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The COVID-19 pandemic has caused incredible impacts on people’s travel behavior. Recent studies suggest that while the demand for public transport has decreased due to passengers’ inability to maintain physical distance inside this mode, the demand for private automobile and active transport modes (walking and cycling) has increased during the pandemic. Policymakers should take this opportunity given by the pandemic and encourage people to use active transport more in the new normal situation to achieve sustainable transportation outcomes. This study explores the expected change in active transport mode usage in the new normal situation in Bangladesh based on the data from a questionnaire survey. The study finds that 56% and 45% of the respondents were expected to increase travel by walking and cycling, respectively, during the new normal situation. On the other hand, 19% of the respondents were expected to do the opposite. The study further identifies the factors influencing the expected change in travel by active transport modes during the new normal situation by developing multinomial logistic regression models. Finally, this study proposes policies to increase active transport use beyond the pandemic and ensure sustainable mobility for city dwellers and their well-being.
Niaz Zafri; Asif Khan; Shaila Jamal; Bhuiyan Alam. Impacts of the COVID-19 Pandemic on Active Travel Mode Choice in Bangladesh: A Study from the Perspective of Sustainability and New Normal Situation. Sustainability 2021, 13, 6975 .
AMA StyleNiaz Zafri, Asif Khan, Shaila Jamal, Bhuiyan Alam. Impacts of the COVID-19 Pandemic on Active Travel Mode Choice in Bangladesh: A Study from the Perspective of Sustainability and New Normal Situation. Sustainability. 2021; 13 (12):6975.
Chicago/Turabian StyleNiaz Zafri; Asif Khan; Shaila Jamal; Bhuiyan Alam. 2021. "Impacts of the COVID-19 Pandemic on Active Travel Mode Choice in Bangladesh: A Study from the Perspective of Sustainability and New Normal Situation." Sustainability 13, no. 12: 6975.
Background To prevent the viral transmission from higher infected to lower infected area, controlling the vehicular traffic, consequently public movement on roads is crucial. Containment strategies and local cognition regarding pandemic might be helpful to control vehicular movement. This study aimed to ascertain the effectiveness of containment strategies and local cognition for controlling traffic volume during COVID-19 pandemic in Dhaka, Bangladesh. Method Six containment strategies were considered to explore their influence on traffic condition, including declaration of general holiday, closure of educational institution, deployment of force, restriction on religious gathering, closure of commercial activities, and closure of garments factories. Newspaper coverage and public concern about COVID-19 were considered as local cognition in this research. The month of Ramadan as a potential event was also taken into account considering it might have an impact on the overall situation. Average daily journey speed (ADJS) was calculated from real-time traffic data of Google Map to understand the vehicular traffic scenario of Dhaka. A multiple linear regression method was developed to comprehend the findings. Results The results showed that among the containment strategies, declaration of general holiday and closure of educational institutions could increase the ADJS significantly, thereby referring to less traffic movement. Besides, local cognition could not significantly affect the traffic condition, although the month of Ramadan could increase the ADJS significantly. Conclusion It is expected that these findings would provide new insights into decision-making and help to take appropriate strategies to tackle the future pandemic situation.
Niaz Mahmud Zafri; Sadia Afroj; Mohammad Ashraf Ali; Musleh Uddin Hasan; Hamidur Rahman. Effectiveness of containment strategies and local cognition to control vehicular traffic volume in Dhaka, Bangladesh during COVID-19 pandemic: Use of Google Map based real-time traffic data. PLOS ONE 2021, 16, e0252228 .
AMA StyleNiaz Mahmud Zafri, Sadia Afroj, Mohammad Ashraf Ali, Musleh Uddin Hasan, Hamidur Rahman. Effectiveness of containment strategies and local cognition to control vehicular traffic volume in Dhaka, Bangladesh during COVID-19 pandemic: Use of Google Map based real-time traffic data. PLOS ONE. 2021; 16 (5):e0252228.
