Transport and Communications
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Transport and Communications is an scientific journal intended to bring together the information in different areas of transport and communications. The aim of this journal is to combine theory and practice in the field transport and communications and thus advancement of transport and communications sciences. It will provide a platform for academicians, researchers and engineers to share their experience and solution to problems.Journal is indexed in database Index Copernicus.
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Item An Appraisal of Intercity Commuting Pattern Using Railway Services in South-Western Nigeria(University of Zilina, 2021) Raji, Bashiru Adisa; Dina, Adeolu; Solanke, Muse Olayiwola; Alli, Taiwo KareemTracking the influence of service improvements on passengers particularly is an important component of transport management. This study examined the characteristics of intercity travellers in the Economy Class Units (ECU) and recently introduced Diesel Multiple Unit (DMU) service within the Lagos District Nigeria Railway Corporation in southwestern Nigeria. A structured questionnaire was randomly administered to 1206 passengers traveling on these trains over two months with analysis in-volving the use of the regression model. The findings of the study indicate the socio-economic characteristics of passengers accounted for about 90.3% and 88.2% of the variation in volume trips made by passengers using DMU and ECU service respectively. Significant socio-economic predictors of trip volume on DMU train are Occupation (0.137), Vehicle Ownership (0.218), and Type of vehicle (0.218). On the other hand, significant socio-economic attributes of ECU passengers that affect trip volume are Age (0.274), Education (0.970), Occupation (-0.918), Income (0.435), Vehicle Ownership (0.249), and type of Vehicle (-0.165). The result further indicates Trip Purpose explained 83.5% and 86.7% of the variation in the trip volume of both services. The trip purpose that significantly influences the volume of trips on the ECU trains are Business (0.210), Shopping (0.447) Leisure (-0.463), and other trip purposes (0.775). For the DMU train, only Other-trip forms of purpose (0.753) is significant in explaining the volume of passengers using that service. The study shows similarities in the use of the two services while several useful recommendations on ways to improve both services of the corporation were proffered.Item Intra-Urban Trip Generation Factors in Developing World: A Study of Ogun State, Nigeria(University of Zilina, 2021) Solanke, Muse Olayiwola; Raji, Bashiru AdisaIntra-urban travel is basic to urban residents. It is occasioned by the need of urban residents to carry out their activities in different places either by necessity or by choice. The magnitude of trips generated depends on the complex interaction of socio-economic characteristics of the cities and those of their residents. However, existing knowledge on the subject matter seems to concentrate on the latter to the sheer neglect of the former. This study therefore examines factors of intra-urban trip generation with emphasis on socio-economic characteristics of urban centres as well as those of urban residents. The study is based on both secondary and primary data from 14 selected urban centres of the state. Secondary data on 16 factors of growth of city were collected. These include population, industrial establishments, educational institutions, recreation and sporting services, postal and telecommunication services, health care services and shopping services. Primary data, through questionnaire survey were collected on socio-economic characteristics of urban residents and their trip generation frequency. 2,100 well completed questionnaires were analysed for this study. Simple bivariate correlation and multiple regression analyses were employed to examine the relationships between socio-economic characteristics of urban centres and trips generation. Similar analyses were also employed in the examination of the nature and extent of relationship between socio-economic characteristics of residents and trips generated. Principal component analysis was used in reducing socioeconomic variables of the urban centres. The socio-economic characteristics of urban centres provide a greater explanation of the criterion with 53.80 % (F=13.982 P ≤ 0.05) while socio-economic characteristics of residents provide 46.20% (F=137.62 P ≤ 0.01) of the explanation. The study establishes the need for caution among transport researchers in using socio-economic characteristics of urban residents as major determinants of urban travel especially in the developing countries.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 AdebimpeThis 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.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 OluwagbengaRoad 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.