From bf9e337da339c77fb5d8a0f908e159a4384d1211 Mon Sep 17 00:00:00 2001
From: Luis Pabon <54373051+L-pabon@users.noreply.github.com>
Date: Mon, 21 Oct 2024 18:01:09 -0700
Subject: [PATCH] Update ASL_Bib.bib

---
 _bibliography/ASL_Bib.bib | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/_bibliography/ASL_Bib.bib b/_bibliography/ASL_Bib.bib
index 418ee567..db388222 100755
--- a/_bibliography/ASL_Bib.bib
+++ b/_bibliography/ASL_Bib.bib
@@ -3322,7 +3322,7 @@ @article{LanzettiSchifferEtAl2024
   number    = {3},
   pages     = {1478-1490},
   year      = {2024},
-  abstract  = {Worldwide, cities struggle with overloaded transportation systems and their externalities. The emerging autonomous transportation technology has the potential to alleviate these issues, but the decisions of profit-maximizing operators running large autonomous fleets could negatively impact other stakeholders and the transportation system. An analysis of these tradeoffs requires modeling the modes of transportation in a unified framework. In this article, we propose such a framework, which allows us to study the interplay among mobility service providers (MSPs), public transport authorities, and customers. Our framework combines a graph-theoretic network model for the transportation system with a game-theoretic market model in which MSPs are profit maximizers while customers select individually optimal transportation options. We apply our framework to data for the city of Berlin and present sensitivity analyses to study parameters that MSPs or municipalities can strategically influence. We show that autonomous ride-hailing systems may cannibalize a public transportation system, serving between 7% and 80% of all customers, depending on market conditions and policy restrictions.}
+  abstract  = {Worldwide, cities struggle with overloaded transportation systems and their externalities. The emerging autonomous transportation technology has the potential to alleviate these issues, but the decisions of profit-maximizing operators running large autonomous fleets could negatively impact other stakeholders and the transportation system. An analysis of these tradeoffs requires modeling the modes of transportation in a unified framework. In this article, we propose such a framework, which allows us to study the interplay among mobility service providers (MSPs), public transport authorities, and customers. Our framework combines a graph-theoretic network model for the transportation system with a game-theoretic market model in which MSPs are profit maximizers while customers select individually optimal transportation options. We apply our framework to data for the city of Berlin and present sensitivity analyses to study parameters that MSPs or municipalities can strategically influence. We show that autonomous ride-hailing systems may cannibalize a public transportation system, serving between 7% and 80% of all customers, depending on market conditions and policy restrictions.},
   url       = {https://ieeexplore.ieee.org/document/10337616},
   owner     = {lpabon},
   timestamp = {2024-09-01}