Chicago/Turabian StyleNiaz Mahmud Zafri; Sadia Afroj; Mohammad Ashraf Ali; Musleh Uddin Hasan; Hamidur Rahman. 2021. "Effectiveness of containment strategies and local cognition to control vehicular traffic volume in Dhaka, Bangladesh during COVID-19 pandemic: Use of Google Map based real-time traffic data." PLOS ONE 16, no. 5: e0252228.
The impacts of COVID-19 on the transportation system have received attention from researchers all over the world. Initial findings reveal that patronage of public transport has gone down, while the use of active transport has increased in general. To the best of our knowledge, no study has focused on the pandemic’s effects on motorcycle mode, let alone in the context of an Asian city. We attempted to fill this void in literature by investigating if COVID-19 has influenced people to purchase motorcycles and determining the factors driving their intentions. The study is based on an online survey of 368 people in Dhaka, the capital of Bangladesh. The study found that around 46% of the respondents were expected to increase travel by motorcycle during the post-lockdown period. About 21% of the respondents were also expected to do the opposite. Around 31% of the respondents planned to purchase a motorcycle by August 2021, and the results indicated that the pandemic has influenced more people to purchase motorcycles compared to the pre-pandemic period. The study further identified factors that influenced the respondents’ plan for purchasing a motorcycle during the post-lockdown period applying the binary logistic regression. Based on the findings of the study, policy measures were proposed for controlling the growth of motorcycle numbers and increasing the use of active transport modes as its alternative, and consequently, helping to achieve sustainable transportation outcomes.
Niaz Mahmud Zafri; Asif Khan; Shaila Jamal; Bhuiyan Monwar Alam. Impact of COVID-19 Pandemic on Motorcycle Purchase in Dhaka, Bangladesh. Frontiers in Future Transportation 2021, 2, 1 .
AMA StyleNiaz Mahmud Zafri, Asif Khan, Shaila Jamal, Bhuiyan Monwar Alam. Impact of COVID-19 Pandemic on Motorcycle Purchase in Dhaka, Bangladesh. Frontiers in Future Transportation. 2021; 2 ():1.
Chicago/Turabian StyleNiaz Mahmud Zafri; Asif Khan; Shaila Jamal; Bhuiyan Monwar Alam. 2021. "Impact of COVID-19 Pandemic on Motorcycle Purchase in Dhaka, Bangladesh." Frontiers in Future Transportation 2, no. : 1.
Background The emergence of COVID-19 pandemic has not only shaken the global health sector, but also almost every other sector, including economic and education sectors. Newspapers are performing a significant role by featuring the news of COVID-19 from its very onset. The temporal fluctuation of COVID-19 related key themes presented in newspaper articles and the findings obtained from them could offer an effective lesson in dealing with future epidemics and pandemics. Aim and method This paper intends to develop a pandemic management framework through an automated content analysis of local newspaper coverage of COVID-19 pandemic in Bangladesh. To fulfill the aim, 7,209 newspaper articles are assembled and analyzed from three popular local newspapers named "bdnews24.com", "New Age", and "Prothom Alo English" over the period from January 1, 2020 to October 31, 2020. Results Twelve key topics are identified: origin and outbreak of COVID-19, response of healthcare system, impact on economy, impact on lifestyle, government assistance to the crisis, regular updates, expert opinions, pharmaceutical measures, non-pharmaceutical measures, updates on vaccines, testing facilities, and local unusual activities within the system. Based on the identified topics, their timeline of discussion, and information flow in each topic, a four-stage pandemic management framework is developed for epidemic and pandemic management in future. The stages are preparedness, response, recovery, and mitigation. Conclusion This research would provide insights into stage-wise response to any biological hazard and contribute ideas to endure future outbreaks.
Niaz Mahmud Zafri; Sadia Afroj; Imtiaz Mahmud Nafi; Musleh Uddin Hasan. A content analysis of newspaper coverage of COVID-19 pandemic for developing a pandemic management framework. Heliyon 2021, 7, e06544 -e06544.
