities in segregation research inspires us to develop an alternative method to contribute to this type of research. In our method, we emphasize the combination of collective activity spaces (CASs) and spatial economic data, both of which are obtained f…
Public Traffic Congestion Estimation Using an Artificial Neural Network
Alleviating public traffic congestion is an efficient and effective way to improve the travel time reliability and quality of public transport services. The existing public network optimization models usually ignored the essential impact of public traffic congestion on the performance of public transport service. To address this problem, this study proposes a data-based methodology to estimate the traffic congestion of road segments between bus s…
An Economic Development Evaluation Based on the OpenStreetMap Road Network Density: The Case Study of 85 Cities in China
The evaluation of urban economies has been one key concern identified by scholars. In the past, most research methods on urban development assessments have been based on statistical data, and the analysis results have been presented in the form of statistical tables. Moreover, the development of urban road networks reflects the status of urban development and spatial metrics, which are obtained from the urban road network which can be used to eva…
A Vector Line Simplification Algorithm Based on the Douglas–Peucker Algorithm, Monotonic Chains and Dichotomy
When using the traditional Douglas–Peucker (D–P) algorithm to simplify linear objects, it is easy to generate results containing self-intersecting errors, thus affecting the application of the D–P algorithm. To solve the problem of self-intersection, a new vector line simplification algorithm based on the D–P algorithm, monotonic chains and dichotomy, is proposed in this paper. First, the traditional D–P algorithm is used to simplify the original…
Medical Named Entity Extraction from Chinese Resident Admit Notes Using Character and Word Attention-Enhanced Neural Network
The resident admit notes (RANs) in electronic medical records (EMRs) is first-hand information to study the patient's condition. Medical entity extraction of RANs is an important task to get disease information for medical decision-making. For Chinese electronic medical records, each medical entity contains not only word information but also rich character information. Effective combination of words and characters is very important for medical en…
Analysis of the environmental behavior of farmers for non-point source pollution control and management: An integration of the theory of planned behavior and the protection motivation theory
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Analysis of the environmental behavior of farmers for non-point source pollution control and management: An integration of the theory of planned behavior and the protection motivation theory
Public Traffic Congestion Estimation Using an Artificial Neural Network
Alleviating public traffic congestion is an efficient and effective way to improve the travel time reliability and quality of public transport services. The existing public network optimization models usually ignored the essential impact of public traffic congestion on the performance of public transport service. To address this problem, this study proposes a data-based methodology to estimate the traffic congestion of road segments between bus s…
An Economic Development Evaluation Based on the OpenStreetMap Road Network Density: The Case Study of 85 Cities in China
The evaluation of urban economies has been one key concern identified by scholars. In the past, most research methods on urban development assessments have been based on statistical data, and the analysis results have been presented in the form of statistical tables. Moreover, the development of urban road networks reflects the status of urban development and spatial metrics, which are obtained from the urban road network which can be used to eva…
A Vector Line Simplification Algorithm Based on the Douglas–Peucker Algorithm, Monotonic Chains and Dichotomy
When using the traditional Douglas–Peucker (D–P) algorithm to simplify linear objects, it is easy to generate results containing self-intersecting errors, thus affecting the application of the D–P algorithm. To solve the problem of self-intersection, a new vector line simplification algorithm based on the D–P algorithm, monotonic chains and dichotomy, is proposed in this paper. First, the traditional D–P algorithm is used to simplify the original…
Medical Named Entity Extraction from Chinese Resident Admit Notes Using Character and Word Attention-Enhanced Neural Network
The resident admit notes (RANs) in electronic medical records (EMRs) is first-hand information to study the patient's condition. Medical entity extraction of RANs is an important task to get disease information for medical decision-making. For Chinese electronic medical records, each medical entity contains not only word information but also rich character information. Effective combination of words and characters is very important for medical en…
Detecting Urban Events by Considering Long Temporal Dependency of Sentiment Strength in Geotagged Social Media Data
The development of location-based services facilitates the use of location data for detecting urban events. Currently, most studies based on location data model the pattern of an urban dynamic and then extract the anomalies, which deviate significantly from the pattern as urban events. However, few studies have considered the long temporal dependency of sentiment strength in geotagged social media data, and thus it is difficult to further improve…
Integrating Network Centrality and Node-Place Model to Evaluate and Classify Station Areas in Shanghai
Transit-oriented development (TOD) is generally understood as an effective urban design model for encouraging the use of public transportation. Inspired by TOD, the node-place (NP) model was developed to investigate the relationship between transport stations and land use. However, existing studies construct the NP model based on the statistical attributes, while the importance of travel characteristics is ignored, which arguably cannot capture t…
A realistic and multilevel measurement of citywide spatial patterns of economic segregation based on human activities
Research on the realistic and comprehensive identification of citywide spatial patterns of economic segregation is valuable for the sustainable development of cities. The consideration of human activities in segregation research inspires us to develop an alternative method to contribute to this type of research. In our method, we emphasize the combination of collective activity spaces (CASs) and spatial economic data, both of which are obtained f…
A Multiobjective Land Use Design Framework with Geo-Big Data for Station-Level Transit-Oriented Development Planning
Transit-oriented development (TOD) is among the most feasible strategies for relieving urban issues caused by the unbalanced development of transportation and land use. This study proposes a multiobjective TOD land use design framework for the optimization of the land use layout in station catchments. Given the high density and diverse development in Chinese megacities, a planning model that considers nonlinear impacts on ridership, land use effi…
Using weighted multilayer networks to uncover scaling of public transport system
The public transport system is considered as one of the most important subsystems in metropolises for achieving sustainability objectives by mediating resources and travel demand. Representing the various urban transport networks is crucial in understanding travel behavior and the function of the transport system. However, previous studies have ignored the coupling relationships between multi-mode transport networks and travel flows. To address t…
Revealing the spatial co-occurrence patterns of multi-emotions from social media data
Uncovering the similarity and heterogeneity of metro stations: From passenger mobility, land use, and streetscapes semantics
Identifying amenity mixes associated with demographic-group mobility using Region2Vec and residential profile data
Discovering the nonlinear association between the built environment and metro ridership: Global and local perspectives
Ridership serves as a critical measure of the interaction between urban spaces and metro systems, and a detailed analysis of its influencing factors is pivotal for the advancement of sustainable transportation. While prior studies have examined the nonlinear relationship between built environment features and metro ridership, they have given limited attention to incorporating spatial effects arising from station proximity or accounting for spatia…
Computer Science (11 works) · Human Mobility and Location-Based Analysis (8 works) · Mathematics (6 works) · Urban Transport and Accessibility (6 works) · Engineering (5 works) · Transport engineering (5 works) · Geography (4 works) · Transportation Planning and Optimization (4 works) · Artificial Intelligence (3 works) · Data mining (3 works)