Mapping Rural Mobility in the Niakhar Area (Fatick Region, Senegal)  

作　　者：Alphousseyni Ndonky Mouhamadou Moustapha Mbacké Ndour Ibrahima Ndiaye Richard Lalou Cheikh Tine Alphousseyni Ndonky;Mouhamadou Moustapha Mbacké Ndour;Ibrahima Ndiaye;Richard Lalou;Cheikh Tine(UFR Sciences de l’Ingénieur, Université de Thiès, Thiès, Sénégal;Ecole Supérieure d’Economie Appliquée, Université Cheikh Anta Diop de Dakar, Dakar, Sénégal;MERIT_UMR 216/IRD, Université Paris Descartes, Paris, France;Université Cheikh Anta Diop, Dakar, Sénégal)

机构地区：[1]UFR Sciences de l’Ingénieur, Université de Thiès, Thiès, Sénégal [2]Ecole Supérieure d’Economie Appliquée, Université Cheikh Anta Diop de Dakar, Dakar, Sénégal [3]MERIT_UMR 216/IRD, Université Paris Descartes, Paris, France [4]Université Cheikh Anta Diop, Dakar, Sénégal

出　　处：《Journal of Geographic Information System》2021年第1期65-82,共18页地理信息系统（英文）

摘　　要：Despite the development of information and communication technologies, mobility still remains an important factor in the development of the social capital, by promoting social interactions. However, rural African populations face more difficulties getting around than city dwellers. In addition, studies on mobility in Africa are relatively weak. In rural African areas, this ignorance of mobility is even more important. It is necessary to identify the characteristics and the spatial structure of mobility flows before starting any reflection on solutions, particularly in terms of spatial allocation of transport resources. Our main objective is to map the current movement flows in the Niakhar area. We chose to use the cartographic approach to analyze mobility flows. The data come from a survey carried out in 2018, as part of the French Institute of Research for Development (IRD) Niakhar Atlas project. For the data analysis, we used 4 methods: dominant flux method, net flux calculation method, directional mean statistics and areal interpolation. The results revealed differences in mobility behavior depending on the season and in space, and the existence of three dominant centers: Ngayokhème, Diohine and Toucar. They also made it possible to highlight the main directions of the flows and the scalar fields of mobility.Despite the development of information and communication technologies, mobility still remains an important factor in the development of the social capital, by promoting social interactions. However, rural African populations face more difficulties getting around than city dwellers. In addition, studies on mobility in Africa are relatively weak. In rural African areas, this ignorance of mobility is even more important. It is necessary to identify the characteristics and the spatial structure of mobility flows before starting any reflection on solutions, particularly in terms of spatial allocation of transport resources. Our main objective is to map the current movement flows in the Niakhar area. We chose to use the cartographic approach to analyze mobility flows. The data come from a survey carried out in 2018, as part of the French Institute of Research for Development (IRD) Niakhar Atlas project. For the data analysis, we used 4 methods: dominant flux method, net flux calculation method, directional mean statistics and areal interpolation. The results revealed differences in mobility behavior depending on the season and in space, and the existence of three dominant centers: Ngayokhème, Diohine and Toucar. They also made it possible to highlight the main directions of the flows and the scalar fields of mobility.

关 键 词：Rural Mobility Polarization ATTRACTIVITY Dominant Flow Dominant Center Area Interpolation Displacement Field 

分 类 号：O17[理学—数学]