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Geospatial analysis of telecommunication and travel behaviour of households: Lessons from a developing city in Nigeria

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EN
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EN
The advent of telecommunications and other advanced technologies rapidly increases activity accessibility. Consequently, this study examined the impact of telecommunication on the mobility pattern of households in Nigeria. The multi-stage procedure was adopted for the study, and a systematic sampling technique was employed to select 10% of the registered building for questionnaire administration. Thus, 512 respondents were sampled. The stepwise regression analysis revealed that age, income of respondents, call duration, and subscription cost were significant factors influencing telecommunication usage. We found that telecommunication replaces in-store shopping, with 40% of the respondents substituting their shopping trips with telecommunication. We, therefore, proposed that people should be enlightened on the culture of the use of telecommunication and that its usage extends beyond call linkages, as other benefits should be explored.
Twórcy
  • Sustainable and Smart Cities and Regions Research Group, Department of Urban and Regional Planning, University of Johannesburg, Corner Siemert & Beit Streets, Doornfontein 0184 Johannesburg, South Africa
autor
  • Sustainable and Smart Cities and Regions Research Group, Department of Urban and Regional Planning, University of Johannesburg, Corner Siemert & Beit Streets, Doornfontein 0184 Johannesburg, South Africa
Bibliografia
  • Agu, B.O., Simon, N.P., & Onwuka, I.O. (2016). Mobile banking-adoption and challenges in Nigeria. International Journal of Innovative Social Sciences and Humanities Research, 4(1), 17-27.
  • Aguilera, A. (2008). Business travel and mobile workers. Transportation Research Part A, 42: 1109-1116. https://doi.org/10.1016/j.tra.2008.03.005
  • Aguiléra, A., Guillot, C., & Rallet, A., (2012). Mobile ICTs and physical mobility: Review and research agenda. Transportation Research Part A: Policy and Practice, 46(4), 664-672. https://doi.org/10.1016/j.tra.2012.01.005
  • Ahn, H.A. (2001). Nonparametric Method of Estimating the Demand for Mobile Telephone Network: An Application to the Korean Mobile Telephone Market. Information Economics and Policy, 13, 95-106. https://doi.org/10.1016/S0167-6245(00)00035-4
  • Axhausen, K.W.(2000). Definition of movement and activity for transport modelling in: Hensher, D.A., Button, K.J. (Eds.), Handbook of Transport Modelling, vol. I. Elsevier, Oxford, 271-284.
  • Badiora, O. (2012). Spatial Pattern of Crime and Deliquency in Ile-Ife. An M. Sc Thesis Submitted to the Department of Urban and Regional Planning Ile Ife.
  • Blanchard, S., & Wanddel, P. (2017). Urban access: Generalized methodology for measuring regional accessibility with an integrated pedestrian and transit network. Transportation Research Recors: Journal of the Transportation Research Board, 2653 (1), 35-44. https://doi.org/10.3141/2653-05.
  • Boden, D., & Molotch, H. (1994). The compulsion of proximity. now here: space, time and modernity. Friedland, R. and D. Boden (Eds.). Berkeley, CA: UCLA Press. https://doi.org/10.1525/9780520342095-009
  • Campbell, J., & H. Thomas (1981). The videotex marketplace. Telecommunications Policy, 111-121. https://doi.org/10.1016/0308-5961(81)90053-7
  • Couclelis, H. (2000). From Sustainable Transportation to Sustainable Accessibility: Can we Avoid a New Tragedy of the Commons? Information, Place and Cyberspace, D. G. Janelle and D. C. Hodge (Eds.), 341-456. https://doi.org/10.1007/978-3-662-04027-0_20
  • De Graaff, T.& Rietveld, P. (2007). Substitution between working at home and out-of-home: The role of ICT and commuting coTRDAS5Dst. Transportation Research Part A, 41(2), 142-160. https://doi.org/10.1016/j.tra.2006.02.005
  • Douma, F., Wells, Horan, T.& Krizek, K. (2004). ICT and Travel in the Twin Cities Metropolitan Area: Enacted Patterns between Internet Use and Working and Shopping Trips. Paper presented at The Transportation Board 83rd Annual Meeting, 2004 (Washington, D.C. January 11-15.
  • Duffy-Deno, K.T.(2001). Demand for Additional Telephone Lines: An Empirical Note. Information Economics and Policy, 31, 283-299. https://doi.org/10.1016/S0167-6245(01)00031-2
  • Fadare, S. O., & Alade W. (2009). Intra Urban Variation of Households Trip Generation in Lagos Metropolis. Journal of Nigeria Institute of Town Planner, 12(1), 78-87.