AMA StyleNiaz Mahmud Zafri, Sadia Afroj, Imtiaz Mahmud Nafi, Musleh Uddin Hasan. A content analysis of newspaper coverage of COVID-19 pandemic for developing a pandemic management framework. Heliyon. 2021; 7 (3):e06544-e06544.
Chicago/Turabian StyleNiaz Mahmud Zafri; Sadia Afroj; Imtiaz Mahmud Nafi; Musleh Uddin Hasan. 2021. "A content analysis of newspaper coverage of COVID-19 pandemic for developing a pandemic management framework." Heliyon 7, no. 3: e06544-e06544.
Background COVID-19 pandemic outbreak is an unprecedented shock throughout the world, which has generated a massive social, human, and economic crisis. Identification of risk factors is crucial to prevent the COVID-19 spread by taking appropriate countermeasures effectively. Therefore, this study aimed to identify the potential risk factors contributing to the COVID-19 incidence rates at the district-level in Bangladesh. Method Spatial regression methods were applied in this study to fulfill the aim. Data related to 28 demographic, economic, built environment, health, and facilities related factors were collected from secondary sources and analyzed to explain the spatial variability of this disease incidence. Three global (ordinary least squares (OLS), spatial lag model (SLM), and spatial error model (SEM)) and one local (geographically weighted regression (GWR)) regression models were developed in this study. Results The results of the models identified four factors: percentage of the urban population, monthly consumption, number of health workers, and distance from the capital city, as significant risk factors affecting the COVID-19 incidence rates in Bangladesh. Among the four developed models, the GWR model performed the best in explaining the variation of COVID-19 incidence rates across Bangladesh, with an R 2 value of 78.6%. Conclusion Findings and discussions from this research offer a better insight into the COVID-19 situation, which helped discuss policy implications to negotiate the future epidemic crisis. The primary policy response would be to decentralize the urban population and economic activities from and around the capital city, Dhaka, to create self-sufficient regions throughout the country, especially in the north-western region.
Hamidur Rahman; Niaz Mahmud Zafri; Fajle Rabbi Ashik; Waliullah; Asif Khan. Identification of risk factors contributing to COVID-19 incidence rates in Bangladesh: A GIS-based spatial modeling approach. Heliyon 2021, 7, e06260 -e06260.
AMA StyleHamidur Rahman, Niaz Mahmud Zafri, Fajle Rabbi Ashik, Waliullah, Asif Khan. Identification of risk factors contributing to COVID-19 incidence rates in Bangladesh: A GIS-based spatial modeling approach. Heliyon. 2021; 7 (2):e06260-e06260.
Chicago/Turabian StyleHamidur Rahman; Niaz Mahmud Zafri; Fajle Rabbi Ashik; Waliullah; Asif Khan. 2021. "Identification of risk factors contributing to COVID-19 incidence rates in Bangladesh: A GIS-based spatial modeling approach." Heliyon 7, no. 2: e06260-e06260.
Dhaka, the capital and megacity of the developing country Bangladesh, has experienced a sharp rise in motorcycle users in the last decade, especially after the introduction of ridesharing services. Therefore, the morbidity and mortality rates of motorcycle crash injuries have also increased and become one of the major safety concerns. However, there is scant empirical evidence on motorcycle crash severity in the context of developing countries. Hence, this study was conducted to identify the factors that influenced the severity of motorcycle crashes in Dhaka. A binary logistic regression model was developed using motorcycle crash data of Dhaka over the period of 2006–2015 to identify the contributing factors of motorcycle crash severity. The model output showed that eleven factors significantly increased the probability of fatal motorcycle crashes. These factors were crashes occurring on weekends, during the rainy season, during dawn and night period, at non-intersections, on straight and flat roads, on highways, hit pedestrian type crashes, crashes involving motorcycles with no defect, crashes with heavier vehicles, crashes involving motorcyclists not wearing helmets, and drivers with alcohol suspicion. These findings would help to formulate prevention strategies to reduce the injury severity of motorcycle crashes in the developing countries.
