Using smart card data to model commuters’ responses upon unexpected train delays

Using smart card data to model commuters’ responses upon unexpected train delays

The mass rapid transit (MRT) network is playing an increasingly important role in Singapore's transit network, thanks to its advantages of higher capacity and faster speed. Unfortunately, due to aging infrastructure, increasing demand, and other reasons like adverse weather condition, commuters...

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Bibliographic Details
Main Authors: TIAN, Xiancai, ZHENG, Baihua
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2018
Subjects:
Mass Rapid Transit
unexpected train delays
smart card data
trip chains
individual travel patterns
clustering
DBSCAN
feature engineering
response modeling
feature insights
Databases and Information Systems
Numerical Analysis and Scientific Computing
Transportation
Online Access:https://ink.library.smu.edu.sg/sis_research/4208
https://ink.library.smu.edu.sg/context/sis_research/article/5211/viewcontent/Usingt_Smart_Card_Data_to_Model_Commuters__Response___Upon_Unexpected_Train_Delays__Camera_Ready___1_.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/4208
https://ink.library.smu.edu.sg/context/sis_research/article/5211/viewcontent/Usingt_Smart_Card_Data_to_Model_Commuters__Response___Upon_Unexpected_Train_Delays__Camera_Ready___1_.pdf

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