  • Fadare, S. O., & Olojede O. (2009). Effect of Mobile Phone Use on Intra-Urban Travel Behaviour of Residents in Osogbo, Nigeria. Journal of Environmental Design and Management, 2(2), 61-69.
  • Farag, S., Schwanen, T., Dijst, M., & Faber, J. (2007). Shopping Online and/or in-store? A Structural Equation Model of the Relationships between E-Shopping and in-store shopping. Transportation Research Part A, 41(2): 125-141. https://doi.org/10.1016/j.tra.2006.02.003
  • Fondevila-Gascón, J-F., Polo-López, M., Rom-Rodríguez, J., & Mir-Bernal, P. (2020). Social media influence on consumer behavior: the case of mobile telephony manufacturers. Sustainability. 12(4), 1506. https://doi.org/10.3390/su12041506
  • Gassner, K. (1998). An Estimation of UK Telephone Access Demand using Pseudo-Panel Data. Utility Policy, 7, 143-154.
  • Gbadamosi, K. T. (2004). Telecommuting and Urban Movement Behaviour, in Vandu-Chikolo et al. (ed). Perspective on Urban Transportation in Nigeria. Published by NITT, Zaria.
  • Gossling, S. (2017). ICT and Transport Behaviour: A conceptual review. International Journal of Sustainable Transportation. https://doi.org/10.1080/15568318.2017.1338318
  • Harvey, A.S. (2003). Time-space diaries: merging traditions. In: Transport Survey Quality and Innovation. Pergamon, (151-180). https://doi.org/10.1108/9781786359551-008
  • Hine, J., Barnejee, U.& Kashyap, A. (2012). Effect of Urban form on Travel Behaviour - A Review of the Literature. Proceedings of the ITRN conference held on 29th-30th of August. University of Ulster.
  • Ibrahim, J., Ros, R.C., Sulaiman, N.F., Nordin, R.C. & Yuan, L.Z. (2014). Positive impact of Smartphone applications: Whatsapp and Facebook for Online business. International Journal of Scientific and Research Publications, 4(12), 1-21.
  • Jayamala, M. (2008). Trends and Spatial Patterns of Crime in India: A Case Study of a District in India. A doctoral dissertation in sociology, Annamalai University, Indian.
  • Kyeremeh, C.& Fiagborlo, J. D. (2016). Factors Influencing Mobile Telecom Service Access and Usage in Cape Coast, Ghana. Microeconomics and Macroeconomics, 4(1), 17-27.
  • Larsen, J., Urry, J., & Axhausen, K. (2007). Networks and tourism. Mobile and social Life. Annals of Tourism Research, 34(1), 244-262. https://doi.org/10.1016/j.annals.2006.08.002
  • Lenz, B. & Nobis, C. (2007). The Changing Allocation of Activities in Space and Time by the use of ICT - 'Fragmentation' as a New Concept and Empirical Results. Transportation Research Part A, 41(2), 190-204. https://doi.org/10.1016/j.tra.2006.03.004
  • Lila, P.C. & Anjaneyulu, M.V.L.R (2016). Modelling the impact of ICT on the Activity and Travel Behaviour of Urban Dwellers in the Indian Context. Transportation Research Procedia, 17, 418-427. https://doi.org/10.1016/j.trpro.2016.11.083
  • Mobile Network Guide (2014). http://www.mobilenetworkguide.com.au/
  • Mokhtarian, P. L. (1991). Telecommunication and travels, state of the practice, state of the air transportation. Belhaven Press, London. https://doi.org/10.1007/BF00186563
  • Mokhtarian, P. L., & Meenakshisundaram, R. (1999). Beyond tele-substitution: disaggregate longitudinal structural equations modelling of communication impacts. Transportation Research C, 7, 33-52. https://doi.org/10.1016/S0968-090X(99)00010-8
  • Mokhtarian, P.L.& Salomon, I. (2002). Emerging Travel Patterns: Do Telecomunications Make a Difference?, in "Pertpetual Motion: Travel Behavior Research Opportunities and Application Challenges". In: H. S. Mahamassani (ed.), Pergamon, Amsterdam, pp. 592. https://doi.org/10.1016/B978-008044044-6/50008-5
  • Muhammed, S., Jong, T., & Ottens, H. (2008). Job Accessibility under the Influence of Information and Communication Technologies, in the Netherlands. Journal of Transport Geography, 16(3), 203-216. https://doi.org/10.1016/j.jtrangeo.2007.05.005
  • Narayana, M. R. (2009). Determinants of Household access Demand for Telecom Services in India: Empirical Evidence and Policy Implications. Perspectives on Global Development and Technology, 8, 70-89. https://doi.org/10.1163/156914909X403199
  • Nobis, C.& Lenz, B. (2009). Communication and mobility behaviour - a trend and panel analysis of the correlation between mobile phone use and mobility. Journal of Transport Geography, 17(2), 93-103. https://doi.org/10.1016/j.jtrangeo.2008.11.013
  • Nobis, C., & Lenz, B. (2003). Changes in Transport Behavior by the Fragmentation of Activities. Paper Presented at the Transportation Board 83rd Annual Meeting, (Washington, D.C. January 11-15.
