A long-term travel delay measurement study based on multi-modal human mobility data.

ABSTRACT: Understanding human mobility is of great significance for sustainable transportation planning. Long-term travel delay change is a key metric to measure human mobility evolution in cities. However, it is challenging to quantify the long-term travel delay because it happens in different modalities, e.g., subway, taxi, bus, and personal cars, with implicated coupling. More importantly, the data for long-term multi-modal delay modeling is challenging to obtain in practice. As a result, the existing travel delay measurements mainly focus on either single-modal system or short-term mobility patterns, which cannot reveal the long-term travel dynamics and the impact among multi-modal systems. In this paper, we perform a travel delay measurement study to quantify and understand long-term multi-moda

SUBMITTER: Fang Z 

PROVIDER: S-EPMC9510763 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature