@article{ref1,
title="Understanding the influence of new and emerging data forms on mobility behaviours and related health outcomes",
journal="Journal of transport and health",
year="2022",
author="Harrison, Gillian and Grant-Muller, Susan M. and Hodgson, Frances C.",
volume="24",
number="",
pages="e101335-e101335",
abstract="Introduction Transport and health are complex, evolving and interacting systems, which are increasingly influenced by new and emerging data forms. In this study we address the research question, &quot;How could New and Emerging Data Forms improve understanding of mobility behaviours, and the related health outcomes, of different population subgroups?&quot;  Methods We build on an existing causal loop diagram (CLD) of the transport-health system to include the influence of New Data & Technologies, through a novel online Delphi approach to system dynamics modelling.   Results We present an improved CLD of the transport-health system and have identified the potential influence that Persuasive & Monitoring Technologies could have on transport-related health, including insights on the characteristics for representing and assessing them.   Conclusions The findings presented in this study can improve the design of holistic future-focused transport, health and data policies and the application of system dynamics to these areas, and as such are of relevance to researchers, policy makers and system dynamics practitioners.<p /> <p>Language: en</p>",
language="en",
issn="2214-1405",
doi="10.1016/j.jth.2022.101335",
url="http://dx.doi.org/10.1016/j.jth.2022.101335"
}