TY - JOUR

T1 - Review of transit data sources

T2 - Potentials, challenges and complementarity

AU - Ge, Liping

AU - Sarhani, Malek

AU - Voß, Stefan

AU - Xie, Lin

N1 - Liping Ge is supported by the Deutsche Forschungsgemeinschaft (DFG fund LX 156/2-1). Malek Sarhani is supported by the Alexander von Humboldt Foundation. This publication was funded by the Open Access Publication Fund of Leuphana University Lüneburg.

PY - 2021/10/16

Y1 - 2021/10/16

N2 - Public transport has become one of the major transport options, especially when it comes to reducing motorized individual transport and achieving sustainability while reducing emissions, noise and so on. The use of public transport data has evolved and rapidly improved over the past decades. Indeed, the availability of data from different sources, coupled with advances in analytical and predictive approaches, has contributed to increased attention being paid to the exploitation of available data to improve public transport service. In this paper, we review the current state of the art of public transport data sources. More precisely, we summarize and analyze the potential and challenges of the main data sources. In addition, we show the complementary aspects of these data sources and how to merge them to broaden their contributions and face their challenges. This is complemented by an information management framework to enhance the use of data sources. Specifically, we seek to bridge the gap between traditional data sources and recent ones, present a unified overview of them and show how they can all leverage recent advances in data-driven methods and how they can help achieve a balance between transit service and passenger behavior.

AB - Public transport has become one of the major transport options, especially when it comes to reducing motorized individual transport and achieving sustainability while reducing emissions, noise and so on. The use of public transport data has evolved and rapidly improved over the past decades. Indeed, the availability of data from different sources, coupled with advances in analytical and predictive approaches, has contributed to increased attention being paid to the exploitation of available data to improve public transport service. In this paper, we review the current state of the art of public transport data sources. More precisely, we summarize and analyze the potential and challenges of the main data sources. In addition, we show the complementary aspects of these data sources and how to merge them to broaden their contributions and face their challenges. This is complemented by an information management framework to enhance the use of data sources. Specifically, we seek to bridge the gap between traditional data sources and recent ones, present a unified overview of them and show how they can all leverage recent advances in data-driven methods and how they can help achieve a balance between transit service and passenger behavior.

KW - Big data

KW - Data sources

KW - Passenger behavior

KW - Public transport

KW - Transit service

KW - Informatics

KW - Business informatics

UR - http://www.scopus.com/inward/record.url?scp=85117369869&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/83d7cda5-69ef-308d-b779-f926cb281155/

U2 - 10.3390/su132011450

DO - 10.3390/su132011450

M3 - Scientific review articles

AN - SCOPUS:85117369869

VL - 13

JO - Sustainability

JF - Sustainability

SN - 2071-1050

IS - 20

M1 - 11450

ER -