Was the trip worth it? Consistency between decision and experienced utility assessments of recreational nature visits

This paper assesses the relationship between decision utility and experienced utility of recreational nature visits. The former is measured as the travel cost to reach that site as routinely used by the travel cost method (TCM), and the latter is operationalized through visit-related subjective well-being (SWB). As such, the analysis is a test of convergent validity by examining whether ex ante TCM-based assessment of recreational value reflecting decision utility corresponds to stated ex post SWB, reflecting experienced utility. It explores to what extent utility revealed by counts of nature visits are associated with self-reported, visit-related SWB relating to that same visited site. The analysis uses two existing datasets providing information on (i) 3672 recreational visits to green/blue spaces in England over the course of four years and (ii) 5937 recreational visits to bluespace sites across 14 European countries over one year. Results show a positive association between travel cost and visit-related SWB while controlling for trip frequency and a large set of covariates, suggesting convergent validity of the two utility concepts. A breakdown by travel mode suggests this relationship only holds for trips involving motorized transport and is not present for habitual, chore-like walking visits

[1]  P. Frijters,et al.  A Handbook for Wellbeing Policy-Making , 2021 .

[2]  M. Nieuwenhuijsen,et al.  Associations between green/blue spaces and mental health across 18 countries , 2021, Scientific Reports.

[3]  Joanne K. Garrett,et al.  The value of blue-space recreation and perceived water quality across Europe: A contingent behaviour study. , 2021, The Science of the total environment.

[4]  Miles S. Kimball,et al.  What Do Happiness Data Mean? Theory and Survey Evidence , 2021, SSRN Electronic Journal.

[5]  L. Fleming,et al.  Blue space, health and well-being: A narrative overview and synthesis of potential benefits. , 2020, Environmental research.

[6]  B. Day.  The Value of Greenspace Under Pandemic Lockdown , 2020, Environmental & resource economics.

[7]  Bruce K. Johnson,et al.  Validity and reliability of contingent valuation and life satisfaction measures of welfare: An application to the value of national Olympic success , 2020 .

[8]  M. White,et al.  BlueHealth International Survey Methodology and Technical Report , 2020 .

[9]  Frank Lupi,et al.  Best Practices for Implementing Recreation Demand Models , 2020, Review of Environmental Economics and Policy.

[10]  Teresa Ruckelshauß.  The effect of green areas on life satisfaction: a comparison of subjective and objective measures , 2020 .

[11]  M. White,et al.  Urban Blue Acupuncture: A Protocol for Evaluating a Complex Landscape Design Intervention to Improve Health and Wellbeing in a Coastal Community , 2020, Sustainability.

[12]  S. Payne,et al.  Nature doesn't judge you - how urban nature supports young people's mental health and wellbeing in a diverse UK city. , 2020, Health & place.

[13]  S. Saz-Salazar,et al.  Valuing water supply infrastructure improvements using life satisfaction data as a complement to contingent valuation , 2019, Water and Environment Journal.

[14]  L. Tardieu,et al.  From supply to demand factors: What are the determinants of attractiveness for outdoor recreation? , 2019, Ecological Economics.

[15]  Howard Frumkin,et al.  Nature and mental health: An ecosystem service perspective , 2019, Science Advances.

[16]  Mikołaj Czajkowski,et al.  The Individual Travel Cost Method with Consumer-Specific Values of Travel Time Savings , 2019, Environmental and Resource Economics.

[17]  S. Pascoe.  Recreational beach use values with multiple activities , 2019, Ecological Economics.

[18]  M. White,et al.  Are Some Natural Environments More Psychologically Beneficial Than Others? The Importance of Type and Quality on Connectedness to Nature and Psychological Restoration , 2019 .

[19]  V. Ovaskainen,et al.  Valuing recreational salmon fishing at a remote site in Finland: A travel cost analysis , 2018, Fisheries Research.

[20]  Andy P. Jones,et al.  The health benefits of the great outdoors: A systematic review and meta-analysis of greenspace exposure and health outcomes , 2018, Environmental research.

[21]  Connie Y. Chiang.  Outdoor Recreation , 2018, Oxford Scholarship Online.

[22]  E. Pouta,et al.  Effects of water quality changes on the recreation benefits of swimming in Finland: Combined travel cost and contingent behavior model , 2017, Water Resources and Economics.

[23]  M. Nieuwenhuijsen,et al.  BlueHealth: a study programme protocol for mapping and quantifying the potential benefits to public health and well-being from Europe’s blue spaces , 2017, BMJ Open.

[24]  M. Depledge,et al.  Natural environments and subjective wellbeing: Different types of exposure are associated with different aspects of wellbeing , 2017, Health & place.

