Changes in commuting behaviours in response to the COVID-19 pandemic in the UK

[1]  D. Muley,et al.  Exploring the impacts of COVID-19 on travel behavior and mode preferences , 2020, Transportation Research Interdisciplinary Perspectives.

[2]  J. Varney,et al.  Social distancing and COVID-19: an unprecedented active transport public health opportunity , 2020, British Journal of Sports Medicine.

[3]  D. Hensher,et al.  Insights into the impact of COVID-19 on household travel and activities in Australia – The early days under restrictions , 2020, Transport Policy.

[4]  C. Musselwhite JTH editorial v17 – The importance of psychosocial factors in transport and health , 2020, Journal of Transport & Health.

[5]  P. Horby,et al.  Features of 16,749 hospitalised UK patients with COVID-19 using the ISARIC WHO Clinical Characterisation Protocol , 2020, medRxiv.

[6]  Jonas De Vos,et al.  The effect of COVID-19 and subsequent social distancing on travel behavior , 2020, Transportation Research Interdisciplinary Perspectives.

[7]  Cindy M. Gray,et al.  Beyond cycle lanes and large-scale infrastructure: a scoping review of initiatives that groups and organisations can implement to promote cycling for the Cycle Nation Project , 2020, British Journal of Sports Medicine.

[8]  J. Anable,et al.  Car Use: Intentional, Habitual, or Both? Insights from Anscombe and the Mobility Biography Literature , 2019, Sustainability.

[9]  A. Cooper,et al.  Patterns and correlates of active commuting in adults with type 2 diabetes: cross-sectional evidence from UK Biobank , 2017, BMJ Open.

[10]  Paul Welsh,et al.  Association between active commuting and incident cardiovascular disease, cancer, and mortality: prospective cohort study , 2017, British Medical Journal.

[11]  E. Flint Associations between active commuting, body fat, and body mass index: population based, cross sectional study in the United Kingdom , 2015, BMJ : British Medical Journal.

[12]  M. Suhrcke,et al.  Does active commuting improve psychological wellbeing? Longitudinal evidence from eighteen waves of the British Household Panel Survey , 2014, Preventive medicine.

[13]  Steven Cummins,et al.  Associations between active commuting, body fat, and body mass index: population based, cross sectional study in the United Kingdom , 2014, BMJ : British Medical Journal.

[14]  Robert West,et al.  The Behaviour Change Wheel: A Guide To Designing Interventions , 2014 .

[15]  Kiron Chatterjee,et al.  Triggers for changes in cycling: the role of life events and modifications to the external environment , 2013 .

[16]  S. Michie,et al.  The behaviour change wheel: A new method for characterising and designing behaviour change interventions , 2011, Implementation science : IS.

[17]  I. Walker,et al.  Context change and travel mode choice : Combining the habit discontinuity and self-activation hypotheses , 2008 .

[18]  Gabriela Beirão,et al.  Understanding attitudes towards public transport and private car: A qualitative study , 2007 .

[19]  Ryuichi Kitamura,et al.  Incorporating trip chaining into analysis of destination choice , 1984 .

[20]  T. Gärling,et al.  Quality attributes of public transport that attract car users : A research review , 2013 .

[21]  D. Meadows-Klue The Tipping Point: How Little Things Can Make a Big Difference , 2004 .