scholarly journals A Subjective Well-being Evaluation of Public Transport Users During Travel and Activities: Application of Day Reconstruction Method (Drm) Concept

2018 ◽  
Vol 2 (1) ◽  
pp. 1-9
Author(s):  
Winny Novalina
PLoS ONE ◽  
2012 ◽  
Vol 7 (8) ◽  
pp. e43887 ◽  
Author(s):  
Marta Miret ◽  
Francisco Félix Caballero ◽  
Arvind Mathur ◽  
Nirmala Naidoo ◽  
Paul Kowal ◽  
...  

2020 ◽  
Author(s):  
By Shu Cai ◽  
Albert Park ◽  
Winnie Yip

Abstract Using unique longitudinal survey data that employed the Day Reconstruction Method to measure experienced utility (EU) in rural China, this study reveals striking differences in the trends for life satisfaction and EU. We find that reported life satisfaction changed little over the period from 2006 to 2009. However, EU increased significantly during the same period. The improvement in EU is mainly due to more positive feelings about specific activities rather than changes in the time spent on different activities. These findings are consistent with the predictions of aspiration adaptation theory.


2009 ◽  
Vol 20 (8) ◽  
pp. 1000-1008 ◽  
Author(s):  
Mathew P. White ◽  
Paul Dolan

Serious consideration is being given to the impact of private behavior and public policies on people's subjective well-being (SWB). A new approach to measuring well-being, the day reconstruction method (DRM), weights the affective component of daily activities by their duration in order to construct temporal aggregates. However, the DRM neglects the potentially important role of thoughts. By adapting this method to include thoughts as well as feelings, we provide perhaps the most comprehensive measure of SWB to date. We show that some activities relatively low in pleasure (e.g., work and time with children) are nonetheless thought of as rewarding and therefore contribute to overall SWB. Such information may be important to policymakers wishing to promote behaviors that are conducive to a broader conception of SWB.


2018 ◽  
pp. 1-19
Author(s):  
LEONHARD K. LADES ◽  
LUCIE MARTIN ◽  
LIAM DELANEY

AbstractNaturalistic monitoring tools provide detailed information about people's behaviours and experiences in everyday life. Most naturalistic monitoring research has focused on measuring subjective well-being. This paper discusses how naturalistic monitoring can inform behavioural public policy-making by providing detailed information about everyday decisions and the choice architecture in which these decisions are made. We describe how the Day Reconstruction Method (DRM) – a naturalistic monitoring tool popular in the subjective well-being literature – can be used to: (i) improve ecological validity of behavioural economics; (ii) provide mechanistic evidence of the everyday workings of behavioural interventions; and (iii) help us to better understand people's true preferences. We believe that DRM data on everyday life have great potential to support the design and evaluation of behavioural policies.


2020 ◽  
Vol 14 (1) ◽  
pp. 99-114
Author(s):  
Divya Pradeep ◽  
K. C. Adaina ◽  
Sonia Kahmei

This paper explores the quality of life and subjective well-being of north-east migrant workers engaged in various formal and informal jobs in Bangalore. The composite well-being index reveals moderate well-being for the majority of workers. The disaggregated analysis, however, shows poor material conditions of life. Using the Day Reconstruction Method, we also find positive emotions associated with activities such as socialising but negative emotions for work and commuting. With respect to interacting partners, the negative emotions were highest while dealing with clients and customers. We also found positive correlations between life satisfaction and quality of life indicators, most strongly, with job quality. Lower quality of jobs, reported by women in comparison to men, suggests that organisations should aim to create more equal and enabling work spaces for all genders.


2019 ◽  
Vol 8 (1) ◽  
pp. 9 ◽  
Author(s):  
Panagiotis Vaitsis ◽  
Socrates Basbas ◽  
Andreas Nikiforiadis

In recent years, the relationship between transportation and subjective well-being has been a major subject. Well-being is a factor that can affect travelers’ psychology and transport mode choice. For this reason, policymakers have attempted to improve travelers’ subjective well-being and promote sustainable modes of transport. For a better understanding of these factors, a questionnaire-based survey was conducted to identify the travel eudaimonia aspect of subjective well-being (comfort, safety, autonomy, self-confidence, physical, and mental health), for the various means of transport in the city of Thessaloniki. During the survey, 300 valid questionnaires were completed. The collection of the above data was followed by statistical analysis. The aim of the analysis was to identify the factors of travel eudaimonia that contributed to the mode choice. For that reason, four ordinal regression models were developed to determine how travel eudaimonia affected the usage frequency of the four available means of transport in the city of Thessaloniki (i.e., private car, bicycle, public transport, walking). Walking was rated higher than other modes in all factors, whilst cycling was rated high in physical and mental health, self-confidence, and autonomy, but low in comfort and safety. Public transport scored very low in all factors, demonstrating the poor quality of service provided by the city’s public transport. Moreover, from the ordinal regression models’ results, it could be demonstrated that travel eudaimonia factors had a significant role to play in mode choice. Recognizing the impact of these factors on transport mode choice is particularly useful for policymakers, researchers, and engineers, as it helps them to make informed decisions about what improvements are needed to promote sustainable modes of transport (mainly walking, cycling, and secondarily, public transport).


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