Developing public transport messaging to provide crowding information during COVID-19: Application of the COM-B model and behaviour change wheel

被引:10
作者
Krusche, Adele [1 ]
Wilde, Laura [1 ,2 ]
Ghio, Daniela [3 ]
Morrissey, Cora [1 ]
Froom, Alex [1 ]
Chick, Daniel [1 ]
机构
[1] Zipabout Ltd, 1 Chapel Court, Royal Leamington Spa CV32 4YS, England
[2] Coventry Univ, Ctr Intelligent Healthcare, Coventry, England
[3] Univ Salford, Sch Hlth & Soc, L818 Allerton Bldg, Manchester M6 6PU, England
关键词
Behaviour change; COVID-19; Crowding information; Intervention development public health messages; Public transport; TIME-SERIES ANALYSIS; STATISTICAL-ANALYSIS; CRASH RATE; ACCIDENT; WEATHER; RISK; HETEROGENEITY; PREDICTION; EXPOSURE; SINGLE;
D O I
10.1016/j.trip.2022.100564
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
The COVID-19 outbreak meant that using public transport was potentially unsafe for risk of catching and transmitting the virus. UK anxiety is high with lockdowns preventing a normal way of life for over a year. A lack of ability to travel freely causes numerous declines in quality of life including social isolation and poor physical and mental health. People need crowding information to choose safer travel options and subdue coronavirus. To provide effective guidance, it is essential to empirically formulate messaging to create clarity and trust which can be acted upon in confidence. Behaviour Change Techniques incorporating the Behaviour Change Wheel and COM-B model have been utilised in vast areas of public health intervention development and messaging. There is consensus that public transport information needs to be clearer and more accessible but BCTs have not been utilised in the development of public transport advice. This paper outlines the development of crowding messaging for public transport on a platform available to UK travellers. Barriers and facilitators were explored; related behaviours, intervention functions and behaviour change techniques were mapped. Specific message phrasing was developed utilising the mapped functions and advice from the literature. With the COVID-19 outbreak, having accessible and effective messaging for safely using public transport is a continuation of the work recently conducted examining the best ways to present public health information. It is important to be transparent when developing messaging and interventions accessible to the public and this work forms a basis for continued exploration and development in this area.
引用
收藏
页数:9
相关论文
共 46 条
[1]   A multivariate tobit analysis of highway accident-injury-severity rates [J].
Anastasopoulos, Panagiotis Ch ;
Shankar, Venky N. ;
Haddock, John E. ;
Mannering, Fred .
ACCIDENT ANALYSIS AND PREVENTION, 2012, 45 :110-119
[2]   Insights into driver adaptation to inclement weather in Canada [J].
Andrey, Jean ;
Hambly, Derrick ;
Mills, Brian ;
Afrin, Sadia .
JOURNAL OF TRANSPORT GEOGRAPHY, 2013, 28 :192-203
[3]  
[Anonymous], 2020, Government of the District of Columbia
[4]   An empirical assessment of the effects of economic recessions on pedestrian- injury crashes using mixed and latent-class models [J].
Behnood, Ali ;
Mannering, Fred .
ANALYTIC METHODS IN ACCIDENT RESEARCH, 2016, 12 :1-17
[5]   The temporal stability of factors affecting driver-injury severities in single-vehicle crashes: Some empirical evidence [J].
Behnood, Ali ;
Mannering, Fred .
ANALYTIC METHODS IN ACCIDENT RESEARCH, 2015, 8 :7-32
[6]  
Chen CY, 2011, IEEE INT VEH SYM, P607, DOI 10.1109/IVS.2011.5940418
[7]   On statistical inference in time series analysis of the evolution of road safety [J].
Commandeur, Jacques J. F. ;
Bijleveld, Frits D. ;
Bergel-Hayat, Ruth ;
Antoniou, Constantinos ;
Yannis, George ;
Papadimitriou, Eleonora .
ACCIDENT ANALYSIS AND PREVENTION, 2013, 60 :424-434
[8]  
District Department of Transportation, 2021, The vision zero initiative
[9]  
Government of the District of Columbia, 2020, Mayor bowser adjusts the district of columbia government's operating status
[10]  
Government of the District of Columbia, 2020, Stay at home order