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Tramway dwell time estimation and analysis by using multiple linear regression method

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Mokslines leidybos deimantas, MB

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Dwell time is a significant issue to designate the accurate arrival time and scheduling public transportation system in cities.In the literature, dwell time of bus or light rail transit was studied, but studies focusing on Tramway dwell time are rare.Tramway is one of the most common public transportation systems around the world.In this paper, the Tramway dwell time is modeled by using multiple linear regression analysis.The data are collected from the kabataş bağcılar tramway in Istanbul-Turkey.The line covers a lot of touristic allocations and important locations in the city and generally the passenger demand is very high.The number of observations from eleven stations of this line is 171.Two separated models for weekdays and weekends include wagon occupancy, platform occupancy, the number of people who are alighting and boarding, time spent by the driver and peak hours and off-peak hours on weekdays and on weekends.The results show that between the dummy variables, the platform occupancy in the high level has more influence on tramway dwell time than wagon occupancy in the high level on weekdays, but it is vice versa on weekends.Between continues variables, in both weekdays and weekends models, the time spent by the driver has the most impact on tramway dwell time.The number of passengers who are alighting on weekdays and number of passengers who are boarding on the weekends has the least effect on the tramway dwell time.In this study, by considering the results, there are some significant policies suggested for policymakers to reduce the dwell time of tramway. IntroductionsIn this day and age, due to urban sprawl and increasing urbanization and travel demand in metropolitan cities, a wellorganized public transportation system is required.One of the public transportation systems that can be used in metropolitan cities is tramway.In general, comfort and capacity of tramway is more than the bus ; also access to tramway stations is more accessible than subway stations which placed underground.
Dwell time is a significant issue to designate the accurate arrival time and scheduling public transportation system in cities.In the literature, dwell time of bus or light rail transit was studied, but studies focusing on Tramway dwell time are rare.Tramway is one of the most common public transportation systems around the world.In this paper, the Tramway dwell time is modeled by using multiple linear regression analysis.The data are collected from the kabataş bağcılar tramway in Istanbul-Turkey.The line covers a lot of touristic allocations and important locations in the city and generally the passenger demand is very high.The number of observations from eleven stations of this line is 171.Two separate models for weekdays and weekends include wagon occupancy, platform occupancy, the number of people who are alighting and boarding, time spent by the driver and peak hours and off-peak hours on weekdays and on weekends.The results show that between the dummy variables, the platform occupancy in the high level has more influence on tramway dwell time than wagon occupancy in the high level on weekdays, but it is vice versa on weekends.Between continues variables, in both weekdays and weekends models, the time spent by the driver has the most impact on tramway dwell time.The number of passengers who are alighting on weekdays and number of passengers who are boarding on the weekends has the least effect on the tramway dwell time.In this study, by considering the results, there are some significant policies suggested for policymakers to reduce the dwell time of tramway. IntroductionsIn this day and age, due to urban sprawl and increasing urbanization and travel demand in metropolitan cities, a wellorganized public transportation system is required.One of the public transportation systems that can be used in metropolitan cities is tramway.In general, comfort and capacity of tramway is more than the bus; also access to tramway stations is more accessible than subway stations which placed underground.
Dwell time is a significant issue to designate the accurate arrival time and scheduling public transportation system in cities.In the literature, dwell time of bus or light rail transit was studied, but studies focusing on Tramway dwell time are rare.Tramway is one of the most common public transportation systems around the world.In this paper, the Tramway dwell time is modeled by using multiple linear regression analysis.The data are collected from the kabataş bağcılar tramway in Istanbul-Turkey.The line covers a lot of touristic allocations and important locations in the city and generally the passenger demand is very high.The number of observations from eleven stations of this line is 171.Two separate models for weekdays and weekends include wagon occupancy, platform occupancy, the number of people who are alighting and boarding, time spent by the driver and peak hours and off-peak hours on weekdays and on weekends.The results show that between the dummy variables, the platform occupancy in the high level has more influence on tramway dwell time wagon occupancy in the high level