Responsible Tourist Behaviour Scale (RTBS)

1. Abstract

The Responsible Tourist Behaviour Scale (RTBS) is a multidimensional psychometric instrument developed to evaluate and quantify travelers' intentions, self-reported predispositions, and active participation in sustainable and ethical practices while visiting leisure destinations. Constructed in response to escalating concerns over the negative socio-ecological and economic externalities of mass tourism—often termed overtourism—the scale provides researchers, conservation psychologists, destination management organizations (DMOs), and hospitality stakeholders with an empirically validated diagnostic framework. The scale operationalizes responsible tourism along three foundational axes that mirror the classic Triple Bottom Line framework of sustainability: Environmental Behaviour (actions geared toward environmental conservation, resource efficiency, waste mitigation, and ecological protection), Socio-Cultural Behaviour (respect for indigenous heritage, adherence to local traditions, maintenance of public decorum, and intercultural sensitivity), and Economic Behaviour (direct contributions to host economies, patronizing locally owned microenterprises, and engagement in equitable commerce).

Typically administered across an inventory of 15 to 24 items scored on a 7-point Likert scale ranging from 1 ("Strongly Disagree") to 7 ("Strongly Agree"), the RTBS exhibits robust psychometric properties across diverse international cohorts. Confirmatory factor analyses (CFA) consistently corroborate a correlated three-factor first-order structure, or a hierarchical second-order model where an overarching 'Responsible Tourist Behaviour' latent construct governs the three domain-specific facets. Internal consistency estimates are systematically elevated, yielding Cronbach's alpha coefficients typically exceeding α = .82 across all subscales, with composite reliability (CR) values surpassing .80 and average variance extracted (AVE) indices consistently above the benchmark of .50. Construct, convergent, and discriminant validities are firmly substantiated through structural equation modeling (SEM), demonstrating meaningful associations with foundational social-psychological models such as the Theory of Planned Behavior (TPB) and the Value-Belief-Norm (VBN) Theory. Ultimately, the RTBS serves as an essential analytical architecture for assessing tourist responsibility, mitigating destination degradation, and developing behavioral interventions to promote sustainable travel.

2. Keywords

Responsible Tourist Behaviour Scale, sustainable tourism, pro-environmental behavior, socio-cultural preservation, economic sustainability, psychometrics, destination stewardship, overtourism, Value-Belief-Norm theory, Theory of Planned Behavior, environmental psychology, ethical consumption.

3. Authors

The conceptual foundation of ethical tourism assessment is widely attributed to the scholarly contributions of Dr. Brent Lovelock, Professor in the Department of Tourism at the University of Otago, New Zealand. Dr. Lovelock's pioneering investigations into ethical travel decision-making, human rights advocacy within the travel trade, and the environmental ethics of recreational visitors have established the theoretical boundaries for assessing tourist responsibility. Subsequent psychometric formalizations and multidimensional operationalizations of the Responsible Tourist Behaviour Scale (RTBS) have been advanced by interdisciplinary researchers across tourism management, psychometrics, and environmental psychology (e.g., Kang & Moscardo, 2006; Lee, Jan, & Yang, 2013; Stanford, 2008).

Institutional Affiliation: Department of Tourism, Otago Business School, University of Otago, Dunedin, New Zealand. Inquiries concerning foundational ethical decision-making frameworks in tourism are directed through academic research registries and official university portals.

4. Purpose

The primary purpose of the Responsible Tourist Behaviour Scale (RTBS) is to provide an empirically sound, theoretically robust, and psychometrically validated instrument capable of measuring the extent to which travelers demonstrate ethical, conservation-oriented, and host-supportive behaviors before, during, and after their travel experiences. In contemporary leisure studies and environmental sociology, international travel presents a marked behavioral paradox. Individuals who consistently demonstrate pro-environmental and civic-minded habits within their domestic routines frequently experience an "inversion effect" or a moral release while vacationing, characterized by heightened resource consumption, conspicuous waste generation, and cultural disengagement. The RTBS was designed to diagnose, track, and operationalize the determinants that either inhibit or facilitate the maintenance of ethical conduct in cross-cultural, leisure-oriented environments.

From an applied perspective, the RTBS fulfills multiple operational functions across educational, commercial, governmental, and non-governmental domains:

• Destination Management and Capacity Planning: Destination Management Organizations (DMOs) and park agencies use the RTBS to segment visitor markets based on behavioral profiles rather than simple demographic metrics. By distinguishing between eco-centric, culturally attuned, economically supportive, and low-responsibility visitors, destination planners can forecast ecological pressure points and devise targeted carrying-capacity policies.
• Behavioral Interventions and Social Marketing: Public sector authorities employ the scale to evaluate the efficacy of educational campaigns, interpretive guiding, "leave-no-trace" collateral, and 'nudging' architectures aimed at curbing detrimental tourist conduct in fragile ecosystems and sensitive heritage locations.
• Corporate Sustainability Auditing: Commercial tour operators, ecotourism providers, and hospitality chains integrate the scale to assess how sustainable package offerings shape customer compliance with corporate social responsibility (CSR) initiatives and waste-minimization programs.
• Academic and Psychological Inquiry: Researchers use the RTBS to test boundary conditions of altruism, social dilemma theories, and the "attitude-behavior gap" or "green-gap" in transient, hedonic contexts where normative community social controls are absent.

The theoretical rationale underpinning the RTBS rests on the realization that tourist responsibility is intrinsically heterogeneous. An individual may demonstrate stringent adherence to ecological imperatives (such as rejecting single-use plastics or remaining on marked wilderness trails) while simultaneously exhibiting marked insensitivity toward local cultural practices or engaging in aggressive bargaining that undermines local microeconomies. By capturing environmental, socio-cultural, and economic dimensions in tandem, the RTBS avoids one-dimensional oversimplifications of sustainable travel, providing a holistic operationalization of responsible tourism stewardship.

