Using data and technology to integrate mobility modes in low-income cities
This review identifies recent advances in technology and data that can facilitate multimodal urban travel
Abstract
The utilisation of data and technology in transportation has given rise to new forms of flexible, on-demand mobility and urban freight services. Such advances have also enabled the integration of multiple transportation modes and facilitated more predictable, environmentally-friendly, high-volume trips. While many of these technologies are now commonplace in higher income cities, they are less prevalent in lower income cities.
This review identifies recent advances in technology and data that can facilitate multimodal urban travel, and the existing and potential application of these advances in LIC and LMIC cities, particularly in Sub-Saharan Africa and Asia. This review examines peer-reviewed and grey literature and uses a multi-method approach with expert interviews. The review identifies open transportation data and data standards, global positioning systems, cashless fare payment, and blockchain as having high potential to facilitate integrated mobility in lower income contexts, and considers potential barriers to adopting and risks of utilising these technologies in LICs and LMICs. The review finds that, enabled by technology and data advances, LICs and LMICs could leapfrog the high car use and inefficient urban freight systems typical of higher income cities to more integrated, efficient, multimodal transport systems.
This is an output of the High Volume Transport Applied Research Programme
Citation
Dana Yanocha, Jacob Mason & Jonas Hagen (2021) Using data and technology to integrate mobility modes in low-income cities, Transport Reviews, 41:3, 262-284, DOI: 10.1080/01441647.2020.1834006
Link
Using data and technology to integrate mobility modes in low-income cities