on weekdays, but it is viceversa on weekends.Between continues variables, in both weekdays and weekends models, the time spent by the driver has the most impact on tramway dwell time.The number of passengers who are alighting on weekdays and number of passengers who are boarding on the weekends has the least effect on the tramway dwell time.In this study, by considering the results, there are some significant policies suggested for policymakers to reduce the dwell time of tramway. IntroductionsIn this day and age, due to urban sprawl and increasing urbanization and travel demand in metropolitan cities, a wellorganized public transportation system is required.One of the public transportation systems that can be used in metropolitan cities is tramway.In general, comfort and capacity of tramway is more than the bus; also access to tramway stations is more accessible than subway stations which placed underground.
Dwell time is a significant issue to designate the accurate arrival time and scheduling public transportation system in cities.In the literature, dwell time of bus or light rail transit was studied, but studies focusing on Tramway dwell time are rare.Tramway is one of the most common public transportation systems around the world.In this paper, the Tramway dwell time is modeled by using multiple linear regression analysis.The data are collected from the kabataş bağcılar tramway in Istanbul-Turkey.The line covers a lot of touristic allocations and important locations in the city and generally the passenger demand is very high.The number of observations from eleven stations of this line is 171.Two separate models for weekdays and weekends include wagon occupancy, platform occupancy, the number of people who are alighting and boarding, time spent by the driver and peak hours and off-peak hours on weekdays and on weekends.The results show that between the dummy variables, the occupancy in the high level has more influence on tramway dwell time than wagon occupancy in the high level on weekdays, but it is vice versa on weekends.Between continues variables, in both weekdays and weekends models, the time spent by the driver has the most impact on tramway dwell time.The number of passengers who are alighting on weekdays and number of passengers who are boarding on the weekends has the least effect on the tramway dwell time.In this study, by considering the results, there are some significant policies suggested for policymakers to reduce the dwell time of tramway. IntroductionsIn this day and age, due to urban sprawl and increasing urbanization and travel demand in metropolitan cities, a wellorganized public transportation system is required.One of the public transportation systems that can be used in metropolitan cities is tramway.In general, comfort and capacity of tramway is more than the bus; also access to tramway stations is more accessible than subway stations which placed underground.
يعد وقت المكوث مشكلة مهمة لتحديد وقت الوصول الدقيق وجدولة نظام النقل العام في المدن. في الأدبيات، تمت دراسة وقت مكوث الحافلات أو النقل بالسكك الحديدية الخفيفة، لكن الدراسات التي تركز على وقت مكوث الترام نادرة. يعد الترام أحد أكثر أنظمة النقل العام شيوعًا في جميع أنحاء العالم. في هذه الورقة، الترام يتم نمذجة وقت الإقامة باستخدام تحليل الانحدار الخطي المتعدد. يتم جمع البيانات من ترام كاباتاش باغجيلار في اسطنبول - تركيا. يغطي الخط الكثير من المخصصات السياحية والمواقع المهمة في المدينة وعمومًا يكون طلب الركاب مرتفعًا جدًا. عدد الملاحظات من إحدى عشرة محطة من هذا الخط هو 171. يشمل نموذجان منفصلان لأيام الأسبوع وعطلات نهاية الأسبوع إشغال العربات، وإشغال المنصة، وعدد الأشخاص الذين ينزلون ويصعدون على متنها، والوقت الذي يقضيه السائق وساعات الذروة وساعات الذروة في أيام الأسبوع وعطلات نهاية الأسبوع. تظهر النتائج أنه بين المتغيرات الوهمية، فإن الإشغال في المستوى العالي له تأثير أكبر على وقت الإقامة في الترام من إشغال العربات في المستوى العالي في أيام الأسبوع، ولكن العكس صحيح في عطلات نهاية الأسبوع. بين المتغيرات المستمرة، في كل من أيام الأسبوع ونماذج عطلات نهاية الأسبوع، يكون للوقت الذي يقضيه السائق أكبر تأثير على وقت الإقامة في الترام. عدد الركاب الذين ينزلون في أيام الأسبوع وعدد الركاب الذين يصعدون في عطلات نهاية الأسبوع له أقل تأثير على وقت الإقامة في الترام. في هذه الدراسة، من خلال النظر في النتائج، هناك بعض السياسات الهامة المقترحة لصانعي السياسات لتقليل وقت الإقامة في الترام. في هذا اليوم وهذا العصر، وبسبب الزحف العمراني وزيادة التحضر والطلب على السفر في المدن الكبرى، هناك حاجة إلى نظام نقل عام جيد التنظيم. أحد أنظمة النقل العام التي يمكن استخدامها في المدن الكبرى هو الترام. بشكل عام، فإن الراحة وسعة الترام أكثر من الحافلة ؛ كما أن الوصول إلى محطات الترام يمكن الوصول إليه بسهولة أكبر من محطات المترو التي وضعت تحت الأرض.

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European Journal of Engineering Science and Technology

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Clinical psychology, Aerospace Engineering, FOS: Mechanical engineering, Ocean Engineering, Radar Wave Propagation and Refractivity Estimation, Engineering, FOS: Mathematics, Civil engineering, Linear regression, Speech Enhancement Techniques, Refractivity Estimation, Maritime Transportation Safety and Risk Analysis, Statistics, Occupancy, Transport engineering, Dwell time, Computer science, Physical Sciences, Signal Processing, Computer Science, Medicine, Public transport, Regression analysis, Mathematics, FOS: Civil engineering

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