Hamidur Rahman; Niaz Mahmud Zafri; Tamanna Akter; Shahrior Pervaz. Identification of factors influencing severity of motorcycle crashes in Dhaka, Bangladesh using binary logistic regression model. International Journal of Injury Control and Safety Promotion 2021, 28, 141 -152.
AMA StyleHamidur Rahman, Niaz Mahmud Zafri, Tamanna Akter, Shahrior Pervaz. Identification of factors influencing severity of motorcycle crashes in Dhaka, Bangladesh using binary logistic regression model. International Journal of Injury Control and Safety Promotion. 2021; 28 (2):141-152.
Chicago/Turabian StyleHamidur Rahman; Niaz Mahmud Zafri; Tamanna Akter; Shahrior Pervaz. 2021. "Identification of factors influencing severity of motorcycle crashes in Dhaka, Bangladesh using binary logistic regression model." International Journal of Injury Control and Safety Promotion 28, no. 2: 141-152.
Though equal and easy accessibility to healthcare facilities are a fundamental right, people of the coastal region often get poor accessibility to healthcare facilities. This research aimed to assess the spatial accessibility to healthcare facilities in the coastal region of Bangladesh. Patuakhali district was selected as the study area. Accessibility to three levels of healthcare facilities: Community Clinic (CC), Upazila Health Complex (UHC) and District Hospital (DH) was measured individually using Geographic Information System (GIS) adopting the simple distance measures. Finally, overall accessibility to healthcare facilities was measured by overlaying accessibility to all three levels of healthcare facilities according to their relative importance. The findings of this study showed that a significant portion (70%) of Patuakhali district had high accessibility to CC; whereas, almost 60% and 40% of the area had poor accessibility to UHC and DH, respectively. Furthermore, 40% and 28% of the area of Patuakhali district had low and high accessibility to overall healthcare facilities, respectively. Furthermore, accessibility to healthcare facilities was found very poor in rural areas, char areas, and seashore. Thereafter, it is recommended to provide an UHC in every upazila and a DH in the southern part of Galachipa upazila to ensure high spatial accessibility of healthcare facilities.
Niaz Mahmud Zafri; Nurullah; Meher Nigar Neema; Waliullah. Spatial accessibility to healthcare facilities in coastal region of Bangladesh. The International Journal of Health Planning and Management 2021, 1 .
AMA StyleNiaz Mahmud Zafri, Nurullah, Meher Nigar Neema, Waliullah. Spatial accessibility to healthcare facilities in coastal region of Bangladesh. The International Journal of Health Planning and Management. 2021; ():1.
Chicago/Turabian StyleNiaz Mahmud Zafri; Nurullah; Meher Nigar Neema; Waliullah. 2021. "Spatial accessibility to healthcare facilities in coastal region of Bangladesh." The International Journal of Health Planning and Management , no. : 1.
Niaz Mahmud Zafri; Atikul Islam Rony; Hamidur Rahman; Neelopal Adri. Comparative risk assessment of pedestrian groups and their road-crossing behaviours at intersections in Dhaka, Bangladesh. International Journal of Crashworthiness 2020, 1 -10.
AMA StyleNiaz Mahmud Zafri, Atikul Islam Rony, Hamidur Rahman, Neelopal Adri. Comparative risk assessment of pedestrian groups and their road-crossing behaviours at intersections in Dhaka, Bangladesh. International Journal of Crashworthiness. 2020; ():1-10.
Chicago/Turabian StyleNiaz Mahmud Zafri; Atikul Islam Rony; Hamidur Rahman; Neelopal Adri. 2020. "Comparative risk assessment of pedestrian groups and their road-crossing behaviours at intersections in Dhaka, Bangladesh." International Journal of Crashworthiness , no. : 1-10.
