Results 21 to 30 of about 1,856 (116)
Approaches, technologies and importance of analysis of the number of train travellers
Several studies have pointed to the difficulties of obtaining good data on train ridership. This paper is a literature review on how the number of travellers on trains are measured, including technologies and practices for measuring actual ridership ...
Anette Ø. Sørensen +3 more
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This study aims to determine the effect of service quality, service recovery, and brand image on ridership loyalty through rider satisfaction among MRT Jakarta users.
Muhammad Iqbal Firdaus +3 more
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Where to Put Bike Counters? Stratifying Bicycling Patterns in the City Using Crowdsourced Data
When designing bicycle count programs, it can be difficult to know where to locate counters to generate a representative sample of bicycling ridership.
Vanessa Brum-Bastos +3 more
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Bus Ridership Prediction Based on Fixed-effects Model [PDF]
In order to predict the urban bus ridership more accurately, this study focuses on the impact of social and economic factors and the supply service level of buses on urban bus ridership.
Shao Chenyang
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The impact of COVID-19 and related containment measures on Bangkok’s public transport ridership
The COVID-19 pandemic and related measures used to contain its spread affected public transport ridership in cities around the world. In Thailand, the government issued 41 Royal Decrees between April 2020 and December 2021 to mitigate the spread of the ...
Somsiri Siewwuttanagul +1 more
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As the backbone of passenger transportation in many large cities around the world, it is particularly important to explore the association between the built environment and metro ridership to promote the construction of smart cities.
Hong Yang +4 more
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Direct ridership models can predict station-level urban rail transit ridership. Previous research indicates that the direct modeling of urban rail transit ridership uses different coverage overlapping area processing methods (such as naive method or ...
Hongtai Yang +6 more
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How change of public transportation usage reveals fear of the SARS virus in a city. [PDF]
The outbreaks of the severe acute respiratory syndrome (SARS) epidemic in 2003 resulted in unprecedented impacts on people's daily life. One of the most significant impacts to people is the fear of contacting the SARS virus while engaging daily routine ...
Kuo-Ying Wang
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Investigating the potential of aggregated mobility indices for inferring public transport ridership changes. [PDF]
Aggregated mobility indices (AMIs) derived from information and communications technologies have recently emerged as a new data source for transport planners, with particular value during periods of major disturbances or when other sources of mobility ...
Lizana M, Choudhury C, Watling D.
europepmc +2 more sources
Prediction of "L" Train’s Daily Ridership in Downtown Chicago During the COVID-19 Pandemic
In this study, we utilized a random forest model to predict the "L" train’s daily ridership in the Chicago downtown area during the pandemic based on environmental, transportation, and COVID-19-related factors.
Amin Azimian, Junfeng Jiao
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