Alumnus

Bild: privat

Dr.-Ing. Arturo Crespo

Aufgabenbereich

Team - Eisenbahnbetriebswissenschaft (EBW), Betreuung Verkehr I

Kontakt

work +49 6151 16-65930

Work L1|01 187
Otto-Berndt-Straße 2
64827 Darmstadt

Springe zu: 2018
Anzahl der Einträge: 4.

2018

Crespo, Arturo ; Dombois, Marcus ; Henning, Jan (2018):
Preparedness & Prevention.
In: Key Concepts for Critical Infrastructure Research, S. 39-44, Springer VS, Wiesbaden, ISBN 978-3-658-22919-1, 978-3-658-22920-7,
DOI: 10.1007/978-3-658-22920-7₅,
[Buchkapitel]

Engels, Jens Ivo ; Lukitsch, Kristof ; Müller, Marcel ; Stahlhut, Chris ; Eifert, Stephanie ; Knauf, Alice ; Thiessen, Nadja ; Elsner, Ivonne ; Huck, Andreas ; Marathe, Manas ; Crespo, Arturo ; Dombois, Marcus ; Henning, Jan (2018):
Relations between the Concepts.
In: Key Concepts for Critical Infrastructure Research, S. 45-52, Springer VS, Wiesbaden, ISBN 978-3-658-22919-1 978-3-658-22920-7,
DOI: 10.1007/978-3-658-22920-7₆,
[Buchkapitel]

Crespo, Arturo ; Oetting, Andreas (2018):
Model for Estimating the Residual Transport Capacity During Passenger Deviation.
In: Tagungsband der 26. Verkehrswissenschaftliche Tage der TU Dresden, 26, 26. Verkehrswissen­schaftliche Tage 2018: "Grenzenlos(er) Verkehr?!", Dresden, 14.03.-15.03.2018, [Konferenzveröffentlichung]

Crespo, Arturo ; Oetting, Andreas (2018):
Public transport capacity limitations. Means for a prompt Occupancy Rate (O.R.) evaluation.
70, In: Internationales Verkehrswesen, (3), S. 84-87. DVV Media Group, ISSN 0020-9511,
[Artikel]

Diese Liste wurde am Fri Nov 27 07:59:50 2020 CET generiert.

Bereich

FB 13: Bau- und Umweltingenieurwissenschaften
Institut für Verkehr, Fachgebiet Bahnsysteme und Bahntechnik

Forschungsinteressen

  • Urbane Resilienz
  • Kritische Infrastruktur
  • Preparedness & Prevention
  • Eisenbahnbetriebswissenschaften
  • Störfallprogramme im Bahnbetrieb & Öffentliche Personen Verkehrsmittel

Dissertationsprojekt

Dynamische, intermodale Störfallprogramme für innerstädtische S-Bahnen

The operational quality of railway systems during a disruption can be achieved through the implementation of pre-structured or predefined programs. The implementation of these predetermined action plans, namely „Disruption Programs“ (DRPs), establish previously tested measures for handling diverse situations in an attempt to manage and overcome the hindered capacity of the network’s disrupted segments. This research focuses on increasing the overall preparedness of regional railway networks through the development of two logical models to be embedded within their DRP's operational and passenger transport related frameworks. Initially, it puts forward an algorithm that assesses the actual operating conditions (i.e. residual capacity) of existing public transport means, as a result, enabling a sound intermodal exchange of passengers during a disruption. Then, it proposes a second algorithm that would secure a dynamic operational management of specific rail based vehicles in the interlude between the moment a network disruption takes place and the specific disruption program reaches a stable operation (during the “chaotic phase”).

10/2014 – 10/2016 Joint M.Sc.; – International Cooperation and Urban Development, TU Darmstadt, Germany; – Sustainable Emergency Architecture, UIC, Spain; (MSc. Mundus Urbano)
08/2008 – 06/2013 B.Sc. Civil Engineering, Universidad Católica Boliviana (UCB) “San Pablo” – La Paz Bolivia
2014 – 2016 Category A, Erasmus Mundus, European Union Scholarship Program