Mapping the balance between grain supply and demand globally - GIS-based transport accessibility.

Autor: Kotavaara, O., Ala-Hulkko, T., Toivanen, M., Poturalska, A., Magyar, M., Kinnunen, P.
Předmět:
Zdroj: Abstracts of the ICA; 2021, Vol. 3, p1-2, 2p
Abstrakt: Hunger is one of the biggest global problems for humankind that has not been solved by the 21st century. Despite the satisfactory level of global food production, shortage of food is still a problem in some of the less-developed countries. Problems in food safety are the biggest in Africa, Asia, Latin America and the Near East. There are 795 million people who do not get enough calories and nutrients from food globally. President of American Association of Geographers Glen M. MacDonald (2016) named the question of food and famines as one of the key research agendas in geography. Depending on the future development trends, food problem may even get worse in the future due to steep population growth in the developing countries and negative effects of climate change on food production. One of the main reasons for the unequal distribution of hunger is socio-economic factors. In the future, climate change, population growth, increasing socio-economic differences, natural disasters and political conflicts are likely to increase the problem. To ease the food shortage (e.g. by developing agricultural policies, farming practices and food markets), we need timely and accurate information on global food accessibility. Regional balance between production and consumption, as well as differences in transport system conditions among regions, have a key role in satisfying demand. Aim of this study is to explore spatial mismatch between proxies of food grain production and consumption in accurately localised data. This study can plausible be executed thanks to rapid development in open-source geospatial data and its applicability in Geographic Information Systems (GIS)-based analyses. Analysis of the study include the distribution of population, food resources and accessibility by road and maritime transports at the same time. Data of the study consists of food grain supply and demand (Kinnunen et al. 2020) and multimodal global transport network model consisting of road network by NASA gROADS 2010, major ports by World Port Index 2019 and maritime connections by CIA Map of the World Oceans 2012 enhanced by raster (Figure 1). [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index