A5073835530- Human Mobility and Location-Based Analysis
- Land Use and Ecosystem Services
- Regional Economics and Spatial Analysis
- Transportation Planning and Optimization
- Urban Transport and Accessibility
- Traffic and Road Safety
- Impact of Light on Environment and Health
- Local Economic Development and Planning
- China's Socioeconomic Reforms and Governance
- Evolutionary Game Theory and Cooperation
- Geographic Information Systems Studies
- Evacuation and Crowd Dynamics
- Regional Development and Environment
- Spatial and Panel Data Analysis
- Conservation, Biodiversity, and Resource Management
- Urban and Rural Development Challenges
- Urban Green Space and Health
- Remote Sensing and Land Use
- Land Rights and Reforms
- Transportation and Mobility Innovations
- Urban and Freight Transport Logistics
Technical University of Munich
2020-2025
University of Cambridge
2023
Urban Planning & Design Institute of Shenzhen (China)
2020
China Academy of Urban Planning and Design
2020
Peking University
2018
Abstract This study introduces a data-driven, bottom-up approach to urban delineation, integrating feature engineering with the Density-Based Spatial Clustering of Applications Noise (DBSCAN) algorithm, which represents significant improvement in precision and methodology compared traditional approaches that rely on simplistic OpenStreetMap (OSM) road node data aggregations. By employing broad array OSM categories refining selection through engineering, our research significantly enhances...
ABSTRACT Introduction: China has been experiencing dramatic urbanization in parallel with its economic boom over the past three to four decades. The Yangtze River Delta (YRD), as most important engine Chinese economy, pioneered rapid road of since late 1970s. We quantified and compared spatiotemporal patterns urban expansion six major cities YRD agglomeration between 1980 2015. Outcomes: found that Shanghai, Nanjing, Hangzhou, Wuxi, Suzhou Ningbo expanded by an annual rate 5.4%, 5.9%, 9.6%,...
<title>Abstract</title> This study introduces a data-driven, bottom-up approach to urban delineation, integrating feature engineering with the Density-Based Spatial Clustering of Applications Noise (DBSCAN) algorithm, marking significant shift from traditional methodologies reliant on simplistic OpenStreetMap (OSM) road node data aggregations. By employing broad array OSM categories and refining selection through engineering, our research significantly enhances precision relevance...
Overlapping structures, often overlooked, are crucial in shaping comprehensive urban development and broader megaregional strategies. To address the gap, this study conducts overlapping communities analysis Pearl River Delta (PRD), a megaregion South China, using big geospatial data from 2018. A novel Community Detection based on Density Peaks (OCDDP) is employed to generate multiple with diverse functions for different nodes commuting network of 60 sub-city divisions. We identify eight PRD...
Although land reform can be motivated by different policy objectives, it always involves the participation of many actors. Insights from New Institutional Economics suggest that individual interests are not aligned with collective tend to undermine goals reform. This study provides a viable framework and measures for social capital, trust, cooperation performance their interrelationships compensate existing separate analysis these three factors rare application in achieving action. We also...
Route choice is a complex issue in simulating individual behaviors and reproducing collective phenomena during evacuations. A growing concern has been given to the cognitive mechanism investigate how routing decisions are made specific situations. However, essential role of multiple spatio-temporal scales not completely considered current frameworks, which leads inaccuracy cognition representation evacuation decisions. This study proposes novel framework integrated with for route choice....
Urban spatial structure is essential for formulating urban development strategies, while little attention has been paid to the overlapping and complex city network. This study thus constructs a commuting network with 60 sub-city divisions as nodes explore communities its driving forces in Pearl River Delta, megaregion South China, set of multi-source geospatial big data. A novel community detection algorithm based on density peaks (OCDDP) used generate multiple their cores. Then binary...
As a supplement to the existing public transit system, bike-sharing is considered an effective solution "first mile" and "last of travel. While many stakeholders believe that multimodal travel between can improve urban accessibility sustainability, few studies have assessed impact on transportation systems in terms efficiency equity. This research uses cell phone location data 140 million from Shenzhen, China, analyze first mile last measure system equity at different scales. The finds less...