Mingxuan Dou
Biographic Data
| ID | 2359898 |
|---|---|
| NAME | Mingxuan Dou |
| GIVEN NAMES | Mingxuan |
| FAMILY NAME | Dou |
| SIGNATURE | DOU M |
| AFFILIATIONS | Wuhan University |
| ORCID | 0000-0001-6459-1661 |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 11 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Integrating multilayer transport networks into location-based accessibility modelling for urban land use analysis
The accessibility of transport networks is a fundamental concept for understanding the intricate relationship between urban land use patterns and public transport systems. Previous studies have largely assessed accessibility within single transport modes, with limited attention to the integrated functioning of multimodal systems. To address this problem, this study proposed a method for calculating the enhanced location-based accessibility of urb…
Discovering the nonlinear association between the built environment and metro ridership
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
Nonlinear and Threshold Effects on Station-Level Ridership
Station-level ridership is an important indicator for understanding the relationship between land use and rail transit, which is crucial for building more sustainable urban mobility systems. However, the nonlinear effects of the built environment on metro ridership, particularly concerning temporal heterogeneity, have not been adequately explained. To address this gap, this study proposes a versatile methodology that employs the eXtreme gradient …
Revealing the spatial co-occurrence patterns of multi-emotions from social media data
Incorporating neighborhoods with explainable artificial intelligence for modeling fine-scale housing prices
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…
Community-Level Social Topic Tracking of Urban Emergency
During the outbreak of COVID-19 in Wuhan, the public used Weibo to acquire information, express emotions, and seek help at a historic and unprecedented scale. This situational information is valuable for authorities to initiate emergency policies and protect people’s health. Although event detection and situation awareness during COVID-19 using social media data have been investigated in recent studies, the spatiotemporal evolution patterns of so…
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…
Social awareness of crisis events
Social awareness of crisis events
Community-Level Social Topic Tracking of Urban Emergency
During the outbreak of COVID-19 in Wuhan, the public used Weibo to acquire information, express emotions, and seek help at a historic and unprecedented scale. This situational information is valuable for authorities to initiate emergency policies and protect people’s health. Although event detection and situation awareness during COVID-19 using social media data have been investigated in recent studies, the spatiotemporal evolution patterns of so…
Social awareness of crisis events
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…
Community-Level Social Topic Tracking of Urban Emergency
During the outbreak of COVID-19 in Wuhan, the public used Weibo to acquire information, express emotions, and seek help at a historic and unprecedented scale. This situational information is valuable for authorities to initiate emergency policies and protect people’s health. Although event detection and situation awareness during COVID-19 using social media data have been investigated in recent studies, the spatiotemporal evolution patterns of so…
Revealing the spatial co-occurrence patterns of multi-emotions from social media data
Incorporating neighborhoods with explainable artificial intelligence for modeling fine-scale housing prices
Nonlinear and Threshold Effects on Station-Level Ridership
Station-level ridership is an important indicator for understanding the relationship between land use and rail transit, which is crucial for building more sustainable urban mobility systems. However, the nonlinear effects of the built environment on metro ridership, particularly concerning temporal heterogeneity, have not been adequately explained. To address this gap, this study proposes a versatile methodology that employs the eXtreme gradient …
Uncovering the similarity and heterogeneity of metro stations
Integrating multilayer transport networks into location-based accessibility modelling for urban land use analysis
The accessibility of transport networks is a fundamental concept for understanding the intricate relationship between urban land use patterns and public transport systems. Previous studies have largely assessed accessibility within single transport modes, with limited attention to the integrated functioning of multimodal systems. To address this problem, this study proposed a method for calculating the enhanced location-based accessibility of urb…
Discovering the nonlinear association between the built environment and metro ridership
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 (7 works) · Urban Transport and Accessibility (7 works) · Geography (4 works) · Human Mobility and Location-Based Analysis (4 works) · Land use (4 works) · Mathematics (3 works) · Transportation Planning and Optimization (3 works) · Urban Design and Spatial Analysis (3 works) · Artificial Intelligence (2 works) · Beijing (2 works)