[25]  Alexander Zerrahn,et al.  Does the presence of wind turbines have negative externalities for people in their surroundings? Evidence from well-being data , 2017 .

[26]  Christine Bertram,et al.  Going to the Woods Is Going Home: Recreational Benefits of a Larger Urban Forest Site — A Travel Cost Analysis for Berlin, Germany , 2017 .

[27]  Frank Witlox,et al.  Travel mode choice and travel satisfaction: bridging the gap between decision utility and experienced utility , 2016 .

[28]  B. Day,et al.  Outdoor Recreation Valuation (ORVal) User Guide: Version 1.0 , 2016 .

[29]  I. Zurlytė,et al.  Development of an urban green space indicator and the public health rationale , 2016, Scandinavian journal of public health.

[30]  Takanori Kochiyama,et al.  The structural neural substrate of subjective happiness , 2015, Scientific Reports.

[31]  Adrian H. Taylor,et al.  Energy expenditure on recreational visits to different natural environments. , 2015, Social science & medicine.

[32]  N. Hanley,et al.  Valuing the commons: An international study on the recreational benefits of the Baltic Sea. , 2015, Journal of environmental management.

[33]  Jens Abildtrup,et al.  Combining RP and SP data while accounting for large choice sets and travel mode – an application to forest recreation , 2015 .

[34]  Payam Dadvand,et al.  Mental Health Benefits of Long-Term Exposure to Residential Green and Blue Spaces: A Systematic Review , 2015, International journal of environmental research and public health.

[35]  Chunbo Ma,et al.  The recreational value of gold coast beaches, Australia: An application of the travel cost method , 2015 .

[36]  H. Welsch,et al.  Environment, Well-Being, and Experienced Preference , 2014 .

[37]  E. Nikolova,et al.  How Much Should We Trust Life Satisfaction Data? Evidence from the Life in Transition Survey , 2014 .

[38]  Rural Affairs,et al.  Monitor of Engagement with the Natural Environment , 2014 .

[39]  John Armbrecht,et al.  Use value of cultural experiences: A comparison of contingent valuation and travel cost , 2014 .

[40]  Christopher M. Fleming,et al.  Public Greenspace and Life Satisfaction in Urban Australia , 2014 .

[41]  Sean T Doherty,et al.  Tracking human activity and well-being in natural environments using wearable sensors and experience sampling. , 2014, Social science & medicine.

[42]  S. Mourato,et al.  Happiness is greater in natural environments , 2013 .

[43]  Katrin Rehdanz,et al.  A human well-being approach for assessing the value of natural land areas. , 2013 .

[44]  M. Depledge,et al.  Feelings of restoration from recent nature visits , 2013 .

[45]  Ivar Krumpal.  Determinants of social desirability bias in sensitive surveys: a literature review , 2013 .

[46]  Jinhua Zhao,et al.  From Exxon to BP: Has Some Number Become Better Than No Number? , 2012 .

[47]  H. Welsch,et al.  Are pro-environmental consumption choices utility-maximizing? Evidence from subjective well-being data , 2011 .

[48]  N. Lienhoop,et al.  Valuing water level changes in reservoirs using two stated preference approaches: An exploration of validity , 2011 .

[49]  J. Rolfe,et al.  Testing for Convergent Validity between Travel Cost and Contingent Valuation Estimates of Recreation Values in the Coorong, Australia , 2010 .

[50]  J. Herriges,et al.  Convergent Validity of Contingent Behavior Responses in Models of Recreation Demand , 2010 .

[51]  Richard Layard,et al.  Measuring Subjective Well-Being , 2010, Science.

[52]  Susana Ferreira,et al.  On the Use of Subjective Well-Being Data for Environmental Valuation , 2010 .

[53]  H. Welsch,et al.  Determinants of pro-environmental consumption: The role of reference groups and routine behavior , 2009 .

[54]  Paul Dolan,et al.  Accounting for the Richness of Daily Activities , 2009, Psychological science.

[55]  Paul A. Raschky,et al.  Valuing flood disasters using the life satisfaction approach , 2009 .

[56]  H. Welsch,et al.  Using Happiness Data for Environmental Valuation: Issues and Applications , 2009 .

[57]  Simon Luechinger,et al.  Valuing Air Quality Using the Life Satisfaction Approach , 2009 .

[58]  R. Martínez-Espiñeira,et al.  Recreation demand analysis under truncation, overdispersion, and endogenous stratification: an application to Gros Morne National Park. , 2008, Journal of environmental management.

[59]  Nattavudh Powdthavee,et al.  Putting a price tag on friends, relatives, and neighbours: Using surveys of life satisfaction to value social relationships , 2008 .

