A5030091063- Urban Transport and Accessibility
- Human Mobility and Location-Based Analysis
- demographic modeling and climate adaptation
- Distributed and Parallel Computing Systems
- Transportation Planning and Optimization
- Insurance, Mortality, Demography, Risk Management
- Geographic Information Systems Studies
- Land Use and Ecosystem Services
- Cryospheric studies and observations
- Environmental Impact and Sustainability
- Hydrology and Watershed Management Studies
- Scientific Computing and Data Management
- Agriculture Sustainability and Environmental Impact
- Educational Games and Gamification
- Community Health and Development
- Soil and Water Nutrient Dynamics
- Digital Games and Media
- Migration, Aging, and Tourism Studies
- Urban Design and Spatial Analysis
- Soil erosion and sediment transport
- Landslides and related hazards
- Advanced Data Storage Technologies
- Geology and Paleoclimatology Research
- Rangeland and Wildlife Management
- Mental Health and Patient Involvement
University of Leeds
2011-2023
University of Edinburgh
2017-2023
El Paso Community College
2023
Huazhong Agricultural University
2021-2022
Goldsmiths University of London
2018-2020
University of Illinois Chicago
2017
Université de Montréal
2017
John B. Pierce Laboratory
2017
University of Oxford
2008
Royal Hospital for Sick Children
2004
The recent emergence of dockless bike sharing systems has resulted in new patterns urban transport. Users can begin and end trips from their origin destination locations rather than docking stations. Analysis changes the spatiotemporal availability such bikes ability to provide insights into dynamics at a finer granularity is possible through analysis travel card or dock-based scheme data. This study analyses Nanchang, China over period when metro line came operation. It uses spatial...
Short-term demand prediction is important for managing transportation infrastructure, particularly in times of disruption, or around new developments. Many bike-sharing schemes face the challenges service provision and bike fleet rebalancing due to "tidal flows" travel use. For them, it crucial have precise predictions at a fine spatiotemporal granularities. Despite recent advances machine learning approaches (e.g. deep neural networks) short-term traffic predictions, relatively few studies...
This study describes the integration and analysis of travel smart card data (SCD) with points interest (POIs) from social media for a case in Shenzhen, China. SCD ticket price tap-in tap-out times was used to identify different groups travellers. The examines temporal variations mobility, identifies users characterises their trip purpose sub-groups patterns. Different were identified based on costs. associated evaluated by constructing zones around metro station locations identifying POIs...
This document aims to agree on a broad, international strategy for the implementation of open scholarship that meets needs different national and regional communities but works globally.Scholarly research can be idealised as an inspirational process advancing our collective knowledge benefit all humankind. However, current practices often struggle with range tensions, in part due fact this (or “commons”) ideal conflicts competitive system which most scholars work, because much infrastructure...
Debris-covered glaciers in the central Himalaya have now experienced several decades of sustained ice loss, manifested predominantly glacier surface lowering. In particular, surfaces low longitudinal gradient and velocity developed locally complex topographies undergone profound changes supraglacial hydrology. this study we examine development topography across six debris-covered Everest region over last four via a new metric relief applied to Digital Elevation Models (DEMs). We focus on...
Understanding the interactions between different travel modes is crucial for improving urban transport resilience, especially during times of disruption and transit failure. As a flexible sustainable mode, bikeshare schemes are able to solve "first/last" mile problems in as well provide an alternative motorised traffic. This paper uses OD (origin destination) trip data from London Cycle Hire Scheme temporal docking station bike availability explore impact four separate Underground (Tube)...
The authors present an architecture for simulation modeling using the resources of grid computing. use provides access to substantial data storage and processing power, which are necessary translate such models from computational tools into genuine planning aids. As well as providing virtualized compute resources, allows customized applications meet needs array potential user organizations. A number key obstacles in deployment integration e-Science services identified. These include high...
The Cropland Supplement Policy (CSP) helps maintain the total area of cropland in China as urban areas expand, but can result environmental degradation more natural habitat are turned into cropland. Current and future impacts CSP explored under different land-use change scenarios by comparing differences ecosystem services value (ESV) at province level. Scenario-based simulation results suggest that Hubei province, cost 19.53 billion CNY period 2000 to 2015 would an additional 12.54 2030...
MoSeS (Modelling and Simulation for e-Social Science) is a research node of the National Centre Science. uses e-Science techniques to execute an events-driven model that simulates discrete demographic processes; this allows us project UK population 25 years into future. This paper describes architecture, simulation methodology latest results obtained by MoSeS.
Agent-based simulation models provide a way to investigate social phenomena that complement existing science methods. Recent advances in computing hardware such as the wide availability of multi-core CPUs and increased main memory capacities make it possible population-scale using commodity compute resources. This paper describes experiences made development an example model utilises multiple CPU cores investigation scalability resulting code. We argue resources commoditised frameworks can...
Encourage collaboration between code users, developers and researchers. This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY).
This paper describes the development and application of a novel generic framework for parsimonious soil-water interaction models to predict risk agro-chemical runoff. The underpinning represent two scales runoff in fields delivery mobilised pesticides river channel networks. Parsimonious field landscape scale were constructed using number pre-computed parameters combination with live rainfall data. precomputed included spatially-distributed historical data determine long term average soil...
In my experience, if undertaken correctly, community development for social change is messy, complicated and demanding—you collect the blisters. John Eversley’s excellent new book Social Community Development: an Introduction helps capture complexity challenge of understanding ‘right thing to do’ then ‘how do it right’. Using lens theory apparently, 40 years practice, author works systemically scrutinise interpret experience as a guide, informing to’ act. Here, there determination bring back...