The outbreak of the COVID-19 pandemic is an unprecedented shock throughout the world which leads to generate a massive social, human, and economic crisis. However, there is a lack of research on geographic modeling of COVID-19 as well as identification of contributory factors affecting the COVID-19 in the context of developing countries. To fulfill the gap, this study aimed to identify the potential factors affecting the COVID-19 incidence rates at the district-level in Bangladesh using spatial regression model (SRM). Therefore, data related to 32 demographic, economic, weather, built environment, health, and facilities related factors were collected and analyzed to explain the spatial variability of this disease incidence. Three global (Ordinary least squares (OLS), spatial lag model (SLM) and spatial error model (SEM)) and one local (geographically weighted regression (GWR)) SRMs were developed in this study. The results of the models showed that four factors significantly affected the COVID-19 incidence rates in Bangladesh. Those four factors are urban population percentage, monthly consumption, number of health workers, and distance from the capital. Among the four developed models, the GWR model performed the best in explaining the variation of COVID-19 incidence rates across Bangladesh with aR2 value of 78.6%. Findings from this research offer a better insight into the COVID-19 situation and would help to develop policies aimed to prevent the future epidemic crisis.
Hamidur Rahman; Niaz Mahmud Zafri; Fajle Rabbi Ashik; Waliullah. GIS-based spatial modeling to identify factors affecting COVID-19 incidence rates in Bangladesh. 2020, 1 .
AMA StyleHamidur Rahman, Niaz Mahmud Zafri, Fajle Rabbi Ashik, Waliullah. GIS-based spatial modeling to identify factors affecting COVID-19 incidence rates in Bangladesh. . 2020; ():1.
Chicago/Turabian StyleHamidur Rahman; Niaz Mahmud Zafri; Fajle Rabbi Ashik; Waliullah. 2020. "GIS-based spatial modeling to identify factors affecting COVID-19 incidence rates in Bangladesh." , no. : 1.
Although the rate of road crashes and their severity is relatively higher in developing countries, there is still a lack of research on pedestrian-vehicle crash severity in these contexts, particularly in Bangladesh. Therefore, this study aimed to identify the contributing environmental, road, and vehicular factors that influenced pedestrian—single-vehicle crash severity in Dhaka, a megacity and the capital of Bangladesh. A binary logistic regression model was developed in this study by analyzing a data set of pedestrian—single-vehicle crashes involving casualties in Dhaka from 2010 to 2015. The model identified seven significant factors influencing pedestrian-vehicle crash severity. Significant factors increasing the likelihood of fatal crashes included crashes during adverse weather, dawn/dusk period, night period (where street light was absent), off-peak period, crashes where road divider was unavailable, road geometry was straight and flat, and crashes those were occurred by heavier vehicles. Besides, crashes at three-legged intersections were less likely to be fatal. Both similarities and differences were found among the significant factors influencing pedestrian-vehicle crash severity in Dhaka from the findings of the developed countries. The findings of this study would help transport engineers and planners to design safer roadways for both pedestrians and vehicles.
Niaz Mahmud Zafri; Ahmed Aflan Prithul; Ivee Baral; Moshiur Rahman. Exploring the factors influencing pedestrian-vehicle crash severity in Dhaka, Bangladesh. International Journal of Injury Control and Safety Promotion 2020, 27, 300 -307.
AMA StyleNiaz Mahmud Zafri, Ahmed Aflan Prithul, Ivee Baral, Moshiur Rahman. Exploring the factors influencing pedestrian-vehicle crash severity in Dhaka, Bangladesh. International Journal of Injury Control and Safety Promotion. 2020; 27 (3):300-307.
