Žilinská univerzita v Žiline

Permanent URI for this communityhttps://drepo.uniza.sk/handle/hdluniza/1

Browse

Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    State of Urban Transport in a Nigerian Traditional City
    (University of Zilina, 2020) Akanmu, Ayobami Ademola; Salisu, Umar Obafemi; Fasina, Simeon Oluwagbenga; Sanni, Sekinat Motunrayo; Olatunji, Oluwatobi Maria; Faleti, Caroline Adebimpe
    This study appraised the state of urban transport in a Nigerian traditional city. It examined commuters’ socio-economic and transit characterization, assessed the quality of transport infrastructural facilities and services, and identified the challenges of urban transport services in Ibadan city, Nigeria. 163 copies of questionnaires were systematic randomly administered on commuters along six (6) selected traffic-corridors in Ibadan. Both descriptive and inferential (Binary Logistics Regression) statistics were used for data analysis. Major findings revealed majority (about 40%) of commuters were civil servants and earn above 90,000 naira as monthly income. Mean Weighted Value results show that taxi (3.913) and motorcycle (3.756) are dominant and most patronized means. Similarly, the availability (4.075), safety (4.000) and affordability (3.625) were most-weighted factors influencing commuting modal choice, while a trip to work (3.718) and market (3.200) are most generated trips in Ibadan. Meanwhile, most of the assessed infrastructural facilities were of poor quality, while peak/off-peak transit issues (4.050) and vehicular mechanical failure (3.487) were major challenges affecting urban commuting. Binary logistics regression results show that the condition of urban transport infrastructural facilities significantly influence overall satisfaction with urban commuting (p < 0.000). Cox & Snell's R-Square (36%) and Nagelkerke’s R (70%) show that the model is relevant in predicting the relationship between dependent and independent variables. The study concluded that there is a need to improve urban transport system towards ensuring commuters satisfaction and urban development. Hence, recommended among others, integrated transport system with smart devices and improved conventional public transport scheme in Ibadan.
  • Thumbnail Image
    Item
    Socio-Economic Impacts of Road Infrastructure Development During- and Post-Construction in a Fast-Growing City in Nigeria
    (University of Zilina, 2020) Ogunseye, Nathaniel Oluwaseun; Oyejola, Oluwaseun Emmanuel; Salisu, Umar Obafemi; Momodu, Surajudeen Oluseyi; Fasina, Simeon Oluwagbenga
    Road infrastructure is vital to the development of any human settlement and thus it remains an integral part of the municipalities’ annual budget. Despite the numerous benefits road infrastructure development (RID) offers, its development imposes negative impacts. While literature is replete with studies on socio-economic impacts of RID at post-construction stage, attention has not been paid to impacts during construction. Consequently, this study aims at analysing the socio-economic impacts of RID during- and post-construction in Abeokuta city in Nigeria. Multistage sampling technique was utilised in sample selection for the study. Both descriptive and inferential statistics were adopted for data analysis with the aid of Statistical Package for Social Sciences (SPSS). Findings from the descriptive analysis indicated that residents were adversely impacted during construction in areas such as business activities, travel rate, property value, vehicle condition and community health. Regression analysis revealed road development statistically impact on socio-economic activities during construction with three out of nine predictors: transport fare (p=0.009), business activities (p=0.015), and community health (0.031) exerting the major influence. Also, at post-construction stage, regression analysis revealed road development statistically impact the socio-economic activities with four of the nine predictors: transport fare (p=0.042), business activities (p=0.009), community health (p=0.035), and property value (p=0.003) exerting the most significant influence. Student t-test results showed that statistical difference existed between ‘during construction’ and ‘post-construction’ impacts regarding property value, business activities, community health and transport fare. Finally, the study suggested ways to mitigate problems associated with RID, particularly during construction.