A5050248884- Urban and Rural Development Challenges
- Land Use and Ecosystem Services
- Flood Risk Assessment and Management
- Urban Transport and Accessibility
- Urban Design and Spatial Analysis
- Impact of Light on Environment and Health
- Tropical and Extratropical Cyclones Research
- Climate change impacts on agriculture
- Housing Market and Economics
- Energy and Environment Impacts
- Urban Planning and Governance
- Smart Parking Systems Research
- Hydrology and Watershed Management Studies
- Microfinance and Financial Inclusion
- Hydrology and Drought Analysis
- Local Economic Development and Planning
- COVID-19 epidemiological studies
- Place Attachment and Urban Studies
- Disaster Management and Resilience
- Anomaly Detection Techniques and Applications
- Energy, Environment, and Transportation Policies
- Transportation and Mobility Innovations
- 3D Modeling in Geospatial Applications
- Seismic and Structural Analysis of Tall Buildings
- Data-Driven Disease Surveillance
University of Manchester
2022-2025
Kwame Nkrumah University of Science and Technology
2013-2024
University of Bristol
2021-2022
Lahore University of Management Sciences
2021
University of Cambridge
2016-2019
High-resolution global flood risk maps are increasingly used to inform disaster planning and response, particularly in lower income countries with limited data or capacity. However, current approaches do not adequately account for spatial variation social vulnerability, which is a key determinant of outcomes exposed populations. Here we integrate annual average exceedance probability estimates from high-resolution fluvial model gridded population poverty create vulnerability-adjusted index...
Retrospective understanding of the magnitude and pace urban expansion is necessary for effective growth management in metropolitan regions. The objective this paper to quantify spatial–temporal patterns Greater Kumasi Sub-Region (GKSR)—a functional region comprising eight administrative districts Ghana, West Africa. analysis based on Landsat remote sensing images from 1986, 2001 2014 which were classified using supervised maximum likelihood algorithm ERDAS IMAGINE. We computed three...
Housing low-income households is a daunting task for policy makers across the Global South, and especially those in Africa where past attempts to deliver State-funded affordable housing projects yielded minimal results. Presenting Ghana as case study, purpose of this article consider rationale barriers securing through planning system, situated within an African context. The key factors that would inhibit effective implementation include, on one hand, lack central government commitment, weak...
The global urban population is expected to grow by 2.5 billion over the next three decades, and 90% of this growth will occur in African Asian countries. Urban expansion these regions often characterised ‘informal urbanization’ whereby households self-build without planning permission contexts ambiguous, insecure or disputed property rights. Despite scale informal urbanization, it has received little attention from scholars working domains analytics city science. Towards addressing gap, we...
This article aims to provide an understanding of the housing market situation in Ghana, financing instruments available and challenges faced by low-income households accessing finance. The gap between income house prices is shown be huge across different groups Ghana. It also demonstrated that conventional mortgage finance inaccessible due high payment-to-income ratios, lack cash for down-payments long repayment periods. Three alternative strategies are proposed: first, practical approaches...
Over the years, many city managers, policy makers and academics alike have turned to high-rise buildings as pathway sustainable urban development. However, sustainability of such types development in various geographical contexts, especially sub-Saharan Africa, is a subject less explored. Amidst promotion rapidly urbanizing metropolis Ghana, Kumasi, research empirically examined social acceptability residential facilities institutional capacity for their effective management. By conducting...
Abstract. Flooding is an endemic global challenge with annual damages totalling billions of dollars. Impacts are felt most acutely in low- and middle-income countries, where rapid demographic change driving increased exposure. These areas also tend to lack high-precision hazard mapping data which better understand or manage risk. To address this information gap a number flood models have been developed recent years. However, there substantial uncertainty over the performance these products....
Abstract. Flooding is an endemic global challenge with annual damages totalling billions of dollars. Impacts are felt most acutely in low and middle-income countries, where rapid demographic change driving increased exposure. These areas also tend to lack high precision hazard mapping data which better understand or manage risk. To address this information gap a number Global Flood Models have been developed recent years. However, there substantial uncertainty over the performance these...
High resolution poverty mapping supports evidence-based policy and research, yet about half of all countries lack the survey data needed to generate useful maps. To overcome this challenge, new non-traditional sources deep learning techniques are increasingly used create small-area estimates in low- middle-income (LMICs). Convolutional Neural Networks (CNN) trained on satellite imagery emerging as one most popular effective approaches. However, spatial has remained relatively coarse,...
Global flood risk maps combine data from hydrodynamic models with gridded population or GDP to estimate the amount of people wealth likely be exposed future events. These estimates rarely incorporate measures social vulnerability, which is a key source variation in outcomes for populations. They also use arbitrary return period thresholds, can disguise potentially catastrophic hazards. To address these limitations, we integrate annual average exceedance probability high-resolution (~90m)...
Urban data deficits in developing countries impede evidence-based planning and policy. Could energy be used to overcome this challenge by serving as a local proxy for living standards or economic activity large urban areas? To answer question, we examine the potential of georeferenced residential electricity meter night-time lights (NTL) megacity Karachi, Pakistan. First, use nationally representative survey establish strong association between consumption household standards. Second,...
Urban data deficits in developing countries impede evidence-based planning and policy. Could energy be used to overcome this challenge by serving as a local proxy for living standards or economic activity large urban areas? To answer question, we examine the potential of georeferenced residential electricity meter night-time lights (NTL) megacity Karachi, Pakistan. First, use nationally representative survey establish strong association between consumption household standards. Second,...
Abstract Global flood risk maps combine data from hydrodynamic models with gridded population or GDP to estimate the amount of people wealth likely be exposed future events. These estimates rarely incorporate measures social vulnerability, which is a key source variation in outcomes for populations. To address this lacuna, we integrate annual average exceedance probability high-resolution (~90m) model and economic create global vulnerability-adjusted index flooding (VARI Flood). Designed...