Public Transport Capacity Analysis Procedures for Developing Cities
Data set #3 – Vehicle Capacity (rail)
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- Data set 4 – Ticket Vending Machine Service Time
- Data set 5 – Rail Station Dwell Time and Headway Distribution
Data set #3 – Vehicle Capacity (rail)This study would be similar to that of the bus capacity discussed previously. On trainsets, it would be useful to differentiate between trains in which customers can easily move from one car to another (open “vestibule” trains) and those in which they cannot. The ability to “disperse” in this way tends to lower loading diversity and thus increases effective capacity, while utilizing the protected space between cars in this type of train (e.g., in Hong Kong, other Chinese cities, Paris Meteor Line,) for standees also increases effective capacity. Collection method: A data collection effort in which stationary observers on station platforms observe the density of departing trains from the beginning station of the maximum load segment. The data collection would focus on the variation in density along the length of the train. The same staffing plan used for estimating rail platform capacity (one observer for every two cars) would be used for train set capacity. A data collection form is shown as Exhibit C-3. This study would be similar to that of the bus capacity discussed previously. Data set #4 – Ticket Vending Machine Service TimeThis would be a very simple study to estimate the service time distribution of ticket vending machine transactions. Collection method: Using a stopwatch an observation would be made of the start time and the end time of a number of TVM transactions. If possible, the method of payment (cash or card) would also be recorded. About 100 observations per transaction type would be sufficient to make an estimate of the mean and distribution of the transaction time. A data collection form is shown as Exhibit C-4. TVM Transaction Time Data Form
Figure C.4 TVM Transaction Time Data Form Data set #5 – Rail Station Dwell Time and Headway DistributionThis data collection activity is to estimate the dwell time and headway distribution of a rail transit system. This should be done at the critical stop on a rail system – the one with the highest value of mean dwell time plus two standard deviations. Collection method: The data collection method is rather straightforward. The dwell time is measured from the time that the vehicle comes to a complete stop until the time that the train starts moving. The arrival time is the time that the arriving train comes to a complete stop. A data collection form is shown as Exhibit C-5. Rail Headway and Dwell Time Data Form
Figure C.5 Rail Headway and Dwell Time Data Form Directory: curated curated -> Concept stage curated -> Concept stage curated -> Republic of Côte d'Ivoire Urbanization Review curated -> Report No: aus11011 Central America curated -> Report No. 94474-pk fiscal Disaster Risk Assessment Options for Consideration curated -> Environmental and Social Management Framework for the Costa Rica Telecommunications Sector Modernization Project curated -> Environment Impact Assessment For Jiangxi Shangrao Sanqingshan Airport Beijing Guohuantiandi Environmental Technology Development Center. Ltd. Oct. 2012 Content curated -> Growth through Innovation An Industrial Strategy for Shanghai By Shahid Yusuf Kaoru Nabeshima April 22nd, 2009 curated -> Report No: 70178. People's Republic of China Download 2.52 Mb. Share with your friends:
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