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The effect of slow zones on ridership: An analysis of the Chicago Transit Authority “El” Blue Line. (2016). Bernal, Margarita ; Sriraj, P S ; Welch, Eric W.
In: Transportation Research Part A: Policy and Practice.
RePEc:eee:transa:v:87:y:2016:i:c:p:11-21.

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  1. Impacts of COVID-19 on urban rail transit ridership using the Synthetic Control Method. (2021). Zhao, HU ; Feng, Shumin ; Shalaby, Amer ; Xin, Mengwei.
    In: Transport Policy.
    RePEc:eee:trapol:v:111:y:2021:i:c:p:1-16.

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  2. Applying affective event theory to explain transit users’ reactions to service disruptions. (2019). , Harry ; Mailer, Markus ; Kaplan, Sigal ; Sarker, Rumana Islam.
    In: Transportation Research Part A: Policy and Practice.
    RePEc:eee:transa:v:130:y:2019:i:c:p:593-605.

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  44. The effect of slow zones on ridership: An analysis of the Chicago Transit Authority “El” Blue Line. (2016). Bernal, Margarita ; Sriraj, P S ; Welch, Eric W.
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  50. Measuring transit use variability with smart-card data. (2007). Agard, Bruno ; Trepanier, Martin ; Morency, Catherine.
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