A5015418685- Human Mobility and Location-Based Analysis
- Urban Transport and Accessibility
- Transportation Planning and Optimization
- Complex Network Analysis Techniques
- RFID technology advancements
- Opinion Dynamics and Social Influence
- Impact of Light on Environment and Health
- Advanced Sensor and Control Systems
- Urban, Neighborhood, and Segregation Studies
- Fractional Differential Equations Solutions
- Data-Driven Disease Surveillance
- Traffic Prediction and Management Techniques
- Geographic Information Systems Studies
- Data Management and Algorithms
- Game Theory and Applications
- IPv6, Mobility, Handover, Networks, Security
- Advanced Authentication Protocols Security
- Advanced Algorithms and Applications
- 3D Modeling in Geospatial Applications
- Business Strategy and Innovation
- Innovation and Knowledge Management
- Data Visualization and Analytics
- Urban Design and Spatial Analysis
- Access Control and Trust
- User Authentication and Security Systems
University College London
2015-2025
Nanjing University
2025
School of Advanced Study
2023-2025
State Grid Corporation of China (China)
2021-2025
Shenyang Fire Research Institute
2023-2024
Ocean University of China
2024
Anhui Jianzhu University
2023
Guangxi Normal University
2023
Zhejiang Chinese Medical University
2023
King's College London
2016-2021
Urban spatial structure in large cities is becoming ever more complex as populations grow size, engage travel, and have increasing amounts of disposable income that enable them to live diverse lifestyles. These trends prominent visible effects on urban activity, are polycentric their new clusters hotspots emerge coalesce a wider sea development. Here, we apply recent methods network science generalization analysis identify the city hubs, centers, borders, which essential elements...
Identifying changes in the spatial structure of cities is a prerequisite for development and validation adequate planning strategies. Nevertheless, current methods measurement are becoming ever more challenged by highly diverse intertwined ways how people actually make use urban space. Here, we propose new quantitative measure centrality locations, taking into account not only numbers attracted to different but also diversity activities they engaged in. This ‘centrality index’ allows...
To discover regularities in human mobility is of fundamental importance to our understanding urban dynamics, and essential city transport planning, management policymaking. Previous research has revealed universal at mainly aggregated spatio-temporal scales but when we zoom into finer scales, considerable heterogeneity diversity observed instead. The question address this paper what are the detect stable, explicable, sustainable. This thus proposes a basic measure variability assess...
In this paper, we propose a computational approach to Jane Jacobs' concept of diversity and vitality, analyzing new forms spatial data obtain quantitative measurements urban qualities frequently employed evaluate places. We use smart card collected from public transport calculate value for each research unit. Diversity is composed three dynamic attributes: intensity, variability, consistency, measuring different temporal variations mobility flows. then apply regression model establish the...
Cycling, as a routine mode of travel, offers significant benefits in promoting health, eliminating emissions, and alleviating traffic congestion. Many cities, including London, have introduced various policies measures to promote 'active travel' view its manifold advantages. Nevertheless, the reality is not desirable expected. Existing studies suggest that cyclists' perceptions cycling safety significantly hinder broader adoption cycling. Our study investigates perceived unpacks association...
This paper takes Shenzhen Fustian comprehensive transportation junction as the case, and makes use of continuous multiple real-time dynamic traffic information to carry out monitoring analysis on spatial temporal distribution passenger flow under different means service capacity from multi-dimensional space-time perspectives such period special period. Virtual reality geographic system is employed present forecasting result.
New smart card datasets are providing new opportunities to explore travel behaviour in much greater depth than anything accomplished hitherto. Part of this quest involves measuring the great array regular patterns within such data and explaining these relative less which have often been treated past as noise. Here we use a simple method called DBSCAN identify clusters events associated with particular individuals whose over space time is captured by data. Our dataset sequence three months...
Finding a method to evaluate people’s emotional responses urban spaces in valid and objective way is fundamentally important for design practices related policy making. Analysis of the essential qualities space could be made both more effective accurate using innovative information techniques that have become available era big data. This study introduces an integrated based on geographical systems (GIS) emotion-tracking technique quantify relationship between space. can degree which are...
Recent urban transformations have led to critical reflections on the blighted infrastructures and called for re-stimulating vital places. Especially, metro has been recognized as backbone infrastructure mobility associated economy agglomeration. To date, limited research devoted investigating relationship between vitality built environment in mega-cities empirically. This paper presents a multisource data-driven approach quantify vibrancy its association with underlying environment. Massive...
The current COVID-19 pandemic has profoundly impacted people's lifestyles and travel behaviours, which may persist post-pandemic. An effective monitoring tool that allows us to track the level of change is vital for controlling viral transmission, predicting activity demand and, in long term, economic recovery. In this paper, we propose a set Twitter mobility indices explore visualise changes patterns, demonstrated through case study London. We collected over 2.3 million geotagged tweets...
A commonly used quantitative method for evaluating the status quo in transit-oriented development (TOD) is node-place (NP) model. However, NP-derived models seldom consider compactness of station areas and their interactions with urban structures. This work extended NP model by introducing two concepts vibrancy. Moreover, a scoring approach was proposed to measure overall TOD level facilitate inter-city comparison. conducted comparative study megacities, Guangzhou Shenzhen, found that...
The COVID-19 pandemic has greatly affected internal migration patterns and may last beyond the pandemic. It raises need to monitor in an economical, effective timely way. Benefitting from advancement of geolocation data collection techniques, we used near real-time fine-grained Twitter during pandemic, dated January 2019 December 2021. Based on geocoding estimating home locations, proposed five indices depicting patterns, which are demonstrated by applying empirical study at national local...
Abstract The polycentric city model has gained popularity in spatial planning policy, since it is believed to overcome some of the problems often present monocentric metropolises, ranging from congestion difficult accessibility jobs and services. However, concept ‘polycentric city’ a fuzzy definition as result, extent which cannot be easily determined. Here, we leverage fine spatio-temporal resolution smart travel card data infer urban polycentricity by examining how departs well-defined...