Chicago/Turabian StyleNiaz Mahmud Zafri; Ahmed Aflan Prithul; Ivee Baral; Moshiur Rahman. 2020. "Exploring the factors influencing pedestrian-vehicle crash severity in Dhaka, Bangladesh." International Journal of Injury Control and Safety Promotion 27, no. 3: 300-307.
Pedestrian road-crossing strategy is one of the most important pedestrian road-crossing behaviors. The safety of the pedestrians often depends on it. Among the road-crossing strategies, rolling gap crossing strategy is the riskiest one. The objective of this research was to explore the factors that influenced pedestrians’ decision to cross the road by rolling gap crossing at intersection. Data regarding road-crossing strategy of the pedestrians, their characteristics, their road-crossing behavior, intersection geometry, and traffic environmental condition were collected through videography survey method, on-site observation, and secondary source from six intersections of Dhaka, Bangladesh. A binary logistic regression model was developed in this study by using the collected data. Results of the developed model showed that seven statistically significant factors strongly influenced pedestrians’ decision to cross the road by rolling gap crossing at intersections. These factors were intersection control type, median width, vehicle flow, available gap on the road, age group of the pedestrians, their crossing group size, and their behavior of crosswalk usage. The results of this study would help the policymakers to take proper interventions to alleviate pedestrian safety problems.
Niaz Mahmud Zafri; Rashada Sultana; Rakibul Hasan Himal; Tanzila Tabassum. Factors influencing pedestrians’ decision to cross the road by risky rolling gap crossing strategy at intersections in Dhaka, Bangladesh. Accident Analysis & Prevention 2020, 142, 105564 .
AMA StyleNiaz Mahmud Zafri, Rashada Sultana, Rakibul Hasan Himal, Tanzila Tabassum. Factors influencing pedestrians’ decision to cross the road by risky rolling gap crossing strategy at intersections in Dhaka, Bangladesh. Accident Analysis & Prevention. 2020; 142 ():105564.
Chicago/Turabian StyleNiaz Mahmud Zafri; Rashada Sultana; Rakibul Hasan Himal; Tanzila Tabassum. 2020. "Factors influencing pedestrians’ decision to cross the road by risky rolling gap crossing strategy at intersections in Dhaka, Bangladesh." Accident Analysis & Prevention 142, no. : 105564.
The available approaches for measuring accessibility are rigid and complex in nature, and mostly impractical for decision-makers as they require a large number of data, logistics support, and technical knowledge. Therefore, this study seeks to propose a flexible and practical approach for quantifying and ranking the accessibility to market facilities in rural areas. A three-stage multi-criteria decision-making (MCDM) approach is proposed to fulfill the objective. The first stage involves the identification of factors that influence the accessibility to rural market facilities. The next stage involves the use of the Constant-Sum Paired-Comparison Method (CSPCM) to determine the priority of each identified factor. The third stage adopts the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) to quantify and rank the accessibility to market facilities of rural areas. To illustrate a real-world application, accessibility to market facilities in ten sub-districts of Bangladesh have been quantified and ranked by using this proposed approach. Results of this application support the claim that MCDM approach is a practical, flexible, and reliable approach that would better assist the policy-makers to identify poor accessible rural areas.
Niaz Mahmud Zafri; Ishrar Sameen; Anurima Jahangir; Nawshin Tabassum; Musleh Uddin Hasan. A multi-criteria decision-making approach for quantification of accessibility to market facilities in rural areas: an application in Bangladesh. GeoJournal 2020, 86, 1863 -1879.
AMA StyleNiaz Mahmud Zafri, Ishrar Sameen, Anurima Jahangir, Nawshin Tabassum, Musleh Uddin Hasan. A multi-criteria decision-making approach for quantification of accessibility to market facilities in rural areas: an application in Bangladesh. GeoJournal. 2020; 86 (4):1863-1879.
Chicago/Turabian StyleNiaz Mahmud Zafri; Ishrar Sameen; Anurima Jahangir; Nawshin Tabassum; Musleh Uddin Hasan. 2020. "A multi-criteria decision-making approach for quantification of accessibility to market facilities in rural areas: an application in Bangladesh." GeoJournal 86, no. 4: 1863-1879.
