The study examines the contribution of Railway Level Crossing (RLC)physical attributes to accident occurrence using the12 major level crossings within the Lagos metropolis. The 48km single track mainline section under consideration which barely make up 1.1% of the entire narrow gauge track network of the country within a 5 year period contributed about 45% of the total National crossing accidents recorded in Nigeria. The method of investigation involved recording the individual attributes of each RLC such asgates, pedestrian traffic, car traffic light, proximity of signage to crossing, vehicular traffic as dummy variables.The regression analysis was used to measure their effect on accidents.The result indicates gates, pedestrians and the location of signage had significant impact on accidents occurrence at level crossings within Lagos metropolis. Based on the findings, enhancement of active warning systems among other recommendations was suggested as potent counter measures for RLC accident reduction.Abstrak Penelitian menguji tingkat kontribusi atribut fisik dari perlintasan jalan kereta api terhadap kejadian kecelakaan menggunakan 12 perlintasan utama dalam kota metropolis Lagos. 48 km jalan utama tunggal menjadi pertimbangan yang hampir meningkat 1.1% dari seluruh trek sempit jaringan negara dalam jangka waktu 5 tahun menyumbang sekitar 45% dari total kecelakaan perlintasan secara Nasional di Nigeria. Metode penelitian melibatkan catatan dari masing-masing atribut RLC seperti pintu gerbang, pejalan kaki, lampu lalu lintas mobil, kedekatan tanda penyebarangan, lalu lintas kendaraan sebagai variabel dumi. Analisis regresi digunakan untuk mengukur pengaruh dari atribut terhadap kecelakaan. Hasilnya menunjukkan pintu gerbang, pejalan kaki, dan lokasi tanda perlintasan mempunyai dampak signifikan pada kecelakaan dalam kota metropolis Lagos.Berdasarkan penemuan tersebut, perbaikan dari sistem peringatan aktif disarankan sebagai upaya mengurangi kecelakaan RLC.
Access to primary health facilities is a key determinant of the overall well being of the population in an area. In rural regions were distances to public facilities are usually longer compared to urban areas, it is not clear if people are still willing to walk to use these facilities. It is pertinent therefore to clarify such uncertainty since walking distance is a standard measure used to plan such public facilities particularly in rural regions. The objective of this study therefore is to provide a framework to determine the factors that will influence a health care service seeker in a developing region to walk or use other means of transport to a primary health facility. The case study for this research is Ijebu North Local Government Area of Ogun state made up of eleven urban and rural wards. One hundred and fifty households were selected at random for interview. Logit regression was used to describe how some predictor variables were used to explain the likelihood of a particular household walking to a primary health facility. The predicting model in this study was able to classify 80.0% of the cases correctly. This simply shows that the predictors (independent variables) contribute to the predicting power of the logistic regression model. The pseudo R-squares of Cox and Snell's R-square and Nagelkerke's R also show that our logistic model is relevant to predicting whether a household will walk or use a vehicle while attending a health facility. In our study, we noted that settlement status (p=0.00) and transport cost to health facility (p=0.00) contributed significantly to the prediction. This study also reveals that the odds for household members in an urban area to walk to the health facility often used is 88.1% lower than the odds for a household in a rural area. It was revealed that households that are poor are 49% times more likely to walk to the health facility they frequently used. The knowledge of the factors that will determine whether health care service seekers in a developing region will want to walk or not will assist government in the planning and provision of health facilities.Abstrak Akses ke fasilitas kesehatan yang bersifat primer merupakan faktor penentu kesejaheraan dari penduduk di suatu daerah. Pada wilayah pedesaan dengan jarak ke fasilitas umum yang lebih jauh dibandingkan perkotaan, ketersediaan orang-orang berjalan untu menggunakan fasilitas-fasilitas tersebut menjadi tidak jelas. Hal ini sangat relevan karena untuk mengklarifikasi ketidakpastian tersebut, dimana berjalan kaki menjadi ukuran standar yang digunakan untuk merencanakan fasilitias umum di daerah pedesaan. Penelitian uni bertujuan untuk menyediakan kerangka pemikiran untuk menentukan faktor yang berpengaruh terhadap pencari layanan keseahatan pada wilayah yang sedang berkembang, apakah dengan berjalan ataukan menggunakan moda transportasi lain untuk memperoleh fasilitas kesehatan primer. Studi kasus untuk penelitian ini adalah Pemerintah Daerah Ijebu Utara pada Provinsi Ogun-Nigeria yang terdiri dari wilayah kecamatan p...
Tracking 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.
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