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Artykuły w czasopismach na temat "Overcrowding in Buses"
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Agrawal, Kinshuk, Hemant K. Suman i Nomesh B. Bolia. "Frequency Optimization Models for Reducing Overcrowding Discomfort". Transportation Research Record: Journal of the Transportation Research Board 2674, nr 5 (23.04.2020): 160–71. http://dx.doi.org/10.1177/0361198120912230.
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One of the most important aspects of improving public bus transport attractiveness is reducing overcrowding in buses. However, most of the mathematical models that focus on designing bus services minimize the total social cost without considering the overcrowding discomfort. Further, they are mostly non-linear in nature and use heuristic and meta-heuristic approaches. Thus, they are difficult to understand and use by practitioners. This work addresses these gaps through models that include overcrowding discomfort and are also easy to implement and contextualize by practitioners. The authors develop one non-linear and two linear models to determine the optimum frequency of buses and apply them over a network of 34 routes of Delhi. The results reveal that the existing number of buses in Delhi is not sufficient to cater to the existing travel demand of peak hours, even after their optimum allocation. The authors also present a step-by-step procedure to enable practitioners to determine the minimum additional number of buses required to reduce the target discomfort and waiting time.
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Suman, Hemant Kumar, i Nomesh B. Bolia. "Mitigation of overcrowding in buses through bus planning". Public Transport 11, nr 1 (25.04.2019): 159–87. http://dx.doi.org/10.1007/s12469-019-00197-x.
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Varghese, Varun, i Bhargav Adhvaryu. "Measuring Overcrowding in Ahmedabad Buses: Costs and Policy Implications". Transportation Research Procedia 17 (2016): 145–54. http://dx.doi.org/10.1016/j.trpro.2016.11.070.
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Mtonga, Kambombo, Santhi Kumaran, Chomora Mikeka, Kayalvizhi Jayavel i Jimmy Nsenga. "Machine Learning-Based Patient Load Prediction and IoT Integrated Intelligent Patient Transfer Systems". Future Internet 11, nr 11 (12.11.2019): 236. http://dx.doi.org/10.3390/fi11110236.
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A mismatch between staffing ratios and service demand leads to overcrowding of patients in waiting rooms of health centers. Overcrowding consequently leads to excessive patient waiting times, incomplete preventive service delivery and disgruntled medical staff. Worse, due to the limited patient load that a health center can handle, patients may leave the clinic before the medical examination is complete. It is true that as one health center may be struggling with an excessive patient load, another facility in the vicinity may have a low patient turn out. A centralized hospital management system, where hospitals are able to timely exchange patient load information would allow excess patient load from an overcrowded health center to be re-assigned in a timely way to the nearest health centers. In this paper, a machine learning-based patient load prediction model for forecasting future patient loads is proposed. Given current and historical patient load data as inputs, the model outputs future predicted patient loads. Furthermore, we propose re-assigning excess patient loads to nearby facilities that have minimal load as a way to control overcrowding and reduce the number of patients that leave health facilities without receiving medical care as a result of overcrowding. The re-assigning of patients will imply a need for transportation for the patient to move from one facility to another. To avoid putting a further strain on the already fragmented ambulatory services, we assume the existence of a scheduled bus system and propose an Internet of Things (IoT) integrated smart bus system. The developed IoT system can be tagged on buses and can be queried by patients through representation state transfer application program interfaces (APIs) to provide them with the position of the buses through web app or SMS relative to their origin and destination stop. The back end of the proposed system is based on message queue telemetry transport, which is lightweight, data efficient and scalable, unlike the traditionally used hypertext transfer protocol.
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Silva, Ricardo, Soong Moon Kang i Edoardo M. Airoldi. "Predicting traffic volumes and estimating the effects of shocks in massive transportation systems". Proceedings of the National Academy of Sciences 112, nr 18 (20.04.2015): 5643–48. http://dx.doi.org/10.1073/pnas.1412908112.
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Public transportation systems are an essential component of major cities. The widespread use of smart cards for automated fare collection in these systems offers a unique opportunity to understand passenger behavior at a massive scale. In this study, we use network-wide data obtained from smart cards in the London transport system to predict future traffic volumes, and to estimate the effects of disruptions due to unplanned closures of stations or lines. Disruptions, or shocks, force passengers to make different decisions concerning which stations to enter or exit. We describe how these changes in passenger behavior lead to possible overcrowding and model how stations will be affected by given disruptions. This information can then be used to mitigate the effects of these shocks because transport authorities may prepare in advance alternative solutions such as additional buses near the most affected stations. We describe statistical methods that leverage the large amount of smart-card data collected under the natural state of the system, where no shocks take place, as variables that are indicative of behavior under disruptions. We find that features extracted from the natural regime data can be successfully exploited to describe different disruption regimes, and that our framework can be used as a general tool for any similar complex transportation system.
