Fig 2 - uploaded by Md Rakibul Islam
Content may be subject to copyright.
Source publication
Among the six partially-grade separated flyovers constructed in Dhaka till July 2017, Shaheed Ahsanullah Master Flyover was found to be in the worst operating condition for at-grade traffic movements. A field investigation was conducted to identify and evaluate the at-grade traffic movement at Tongi Level Crossing under the flyover. The identified...
Contexts in source publication
Context 1
... the vehicle counts were converted to passenger car units, as depicted in Table 1, using the following passenger car equivalent (PCE) factors prescribed by the Ministry of Communication (2011) A comparison with the data presented by Anwari et al. (2016) for the same flyover taken in 2015 is provided below. Table 1 and Figure 2 show that an overwhelming majority of vehicles continue to travel at grade, as clarified by thus degrading the rail-road traffic condition. The last column of the table showing relative usage by vehicles of road space over and under the flyover clarifies this proposition. ...
Similar publications
The paper discusses difficulties of identifying the causes of a landslide. These difficulties are illustrated in the example of a catastrophic landslide on the embankment of the western bank of the Brda River, which affected a bridge abutment of a disused narrow-gauge railway line from Bydgoszcz to Koronowo (Polish Lowlands). The railway was closed...
Citations
... The majority of the shops sell low-quality food to consumers at exorbitant prices [12,13]. Moreover, the traffic congestion is extremely high at level crossings near railway stations, causing an additional delay for rail passengers both en route to stations and traveling by train [14][15][16][17]. Additionally, the presence of a solitary railway line between Joydebpur Railway Station and successive destinations (instead of a minimum of two lines that is practiced worldwide) increases train arrival and departure scheduling conflicts, which have been further discussed in Section 4 [18,19]. ...
... This is because of the constant movement of pedestrians, motorcycles and rickshaws (a type of local non-motorized vehicle) defying the level crossing barrier while trying to reach their destination. This causes trains to wait longer at level crossings before they are allowed to proceed [17]. ...
... Since Dhaka is the capital of Bangladesh and offers the greatest number of job opportunities and a dream for leading a better livelihood, it attracts people from all over the country. However, high living expenses in the city force many people to live in streets and slums [17]. Consequently, many homeless people live in stations and sleep on the chairs designated for waiting passengers in platforms. ...
This paper assesses the perception of intercity rail passengers on station facilities at Joydebpur Railway Station in Bangladesh. The ordinal logistic regression (OLR) tool was applied to analyze 1000 responses of rail passengers on 24 selected service and 5 demographic parameters. Critical consideration from the perspective of a developing country revealed six unique factors, namely Level crossing facility, Illegal establishments, Illegal shops, Floating people, Arrival performance, and Departure performance, which have never been explored in any previous studies. The regression analysis identified that 13 service quality factors significantly affected commuters' satisfaction level, particularly the Food and drinks, Road connectivity, Sanitation, and Waiting room facility at the station. Among the five demographic factors, age, occupation, and travel frequency significantly influenced overall passenger satisfaction (OPS). The model results have also been validated through a second survey at Kamalapur Railway Station, Bangladesh. The results suggest that policymakers should focus on the elderly, financially solvent people, and frequent travelers. Additionally, refreshment facilities, road connectivity, sanitation, and waiting room facilities should be given priority, as these will heavily impact passenger satisfaction according to this study. Subsequent attributes can then be prioritized as per the attributes ranked and according to budget considerations of the authority.
... The majority of the shops sell low-quality food to consumers at exorbitant prices [12,13]. Moreover, the traffic congestion is extremely high at level crossings near railway stations, causing an additional delay for rail passengers both en route to stations and traveling by train [14][15][16][17]. Additionally, the presence of a solitary railway line between Joydebpur Railway Station and successive destinations (instead of a minimum of two lines that is practiced worldwide) increases train arrival and departure scheduling conflicts, which have been further discussed in Section 4 [18,19]. ...
... This is because of the constant movement of pedestrians, motorcycles and rickshaws (a type of local non-motorized vehicle) defying the level crossing barrier while trying to reach their destination. This causes trains to wait longer at level crossings before they are allowed to proceed [17]. ...
