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

Aderibigbe Oluwayemi-Oniya, Gumbo Trynos

Journal of Sustainable Development of Transport and Logistics

2023

Vol. 8, No. 2

71--85

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.

Modelling the variation in the mobility pattern of households in the urban and rural areas of Nigeria

Aderibigbe Oluwayemi-Oniya, Gumbo Trynos

Zeszyty Naukowe. Transport / Politechnika Śląska

2022

z. 117

5--21

There is evidence that rural areas are disadvantaged in mobility compared to urban areas. Hence, this study examined spatial variation in the travel pattern of households in urban and rural areas of Nigeria. This study used primary data obtained through questionnaire administration on household heads in the residential zones of both urban and rural areas studied, using the multi-stage sampling technique. Findings revealed that variations exist for age, education level, income level, and occupation in urban and rural areas, and household's average daily mean trip frequency showed a level of fewer trips being generated in the rural area than those in the urban area. Furthermore, the result of the stepwise multiple regression analysis showed that transport mode, household size, number of workers in the house, and occupation of household head were significant variables influencing trip making in urban areas while age, household size, the income of household head and number of employed people were significant in the rural areas. This study concludes that differences exist in the mobility pattern of urban and rural households, and as such, equal consideration and attention should be given to them in policy formulations.