The compliance behavior of pedestrians at controlled intersections is an important determinant of the number of crashes involving pedestrians at those intersections. The objective of this study was to explore compliance behavior of the pedestrians at vehicular traffic signals and traffic-police-controlled intersections in Dhaka, Bangladesh. Two types of compliance behavior were examined: compliance with vehicular traffic signals and traffic police direction, and compliance with crosswalk. First, factors influencing each compliance behavior of pedestrians were identified from the existing literature and correlation test results. With those identified factors, two discrete choice models were developed: a multinomial logistic (MNL) model for explaining the compliance behavior with vehicular traffic signals, and traffic police direction and a binary logistic regression (BLR) model for exploring the compliance behavior with crosswalk. The results of the MNL model showed that compliance behavior was significantly associated with intersection control type, gender, crossing group, baggage handling by pedestrian, and vehicle flow. Whereas, the BLR model showed that compliance with crosswalk was significantly influenced by age of the pedestrians, compliance with intersection control direction by pedestrians, and vehicle flow. These findings would help the policy-makers to take countermeasures to alleviate traffic safety related problems.
Niaz Mahmud Zafri; Atikul Islam Rony; Neelopal Adri. Study on Pedestrian Compliance Behavior at Vehicular Traffic Signals and Traffic-Police-Controlled Intersections. International Journal of Intelligent Transportation Systems Research 2019, 18, 400 -411.
AMA StyleNiaz Mahmud Zafri, Atikul Islam Rony, Neelopal Adri. Study on Pedestrian Compliance Behavior at Vehicular Traffic Signals and Traffic-Police-Controlled Intersections. International Journal of Intelligent Transportation Systems Research. 2019; 18 (3):400-411.
Chicago/Turabian StyleNiaz Mahmud Zafri; Atikul Islam Rony; Neelopal Adri. 2019. "Study on Pedestrian Compliance Behavior at Vehicular Traffic Signals and Traffic-Police-Controlled Intersections." International Journal of Intelligent Transportation Systems Research 18, no. 3: 400-411.
Pedestrian crossing speed and waiting time are critical parameters for designing traffic signals and ensuring pedestrian safety. This study aimed to carry out microscopic level research on pedestrian crossing speed and waiting time at intersections in Dhaka. To fulfill this aim, crossing-related data of 560 pedestrians were collected from three intersections in Dhaka using a videography survey method. Descriptive and statistical analyses were carried out, and then two multiple linear regression (MLR) models were developed for these two parameters by using the collected data. From the results, 1.15 m/s was found to be the design pedestrian crossing speed. Results also show that the crossing speed of pedestrians was associated with intersection control type, gender, age, crossing type, crossing group size, compliance behavior with control direction, and crossing location. In case of waiting time, findings show that pedestrians did not want to wait more than 20–30 s to cross the road. Furthermore, the waiting time of the pedestrians varied with intersection control type, gender, age, minimum gap, waiting location, and vehicle flow. Findings of this study will help to alleviate traffic safety problems by designing an effective intersection control system.
Niaz Mahmud Zafri; Atikul Islam Rony; Neelopal Adri. Analysis of Pedestrian Crossing Speed and Waiting Time at Intersections in Dhaka. Infrastructures 2019, 4, 39 .
AMA StyleNiaz Mahmud Zafri, Atikul Islam Rony, Neelopal Adri. Analysis of Pedestrian Crossing Speed and Waiting Time at Intersections in Dhaka. Infrastructures. 2019; 4 (3):39.
Chicago/Turabian StyleNiaz Mahmud Zafri; Atikul Islam Rony; Neelopal Adri. 2019. "Analysis of Pedestrian Crossing Speed and Waiting Time at Intersections in Dhaka." Infrastructures 4, no. 3: 39.