[60]  Paul Dolan,et al.  How Can Measures of Subjective Well-Being Be Used to Inform Public Policy? , 2007, Perspectives on psychological science : a journal of the Association for Psychological Science.

[61]  V. P. Tewari,et al.  A Comparison between TCM and CVM in Assessing the Recreational Use Value of Urban Forestry , 2006 .

[62]  Graham Loomes,et al.  (How) Can we value health, safety and the environment? , 2006 .

[63]  Heinz Welsch,et al.  Valuation of Air Pollution Using Life Satisfaction Data , 2006 .

[64]  J. Loomis.  A Comparison of the Effect of Multiple Destination Trips on Recreation Benefits as Estimated by Travel Cost and Contingent Valuation Methods , 2006 .

[65]  D. Kahneman,et al.  Developments in the Measurement of Subjective Well-Being , 2006 .

[66]  D. Kahneman,et al.  Experienced Utility as a Standard of Policy Evaluation , 2005 .

[67]  Timothy D. Wilson,et al.  Affective Forecasting , 2005 .

[68]  Anna Alberini,et al.  Combining Actual and Contingent Behavior to Estimate the Value of Sports Fishing in the Lagoon of Venice , 2005 .

[69]  B. Giles-Corti,et al.  Increasing walking: how important is distance to, attractiveness, and size of public open space? , 2005, American journal of preventive medicine.

[70]  J. Herriges,et al.  Combining Revealed and Stated Preferences: Consistency Tests and Their Interpretations , 2003 .

[71]  G. Loewenstein,et al.  Projection Bias in Predicting Future Utility , 2000 .

[72]  Richard E. Lucas,et al.  Subjective Weil-Being: Three Decades of Progress , 2004 .

[73]  D. Kahneman.  New Challenges to the Rationality Assumption , 1997, Legal Theory.

[74]  D. Kahneman,et al.  Back to Bentham? Explorations of experience utility , 1997 .

[75]  S. Navrud,et al.  Environmental valuation in developing countries: The recreational value of wildlife viewing , 1994 .

[76]  Daniel Hellerstein,et al.  A Theoretical Foundation for Count Data Models , 1993 .

[77]  I. Dobbs.  Individual Travel Cost Method: Estimation and Benefit Assessment with a Discrete and Possibly Grouped Dependent Variable , 1993 .

[78]  R. Mendelsohn,et al.  A hedonic travel cost analysis for valuation of multiple components of site quality: The recreation value of forest management , 1991 .

[79]  W. Eberle,et al.  Critique of Contingent Valuation and Travel Cost Methods for Valuing Natural Resources and Ecosystems , 1991 .

[80]  F. W. Bell,et al.  Recreational demand by tourists for saltwater beach days. , 1990 .

[81]  S. Toth.  Economics of Outdoor Recreation , 1967 .

[82]  W. Nieuwenhuizen,et al.  In which natural environments are people happiest? Large-scale experience sampling in the Netherlands , 2021 .

[83]  Humberto González Ramírez,et al.  Travel time and bounded rationality in travellers’ route choice behaviour: A computer route choice experiment , 2021 .

[84]  Organisation for Economic Development and Cooperation , 2020, The International Encyclopedia of Higher Education Systems and Institutions.

[85]  Joanne K. Garrett,et al.  Urban blue space and health and wellbeing in Hong Kong: Results from a survey of older adults , 2019, Health & place.

[86]  Jonn Axsen,et al.  Unpacking the Relationships Between Pro-environmental Behavior, Life Satisfaction, and Perceived Ecological Threat , 2018 .

[87]  The ORVal Recreation Demand Model : Extension Project , 2018 .

[88]  G. Parsons.  Travel Cost Models , 2017 .

[89]  Yoshifumi Miyazaki,et al.  The physiological effects of Shinrin-yoku (taking in the forest atmosphere or forest bathing): evidence from field experiments in 24 forests across Japan , 2010, Environmental health and preventive medicine.

[90]  A. Oswald,et al.  Objective Confirmation of Subjective Measures of Human Well-Being: Evidence from the USA , 2010, SSRN Electronic Journal.

[91]  P. Dolan,et al.  Dynamic Well-Being: Connecting Indicators of what People Anticipate with Indicators of what they Experience , 2006 .

[92]  Frank A. Ward,et al.  Valuing Nature with Travel Cost Models , 2000 .

[93]  Trudy Ann Cameron,et al.  Combining Contingent Valuation and Travel Cost Data for the Valuation of Nonmarket Goods , 1992 .

[94]  Guy Garrod,et al.  AN INDIVIDUAL TRAVEL-COST METHOD OF EVALUATING FOREST RECREATION , 1991 .

[95]  Muammar Qaddafi,et al.  The Green Book , 1975 .