Measuring transit use variability with smart-card data

By Catherine Morency, Martin Trépanier, Bruno Agard. 2007

309 citations recorded by the source corpus.

Subfields: Transportation

View Paper: https://www.semanticscholar.org/paper/00b04b99ed73014c2a82e7c4c5d358f5716d1b1f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Transportation

1. Yunpeng Wang
2. Xiaolei Ma
3. Yinhai Wang
4. Bin Guo
5. Huimin Wen
6. Zhu Wang
7. Zhiwen Yu
8. Yao-Jan Wu

Citations in the corpus

• Understanding commuting patterns using transit smart card data (2017, methodology): “Morency et al. (2007) applied data mining techniques to examine the spatial and temporal variability of transit use based on smart card data.”
• Mobile Crowd Sensing and Computing (2015, background): “Morency et al. [2007] investigated the spatiotemporal dynamics (e.g., examining the effects of weather on transit demand) of public transportation networks based on bus boarding records in Canada.”
• Mining smart card data for transit riders’ travel patterns (2013, background): “Kitamura et al. (2006) and Morency et al. (2006, 2007) utilized multiple day smart card data to analyze transit riders’ travel variability and pointed out that developing a better understanding of travel variability can help reduce operational costs and manage demand.”