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Surmařová, Simona, Martin Vrána i Jan Ilík. "Travel behaviour changes during the pandemic: Prague-Pilsen rail case study". Review of Economic Perspectives 22, nr 4 (1.12.2022): 317–32. http://dx.doi.org/10.2478/revecp-2022-0015.
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Abstract The COVID-19 pandemic has affected many aspects of our everyday lives. Governments have taken numerous measures to contain the spread of the pandemic, which has had a direct impact on daily mobility, modal choice and the function of public transport. This study uses quantitative and qualitative data to describe how the pandemic influenced travel on the Prague-Pilsen (Praha-Plzeň) railway line. The results of the case study on the Prague-Pilsen railway line are consistent with experiences in other countries. 38% decrease in passenger numbers was found between 2019 and 2020. Although numbers are increasing again, they still have not reached the pre-pandemic level. The number of connections has also decreased by a third on average (2019 to 2020). We also conducted in-depth interviews with train passengers on the above-mentioned route. Two-thirds of passengers stated that the frequency of their journeys had not been affected by the pandemic. However, like the other participants, they described other changes caused by the pandemic. Fear of infection played an important role, and the inconvenience of overcrowding was mentioned several times. The switch from buses to trains was mentioned, as was the fact that more and more travellers prefer to travel first class. In some cases, changes in the temporality of trips were also documented. The survey suggests that respondents travel less frequently by train for systematic, functional, health or social reasons.
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Nurlaela, Siti, i Andrew William. "TransJakarta Service Evaluation in Controlling COVID-19 Transmission Using Twitter Sentiment Analysis". Journal of Regional and City Planning 34, nr 2 (18.08.2023): 156–74. http://dx.doi.org/10.5614/jpwk.2023.34.2.2.
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This study attempted to understand passenger perception of using public transport by utilizing Twitter data about the services of the TransJakarta Busway. Tweets were the main data source to capture users’ responses toward these services. Users’ perceptions were analyzed by sentiment analysis using a naïve Bayes algorithm. Furthermore, content analysis was used to inform improvements in service maintenance. The findings showed that the pandemic had a major impact on TransJakarta services, from a decrease in users, route closures, and fleet reductions to changes in user behavior. Most Tweets were negative regarding (1) poor bus frequency, leading to long queues and passenger overcrowding at bus stops and inside buses; (2) failure to maintain social distancing measures; (3) frequent violations of the 50% bus capacity reduction during peak hours, and showing a lack of consideration in measuring demand size during peak hours; (4) staff’s weak control of implementing the health protocol exacerbated poor services. This study suggests service improvement based on peak hour demand analysis to offset the implications of a 50% capacity restriction by providing proper bus frequencies and headway arrangements considerable enough to avoid crowding, followed by optimal monitoring of health protocol by staff. Tweet data may inform poor management in controlling the transmission of COVID-19 on public transportation. Hence, using Twitter data could replace conventional data collection methods like user interviews. Beneficial information from Tweet data can be captured at relatively low costs. Therefore, it may aid the evaluation of PPKM policy implementation to create more resilient public transportation during pandemics.
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Camargo, Julián, Luis González, Diego Segura, Fabian Garay i Nubia Rincón. "Orientación de Pasajeros con Discapacidad Visual dentro del Sistema de Transporte Masivo Transmilenio, mediante Geolocalización Satelital". Ingeniería 22, nr 2 (5.05.2017): 283. http://dx.doi.org/10.14483/udistrital.jour.reving.2017.2.a08.
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Context: Although the mass-transport system Transmilenio provides audio information for travelers’ guidance, this is not helpful enough to blind users who are not able to transit easily within the system. For these reason, portable guidance devices are needed to improve the level of autonomy of the visually impaired people while using the transport system.Method: A review of aid devices to improve the level of autonomy of people with visual impairment was conducted so as to define the most practical technology for building an affordable device usable in the city of Bogotá. Subsequently, the functional modules of the device were defined, including file storage, sound reproduction, user interface and satellite geolocalization and location. Once built, the operation of the device was tested with 10 volunteers in condition of visual impairment who were oriented with the device between two main stations of one Transmilenio line; a final statistical study was conducted on the operation and usability perception of the device by the users.Results: 100% of the users were able to reach their destination successfully in the pilot test. In regards to the usability perception, users highlighted features such as sound indications for setting the device and orientation guidance throughout the journey. On the other hand, one of the main difficulties found was to correctly identify the bus approaching the stop and similarly locating the corresponding boarding door, as multiple bus routes may alight in the same door.Conclusions: The device was built incorporating low-cost technologies intended to make it affordable in an eventual mass—scale production. Likewise, a discreet design was chosen so as to lessen the risk of robbery, which unfortunately is a frequent issue in the Transmilenio system due to overcrowding of buses and stations. Additionally, we remark that the prototype can be made smaller by using special—purpose circuit boards. Policy-makers may take into account these considerations for an eventual wide implementation as part of governments’ plans for mobility inclusion in mass-transport systems for disabled people, in comparison with other alternatives such as smart cell phonesLanguage: Spanish.
