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<title>Cross-Case analysis of bus operation in different context: Oviedo (Spain) and Tangier (Morocco)</title>
<creator>Cortez, Adriana</creator>
<creator>Monzón de Cáceres, Andrés</creator>
<creator>Al Akioui, Abid</creator>
<subject>ITS, operación y gestión</subject>
<subject>ITS, operation and management</subject>
<description>Trabajo presentado en: R-Evolucionando el transporte, XIV Congreso de Ingeniería del Transporte (CIT 2021), realizado en modalidad online los días 6, 7 y 8 de julio de 2021, organizado por la Universidad de Burgos</description>
<description>One of the main problems in urban areas is the steady growth in car ownership and traffic&#xd;
levels. Therefore, the main challenge to reach sustainable and liveable cities is focused on&#xd;
a shift of the demand for mobility from cars to collective means of transport. For this&#xd;
purpose, buses are a key element of the public transport system. This paper presents a&#xd;
cross-case analysis, from a diagnostic through big data management of the urban bus&#xd;
operation in Oviedo (Spain) and Tangier (Morocco). For this aim, several performance&#xd;
indicators (KPIs) were estimated for both networks and services. In the evaluation of the&#xd;
service the KPIs were grouped in five categories considering the consumption of resources&#xd;
(inputs) and the results or production obtained (outputs). Once the KPIs were estimated,&#xd;
they were compared to minimum requirements needed to satisfy demand depending on the&#xd;
cities characteristics (population, cover area, alternative transport systems). Finally, a&#xd;
qualitative comparison of the overall performance of the two networks was done. Results&#xd;
showed that even though at first sight, the service characteristics might seem different:&#xd;
Tangier´s network is made up of 44 lines, with a length of 795 km and a fleet of 192 buses.&#xd;
While Oviedo´s network has 16 lines with an extension of 205.9 km and a fleet of 67 buses&#xd;
there are several common indicators like the monthly average of users in urban lines that&#xd;
rounds 125,000 passengers, a capture ratio of 40 persons per bus, and a similar bus&#xd;
availability every 1000 inhabitants (0.22 and 0.30). However, it was possible to observe&#xd;
some gaps in the system functioning, mainly in Tangier´s network which overall&#xd;
performance is worse than Oviedo´s in most of the analysed aspects.</description>
<date>2022-09-19</date>
<date>2022-09-19</date>
<date>2021-07</date>
<type>info:eu-repo/semantics/conferenceObject</type>
<identifier>978-84-18465-12-3</identifier>
<identifier>http://hdl.handle.net/10259/6900</identifier>
<identifier>10.36443/10259/6900</identifier>
<language>eng</language>
<relation>R-Evolucionando el transporte</relation>
<relation>http://hdl.handle.net/10259/6490</relation>
<relation>https://doi.org/10.36443/9788418465123</relation>
<relation>info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTC2019-007041-4/ES/TrackBest-3S. Herramienta para la Gestión Segura, Sostenible e Inteligente de Rutas de Autobús</relation>
<rights>info:eu-repo/semantics/openAccess</rights>
<publisher>Universidad de Burgos. Servicio de Publicaciones e Imagen Institucional</publisher>
</thesis></metadata></record></GetRecord></OAI-PMH>