... Since Dhaka is the capital of Bangladesh and offers the greatest number of job opportunities and a dream for leading a better livelihood, it attracts people from all over the country. However, high living expenses in the city force many people to live in streets and slums [17]. Consequently, many homeless people live in stations and sleep on the chairs designated for waiting passengers in platforms. ...
This paper assesses the perception of intercity rail passengers on station facilities at Joydebpur Railway Station in Bangladesh. The ordinal logistic regression (OLR) tool was applied to analyze 1000 responses of rail passengers on 24 selected service and 5 demographic parameters. Critical consideration from the perspective of a developing country revealed six unique factors, namely Level crossing facility, Illegal establishments, Illegal shops, Floating people, Arrival performance, and Departure performance, which have never been explored in any previous studies. The regression analysis identified that 13 service quality factors significantly affected commuters' satisfaction level, particularly the Food and drinks, Road connectivity, Sanitation, and Waiting room facility at the station. Among the five demographic factors, age, occupation, and travel frequency significantly influenced overall passenger satisfaction (OPS). The model results have also been validated through a second survey at Kamalapur Railway Station, Bangladesh. The results suggest that policymakers should focus on the elderly, financially solvent people, and frequent travelers. Additionally, refreshment facilities, road connectivity, sanitation, and waiting room facilities should be given priority, as these will heavily impact passenger satisfaction according to this study. Subsequent attributes can then be prioritized as per the attributes ranked and according to budget considerations of the authority.
... Moreover, it is not possible to traverse extremely large distances, or traverse quickly in rickshaws. Their slow speeds can aggravate traffic congestion (Anwari et al., 2018). Before pandemic, rickshaws were usually regarded as an inferior alternative to buses. ...
This study aims to examine the extent to which SARS-Cov-2 and associated governmental interventions to mitigate virus transmission has affected daily travel decisions in Bangladesh. A questionnaire survey was used to record opinions of respondents hailing from diverse socioeconomic backgrounds on trip number and mode preferences for a variety of trip purposes for "before" and "during" COVID-19 situation. This was used to assess changes in (i) trip frequencies, and (ii) travel mode preferences using contingency tables, ordinal logistic regression and Sankey diagrams. Analyses revealed that COVID-19 caused large variation in mode preferences but small variation in trip frequencies. Males still go outside for work and shopping, putting them at greater risk than females. COVID-19 has drastically cut recreational trips, but not so many work trips. Although online work or education (950%) and shopping (170%) has risen, this seems to be limited to urban areas. Besides, buses continue to be preferred the most during pandemic for trips involving short distance recreation (26.75%), markets (43.18%), and long distance recreation (35.66%). Results suggest the lack of online penetration in rural and suburban areas have prevented worktrip reductions in those places, putting the inhabitants at heightened risk from virus. Moreover, majority of the people continue to use buses at the expense of their health for lack of cheaper alternatives. Results imply that the government need to ensure proper hygiene practices in public transit and non-motorised paratransit vehicles. Moreover, Information and Communication Technology (ICT), pedestrian and bicycle facilities need to be improved.
... Using the algorithm, 93% Precision and 91% Recall, 99% PCC (Percent of Correct Classification value. These escalated number of traffic along with non-lane based heterogeneous traffic infrastructure cause chronic traffic congestion in the major cities and highways in Bangladesh [3][4][5]. As a result, the speed of vehicles is decreasing largely and even in many cities of Bangladesh, the velocity during peak period drop down to less than 10km/hr. ...
The present study explores the traffic characteristics and identifies the level of service (LOS) at a major signalized intersection to investigate the behavior of traffic in an industrial zone and assess the performance of this intersection. The traffic data were collected using video cameras for three different time-period. Volume capacity ratio method was used to determine the LOS. Extensive data analysis show that traffic at this intersection are heterogeneous and non-lane based. The most dominating vehicle is the bus (37%), while truck and car contain 20% and 15% of total traffic respectively. Dhaka approach shows the worst LOS, and Tangail approach performs better compared to others. Finally the study presents practical implications of such findings, and guide the transport-planners accordingly.