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GIRMA, Mulugeta, i Berhanu WOLDETENSAE. "PASSENGERS’ PERCEPTIONS ON SECURITY AND SAFETY IN PUBLIC TRANSPORTATION IN ETHIOPIA: A CASE STUDY OF ADDIS ABABA". Scientific Journal of Silesian University of Technology. Series Transport 113 (1.12.2021): 61–73. http://dx.doi.org/10.20858/sjsutst.2021.113.5.
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Due to its low fares, public bus transportation as a means of urban road mobility is a popular choice, particularly among city inhabitants. However, owing to its high level of crowdedness, it poses a greater risk of security and safety, particularly during peak hours. Moreover, passengers have continued to voice their dissatisfaction about the services offered, as well as the criminality that occurs in the station and on the bus. The problem is exacerbated in developing countries due to increased travel demand and a lack of appropriate and integrated solutions. Consequently, the purpose of this study is to evaluate commuters' perceptions of their concerns about using public bus transportation in the city, with an emphasis on security and safety in bus operations. A questionnaire survey was used to obtain data from 500 users in the city for the study. Using the SPSS software, the data was analyzed. To find out what they think, a descriptive analysis was used. Overcrowding of buses, personal insecurity, and infrequent bus service are the three biggest concerns in using public bus transportation in the city, according to the results. Furthermore, most of the respondents were concerned about crime; specifically, pickpockets, inappropriate touching, and disrespectful language of drivers and conductors are the three top types of crime that concern passengers who use public bus transportation in the city. Additionally, most people felt more insecure while riding the bus and getting on/off the bus, particularly in the evening and between 9:00 and 12:00 p.m. local time. Thus, it is advised that the Addis Ababa City Transport Authority, the Public Bus Transport Enterprise, and other interested parties place a strong emphasis on security and safety when providing public transportation in the city. Furthermore, it is critical to perform regular victim surveys of passengers (as well as operators) to establish whether they have been criminally victimized on the bus system and by what type of crime. Equally important, regularly assess the likely usefulness of new crime prevention measures for reducing bus-related offenses and prepare an annual bus crime reduction strategy.
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Taranum, Arshiya, Satya Reddy, Muhammed Muntazeem G. i Bhaskar Kurre. "Factors associated with open air defecation in a rural field practice area of a medical college: a cross sectional study". International Journal Of Community Medicine And Public Health 7, nr 3 (27.02.2020): 909. http://dx.doi.org/10.18203/2394-6040.ijcmph20200939.
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Background: Open defecation is the practice where people go out in fields, bushes, forests, open bodies of water or other open spaces rather than using the toilet to defecate. The health hazards due open air defecation are soil and water pollution, contamination of foods and propagation of flies which results in the spread of diseases like typhoid, cholera, dysenteries, diarrheas, hookworm diseases, ascariasis, viral hepatitis and other intestinal infections.Methods: A cross sectional study was conducted at Singanodi village. 122 houses were selected for interview. One member from each household, preferably the head of the family was interviewed. The questionnaire included the socio-demographic features, practices about sanitary latrine usage and awareness about the diseases due to open air defecation. Data was entered in MS Excel and analysed using SPSS vs 20.Results: In the study the prevalence of open air defecation was found to be 63.1%. Majority of the study participants (52.5%) had sanitary latrines in their houses. 15.6% of the household practices open air defecation in spite of having toilets in their homes. Significant association was found between education and overcrowding with open air defecation.Conclusions: The study reinforces the importance of creating awareness about the importance of sanitary latrines and involvement of Government, NGO and communities is essential to stop open air defecation practices.
Rozprawy doktorskie na temat "Overcrowding in Buses"
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Suman, Hemant Kumar. "Improving attractiveness of public bus transport for existing and potential bus users". Thesis, 2018. http://eprint.iitd.ac.in:80//handle/2074/7971.
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