  • Ogunsanya, A.A. (1986): Some Remarks on the Use of the Conventional Transport Modelling for Transportation Planning in Developing Countries. Journal of the Nigerian Institute of Town Planners, Vol VI and VII, 99-114.
  • Olatokun, M. W., & Bodunwa, I. O. (2005). GSM usage at the University of Ibadan. Electronic Library, 24(2), 540-547. https://doi.org/10.1108/02640470610689214
  • Olawole, M. O. (2013). Exploring Mobile Phone Uses and Rural Travel Behaviour in Ijesaland Southwestern Nigeria. Ife Research Publication in Geography, 12(1&2), 29-44.
  • Oyesiku, K., (1996). Inter-City Travels and Telecommunications relationship: An Exploratory Study in Nigeria. Ife Social Sciences Review, 3(1 & 2), 37-49
  • Padayhag, G.U. Schmöcker, J., & Fukuda, D. (2011). Mobile phones and telecommuting: Effects on trips and tours of Londoners. Journal of Transport and Land use, 4(3), 23-41. https://doi.org/10.5198/jtlu.v4i3.200
  • Salomon, I. (2000). Can telecommunications help solve transportation problems?. In "Handbook of Transport Modelling". In: Hensher, D. A., Button, K.(eds.), Pergamon, Amsterdam, pp. 790.
  • Sanni, K. B, Nsisong, U., Abayomi A. O., Modo F. N., & Leonard E. N. (2010). Family types and Juvenile Delinquency issues among Secondary School Students in Akwa Ibom State, Nigeria: Counseling Implications. International Journal of social sciences, 23(1), 21-28. https://doi.org/10.1080/09718923.2010.11892807
  • Senbil, M., & Kitamura, R., (2004). Reference points in commuter departure time choice: a test of alternative decision frames. Journal of Intelligent Transport Systems, 8, 19-31. https://doi.org/10.1080/15472450490437726
  • Silva, J.D., Ona, J.D., & Gasparovic, S. (2017). The relation between travel behaviour, ICT usage and social network. The design of a web based survey. Transportation Research Procedia, 24(2017), 515-522. https://doi.org/10.1016/j.trpro.2017.05.482
  • Song, Y. (2013). Infrastructure and Urban development: Evidence from Chinese cities. In Song, Y and Ding, C. (Eds). Smart Urban growth for China.
  • Stead, D., & Marshall, S. (2001). The relationship between urban form and travel patterns. an international review and evaluation. European Journal of Transport and Infrastructure, 1(2), 113-141. https://doi.org/10.18757/EJTIR.2001.1.2.3497
  • Subramanya, A.A., Singh, S., & Raut, N.B. (2020). Mobile phone use in the elderly: Boon or Bane? Journal of Geriatric Mental Health, 5(2), 81-83. https://doi.org/10.4103/jgmh.jgmh_32_18
  • Sung, N.& Cho, S. H. (2001). Optional Telephone Subscription Scheme: A Unique Experiment in Korea. Telecommunication Policy, 25, 499-513. https://doi.org/10.1016/S0308-5961(01)00022-2
  • Towner, E., Jarvis, S., Walsh, S., & Aynsley-Green, A. (1994). Measuring exposure to injury risk in school children aged 11-14. British Medical Journal, 308, 449-452. https://doi.org/10.1136/bmj.308.6926.449
  • Ubogu, A. (2008). Telecommunications and Intra-Urban Trip Pattern in Zaria. Transport, 23(2), 161-166. https://doi.org/10.3846/1648-4142.2008.23.161-166
  • Verkasalo, H. (2008). Handset-based Measurement of Mobile Service Demand and Value. Info, 10(3), 51-69. https://doi.org/10.1108/14636690810874395
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-48183db2-282d-443e-b3fb-07f94bd1b68c
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