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Spatiotemporal exploration of the non-linear impacts of accessibility on metro ridership

Journal of Transport Geography, 2022
Identifying the determinants of metro ridership is essential for metro planning and passenger flow management. However, few studies to date have empirically examined how accessibility affects metro ridership and even fewer have emphasized the non-linear impacts from a spatiotemporal perspective.
Libiao Bai
exaly   +3 more sources

Physical-Virtual Collaboration Modeling for Intra- and Inter-Station Metro Ridership Prediction [PDF]

open access: yesIEEE Transactions on Intelligent Transportation Systems, 2022
Due to the widespread applications in real-world scenarios, metro ridership prediction is a crucial but challenging task in intelligent transportation systems. However, conventional methods either ignore the topological information of metro systems or directly learn on physical topology, and cannot fully explore the patterns of ridership evolution.
Lingbo Liu, Hefeng Wu, Jiajie Zhen
exaly   +3 more sources

An analysis of Metro ridership at the station-to-station level in Seoul

Transportation, 2011
While most aggregate studies of transit ridership are conducted at either the stop or the route level, the present study focused on factors affecting Metro ridership in the Seoul metropolitan area at the station-to-station level. The station-to-station analysis made it possible to distinguish the effect of origin factors on Metro ridership from that of
Taewan ­Kim, Keemin Sohn
exaly   +3 more sources

Study of Distribution of Weekly Metro Ridership of Xi'an Metro

CICTP 2014, 2014
Ridership is a significant indicator of the operation status of an urban metro network. This paper analyzes the distribution of daily ridership in a week and the influencing factors by using a regression model of average daily ridership in a week built by daily ridership of Xi'an Metro. The impact degree of every factor is quantified. In the end, major
Si-ran Tao, Kuan-min Chen, Chao-qun Ma
openaire   +1 more source

Short-Term Metro Ridership Prediction During Unplanned Events

Transportation Research Record: Journal of the Transportation Research Board, 2021
Unplanned events present significant challenges for operations and management in metro systems. Short-term ridership prediction can help agencies to better design contingency strategies under unplanned events. Though many short-term prediction methods have been proposed in the literature, most studies focused on typical situations or planned events ...
Yangyang Zhao   +3 more
openaire   +2 more sources

Does Transit-Oriented Development Affect Metro Ridership?

Transportation Research Record: Journal of the Transportation Research Board, 2008
A study was done to confirm the advantages of transit-oriented development (TOD) in increasing transit ridership and dispersing transit ridership distribution in a timely manner. To examine how the built environment of TOD influences the level and temporal distribution of metro ridership, 46 metro stations in Taipei City, Taiwan, China, were used as a
Lin, Jen-Jia, Shin, Ting-Yu
openaire   +2 more sources

Contextual anomaly detection on time series: a case study of metro ridership analysis

Neural Computing and Applications, 2021
The increase in the amount of data collected in the transport domain can greatly benefit mobility studies and create high value-added mobility information for passengers, data analysts, and transport operators. This work concerns the detection of the impact of disturbances on a transport network.
Pasini, Kevin   +4 more
openaire   +3 more sources

The Influence of Megatren System on Ridership in Metro Manila

International Journal of u- and e-Service, Science and Technology, 2015
The inauguration of the Metro Rail Transit (MRT-2) or Megatren in line 2 with a total length of about 13.8 km and run from Santolan, Pasig City to Recto in Manila marked the comeback of the train as an important passenger mode of transport in the Philippines.
openaire   +1 more source

A station-level ridership model for the metro network in Montreal, Quebec

Canadian Journal of Civil Engineering, 2013
The development of a successful transit system must include a demand ridership analysis during the planning stage.
Sabrina Chan, Luis Miranda-Moreno
openaire   +1 more source

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