Model of mobility demands for future short distance public transport systems

Alexander Sandau; Jorge Marx Gómez; Daniel Stamer; Benjamin Wagner vom Berg; Jantje Halberstadt

Model of mobility demands for future short distance public transport systems

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet

Standard

Model of mobility demands for future short distance public transport systems. / Sandau, Alexander; Marx Gómez, Jorge; Stamer, Daniel et al.

Conf-IRM 2016 Proceedings. AIS eLibrary, 2016.

Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet

Harvard

Sandau, A, Marx Gómez, J, Stamer, D, Wagner vom Berg, B & Halberstadt, J 2016, Model of mobility demands for future short distance public transport systems. in Conf-IRM 2016 Proceedings. AIS eLibrary, International Conference on Information Resources Management - Conf-IRM 2016, Cape Town, Südafrika, 18.05.16. <http://aisel.aisnet.org/confirm2016/32/>

APA

Sandau, A., Marx Gómez, J., Stamer, D., Wagner vom Berg, B., & Halberstadt, J. (2016). Model of mobility demands for future short distance public transport systems. in Conf-IRM 2016 Proceedings AIS eLibrary. http://aisel.aisnet.org/confirm2016/32/

Vancouver

Sandau A, Marx Gómez J, Stamer D, Wagner vom Berg B, Halberstadt J. Model of mobility demands for future short distance public transport systems. in Conf-IRM 2016 Proceedings. AIS eLibrary. 2016

Bibtex

@inbook{88d6c0fbaec24be1b0daff56727f6c33,

title = "Model of mobility demands for future short distance public transport systems",

abstract = "Short distance public transport faces huge challenges, although it is very important within a sustainable transport system to reduce traffic emissions. Revenues and subsidization are decreasing and especially in rural regions the offer is constantly diminishing. New approaches for public transport systems are strongly needed to avoid traffic infarcts in urban and rural areas to grant a basic offer of mobility services for everyone. In the proposed work a demand centered approach of dynamic public transport planning is introduced which relies on regional traffic data. The approach is based on a demand model which is represented as a dynamic undirected attributed graph. The demands are logged through traffic sensors and sustainability focused traveler information systems.",

keywords = "Entrepreneurship, Sustainable mobility, public transport, demand detection, demand model, dynamic undirected, attributed graph,, municipality information systems, smart city, Sustainable mobility, public transport, demand detection, demand model, dynamic undirected attributed graph, municipality information systems, smart city",

author = "Alexander Sandau and {Marx G{\'o}mez}, Jorge and Daniel Stamer and {Wagner vom Berg}, Benjamin and Jantje Halberstadt",

year = "2016",

month = aug,

day = "7",

language = "English",

isbn = "978-0-473-35594-4",

booktitle = "Conf-IRM 2016 Proceedings",

publisher = "AIS eLibrary",

address = "United States",

note = "International Conference on Information Resource Management Conf-IRM 2016 ; Conference date: 18-05-2016 Through 20-05-2016",

url = "http://conf-irm2016.uct.ac.za/",

}

RIS

TY - CHAP

T1 - Model of mobility demands for future short distance public transport systems

AU - Sandau, Alexander

AU - Marx Gómez, Jorge

AU - Stamer, Daniel

AU - Wagner vom Berg, Benjamin

AU - Halberstadt, Jantje

PY - 2016/8/7

Y1 - 2016/8/7

N2 - Short distance public transport faces huge challenges, although it is very important within a sustainable transport system to reduce traffic emissions. Revenues and subsidization are decreasing and especially in rural regions the offer is constantly diminishing. New approaches for public transport systems are strongly needed to avoid traffic infarcts in urban and rural areas to grant a basic offer of mobility services for everyone. In the proposed work a demand centered approach of dynamic public transport planning is introduced which relies on regional traffic data. The approach is based on a demand model which is represented as a dynamic undirected attributed graph. The demands are logged through traffic sensors and sustainability focused traveler information systems.

AB - Short distance public transport faces huge challenges, although it is very important within a sustainable transport system to reduce traffic emissions. Revenues and subsidization are decreasing and especially in rural regions the offer is constantly diminishing. New approaches for public transport systems are strongly needed to avoid traffic infarcts in urban and rural areas to grant a basic offer of mobility services for everyone. In the proposed work a demand centered approach of dynamic public transport planning is introduced which relies on regional traffic data. The approach is based on a demand model which is represented as a dynamic undirected attributed graph. The demands are logged through traffic sensors and sustainability focused traveler information systems.

KW - Entrepreneurship

KW - Sustainable mobility

KW - public transport

KW - demand detection

KW - demand model

KW - dynamic undirected

KW - attributed graph,

KW - municipality information systems

KW - smart city

KW - Sustainable mobility

KW - public transport

KW - demand detection

KW - demand model

KW - dynamic undirected attributed graph

KW - municipality information systems

KW - smart city

M3 - Article in conference proceedings

SN - 978-0-473-35594-4

BT - Conf-IRM 2016 Proceedings

PB - AIS eLibrary

T2 - International Conference on Information Resource Management Conf-IRM 2016

Y2 - 18 May 2016 through 20 May 2016

ER -