The large-scale expansion of built infrastructure is profoundly reshaping the geographies of Africa, generating lock-in patterns of development for future generations. Understanding the impact of these massive investments can allow development opportunities to be maximised and therefore be critical for attaining the United Nations' Sustainable Development Goals and African Union's Agenda 2063 aims. However, until now information on the types, scope, and timing of investments, their evolution and spatial-temporal impact was dispersed amongst various agencies. We developed a database of 79 development corridors across Africa, synthesizing data from multiple sources covering 184 projects on railways, wet and dry ports, pipelines, airports, techno-cities, and industrial parks. The georeferenced interlinked tabular and spatial database includes 22 attributes. We expect this database will improve coordination, efficiency, monitoring, oversight, strategic planning, transparency, and risk assessments, among other uses for investment banks, governments, impact assessment practitioners, communities, conservationists, economists, and regional economic bodies.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646820 | PMC |
| http://dx.doi.org/10.1038/s41597-022-01771-y | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Integrating ecological and recreational functions to optimize ecological security pattern in Fuzhou City.
Sci Rep
January 2025
College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
The scientific establishment of the Ecological Security Pattern (ESP) is crucial for fostering the synergistic development of ecological and recreational functions, thereby enhancing urban ecological protection, recreational development, and sustainable growth. This study aimed to propose a novel method of constructing ESP considering both ecological and recreational functions, and to reconstruct ESP by weighing the relationship between ecological protection and recreational development. Utilizing Fuzhou City as a case study, a comprehensive application of methodologies including Morphological Spatial Pattern Analysis (MSPA), landscape connectivity analysis, ArcGIS spatial analysis, social network analysis (SNA), and circuit theory is employed to develop both the ESP and the Recreational Spatial Pattern (RSP).
View Article and Find Full Text PDFUnderstanding displacement of onboard contingents in Navy amphibious ships.
PLoS One
January 2025
Department of Information and Communications Technologies, Universidad Politécnica de Cartagena, Cartagena, Región de Murcia, Spain.
The Naval Ship Code (NSC) was enacted in 2009 to standardize regulations for NATO member naval forces, and a study commissioned by the Spanish Navy General Staff (EMA) aimed to identify the factors that influence onboard personnel's ability to move during an evacuation process. This study validated the soundness of the safety protocols implemented on navy vessels and highlighted the impact of certain characteristics of the embarked military contingent, such as body mass index, age, and seniority. It also found that such characteristics could act as distinctive factors among the embarked contingents in the evacuation of a military vessel.
View Article and Find Full Text PDFA Functional Response in Resource Selection Links Multiscale Responses of a Large Carnivore to Human Mortality Risk.
Ecol Lett
January 2025
School of Natural Resources, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
Theory suggests that animals make hierarchical, multiscale resource selection decisions to address the hierarchy of factors limiting their fitness. Ecologists have developed tools to link population-level resource selection across scales; yet, theoretical expectations about the relationship between coarse- and fine-scale selection decisions at the individual level remain elusive despite their importance to fitness. With GPS-telemetry data collected across California, USA, we evaluated resource selection of mountain lions (Puma concolor; n = 244) relative to spatial variation in human-caused mortality risk.
View Article and Find Full Text PDFA framework of ecological security patterns in arid and semi-arid regions considering differences socioeconomic scenarios in ecological risk: Case of Loess Plateau, China.
J Environ Manage
December 2024
School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, Henan, 454003, China. Electronic address:
Understanding the establishment of ecological security patterns in arid and semi-arid regions is critical for global ecological risk prevention, control, and sustainable development. Nonetheless, there remains a relative deficiency in ecological risk assessment and construction of Ecological Security Patterns (ESP) in these areas, along with insufficient verification regarding the changes in ecological security patterns under diverse scenarios. This study employs Morphological Spatial Pattern Analysis (MSPA) to identify ecological sources and utilizes circuit theory alongside Minimum Cumulative Resistance (MCR) to delineate ecological corridors.
View Article and Find Full Text PDFA comparison of traffic crash and connected vehicle event data on a freeway corridor with Hard-Shoulder Running.
Accid Anal Prev
December 2024
Global Data Insights & Analytics, Ford Motor Company, United States. Electronic address:
Police crash reports have traditionally been the primary data source for research and development projects aimed at improving traffic safety. However, there are important limitations of such data, particularly the relative infrequency of crashes on a site-by-site basis in many contexts. Crash analyses often require multiple years of data and the use of such data for short-term evaluations creates challenges.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!