MOBILITY CHALLENGES AND BORDER ROUTES: THE RISE OF REGIONAL CONFLICTS IN THE LAKE CHAD BASIN
DOI:
https://doi.org/10.46827/ejsss.v0i0.277Palabras clave:
mobility challenges, travel security, accessibility, travel time, cross-border tradeResumo
The main objective of this study is to identify impediments or information that affect problems associated with arrival time, which in the long run constitutes mobility challenges. Transport challenges exist in the Chad Basin due to the geography of transport, flow of immigrants which is always examined as a strong factor for the growth of conflicts (insurgency and other crisis). The Chad Basin encourages the growth of various groups for agriculture and commerce. The dynamism of Lake Chad had introduced conflicts which had changed individual transport behaviour and risks over the years, and reduction in logistic management – cross-border trade, an important factor for growth in trade for Lake Chad Basin Countries. The estimated predictors using the multinomial marginal change shows that there may be gains in access but the dynamism - the terrain of the region and current trends in security concerns has had effects on mobility challenges, especially due to unmaintained roads, high travel insecurity as a result of crisis and insurgency, high travel cost and longer travel time. We recommend that priorities of government in the Lake Chad Basin should gradually change from funding to end the insurgency and rehabilitation of victims to road rehabilitation, to remove all barriers to mobility challenges as a results of impassable roads and closed roads, high security travel risks and low level of cross-border trade in the region attributed to road conditions amongst others.
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Achieves, A.E. Handbook on Infrastructure Statistics, New York, 2005.
Adepoju, A. 2005. Migration in West Africa. Global Commission on International Migration, Geneva, 2005.
Adepoju, A., A. Boulton & M. Levin, 2007. Promoting integration through mobility: free movement and the ECOWAS Protocol. New Issues in Refugee Research: Research Paper No 150. Geneva: UNHCR
Bierens, H.L. The logit Models: estimation, testing and interpretation. Penn State, Department of economics.
Blum, C. Cross-border Flows between Nigeria and Benin: What are the Challenges for (human) Security? Friedrich-Ebert-Stiftung Regional Office, 2014.
Buis, M.L. Stata tip 87: Interpretation of interactions in non-linear models. The stata journal, 10(2), 2010, pp. 305-308
Button, K. Transport economics. Edward Elgar Publishing, London, 2010.
De Palma, A., Ben-Akiva, M., Brownstone, D., Holt, C., Magnac, T., McFadden, D & Walker, J. Risk, Uncertainty and Discrete Choice Models. Marketing Letters, 19(3-4), 2008, pp. 269-285.
ECOWAS. Executive Secretary’s Report, 2000. Abuja: ECOWAS Secretariat, 2000.
Handy, S. L. 2005. Planning for accessibility: In theory and in practice. University of Carlifonia, Davis, 1-17
Kahneman, D. and Tversky, A. Prospect Theory: An Analysis of Decision under Risk, Econometrica, 47(2),1979, pp. 263-291.
National Emergency Management Agency (NEMA). Government of the Federal Republic of Nigeria, Abuja, 2016.
National Road Authority. Impact of Improvements in the Road Network on the Accessibility & Economic Potential of Counties, Urban Areas, Gateways & Hubs, 2012. (www.nra.ie/publications/trin)
Rioja, F.K Filling potholes: macroeconomic effects of maintenance versus new investments in public infrastructure. Journal of Public Economics, 87(9), 2003, pp. 2281-2304.
Suleiman Purokayo, G. Logistic Management and Transportation Security in Northern Nigeria. The Russian Academic Journal, 31(1). 2015
Teravaninthorn, S., & Raballand, G. Transport prices and costs in Africa: a review of the main international corridors. World Bank Publications, 2009.
Turcotte, M. Like commuting? Workers' perceptions of their daily commute. Canadian Social Trends, Catalogue No. 11-008, 2006.
United Nations. Cross-border issues in West Africa, Initial proceedings, Repertoire of the Practice of the Security Council, pp. 2004-2007, 2007.
Szumilas, M. Explaining odds ratios, Journal of Canadian Academy Child and Adolescent Psychiatry, 19(13), pp. 227, 2010.