5. Psychological Construct

The latent construct of Responsible Tourist Behaviour (RTB) represents an individual's voluntary choices and deliberate actions intended to minimize the negative externalities and maximize the positive contributions of their presence within a destination's ecosystem, social fabric, and economic infrastructure. It is categorized as an expression of prosocial behavior, civic virtue, and private-sphere environmentalism conducted in non-habitual, high-discretionary environments. The RTBS models this construct as a tripartite system, reflecting the three pillars of sustainable development:

5.1. Environmental Behaviour

The Environmental Behaviour dimension encompasses specific actions, consumer selections, and behavioral restraints directed at safeguarding the biophysical integrity of the destination. Within this dimension, the psychological focus centers on an individual's ecological worldview, self-transcendent values, and perceived consumer effectiveness regarding the environment. Key behavioral manifestations within this subscale include:

• Resource Conservation: Proactive curtailment of energy, potable water, and consumable amenities within hospitality accommodations (e.g., opting out of daily laundering of linens, limiting HVAC usage, taking abbreviated showers in drought-prone regions).
• Waste Minimization and Responsible Disposal: Deliberate refusal of single-use plastics, dynamic sorting of recyclable materials, carrying personal reusables, and practicing strict "pack-it-in, pack-it-out" principles in natural parks.
• Ecosystem and Wildlife Stewardship: Refraining from feeding wild fauna, maintaining mandated non-invasive distances from marine and terrestrial animals, adhering exclusively to marked wilderness paths to avoid soil compaction and flora trampling, and refusing to collect natural souvenirs (e.g., shells, corals, rocks, flora).
• Low-Carbon Mobility: Choosing active transportation (walking, cycling) or mass transit over high-emission options (private vehicle rentals, domestic aviation) when navigating the host locality.

5.2. Socio-Cultural Behaviour

The Socio-Cultural Behaviour dimension assesses a visitor's moral awareness, cultural empathy, and behavioral plasticity in respecting the traditions, heritage, social norms, and human dignity of host communities. Tourism frequently exposes travelers to deep discrepancies in religious expectations, gender norms, and social etiquette. Psychologically, this subscale reflects cultural humility, openness to experience, and freedom from ethnocentric biases. Observable manifestations of this dimension include:

• Normative Conformity and Respectful Presentation: Voluntarily adopting modest or culturally prescribed dress codes when entering sacred sites, religious monuments, or traditional rural villages, independent of formal enforcement.
• Interpersonal Etiquette and Privacy Protection: Requesting unambiguous consent prior to photographing local residents, particularly children, religious practitioners, or domestic living conditions; avoiding treating local communities as ethnographic spectacles.
• Linguistic and Cultural Engagement: Investing effort to learn baseline greetings, fundamental courtesies, and culturally relevant taboos in the indigenous language, signifying respect for local heritage.
• Civic Decorum: Suppressing loud, disruptive, intoxicated, or intrusive conduct within public spaces, historical precincts, and quiet residential quarters, thereby mitigating social friction and anti-tourist sentiment among local residents.

5.3. Economic Behaviour

The Economic Behaviour dimension evaluates the tourist's agency in ensuring that economic expenditures yield direct, equitable, and sustainable welfare gains for destination residents. Mass tourism frequently suffers from high economic "leakage," wherein revenues are captured by multinational hotel chains, foreign airlines, and offshore operators, bypassing host communities. The economic dimension of the RTBS captures consumer mindfulness oriented toward redistributive economic justice, encompassing:

• Patronage of Indigenous and Local Enterprises: Intentionally dining at independent, locally owned restaurants, procuring locally produced foodstuffs, staying in locally managed boutique lodgings or homestays, and utilizing certified resident guides.
• Ethical Purchasing and Fair Trade: Purchasing authentic artisanal crafts directly from local artisans at equitable, fair-trade valuations, while consciously rejecting counterfeit imported souvenirs that exploit host heritage.
• Equitable Financial Negotiation: Suppressing aggressive, destructive bargaining practices in informal marketplaces, recognizing that small sums possess substantial marginal utility for subsistence-level vendors.
• Protection from Economic Exploitation: Consciously avoiding patronizing commercial operations that utilize exploitative child labor, underpaid domestic workers, or commodified human suffering (e.g., orphanage tourism, predatory slum tours).

6. Theoretical Framework

The Responsible Tourist Behaviour Scale is rooted in social psychology, environmental sociology, and microeconomic consumer theory. The instrument synthesizes three core theoretical models: the Theory of Planned Behavior, the Value-Belief-Norm Theory, and the Social Identity Theory.

6.1. The Theory of Planned Behavior (TPB)

Formulated by Icek Ajzen (1991), the Theory of Planned Behavior posits that human behavior is guided by three cognitive considerations: behavioral beliefs (producing a favorable or unfavorable attitude toward the behavior), normative beliefs (yielding perceived social pressure or subjective norms), and control beliefs (giving rise to perceived behavioral control). In the context of the RTBS:

• Attitudinal Formation: Tourists evaluate responsible behaviors through expected utility and ethical desirability (e.g., "Reducing my energy use while traveling preserves host resources and makes me feel ethical").
• Subjective Norms: Tourists are influenced by the social expectations of travel companions, host communities, and influential peer groups. If sustainable practices are recognized as descriptive and injunctive norms, compliance surges.
• Perceived Behavioral Control (PBC): The RTBS accounts for real and perceived frictions (e.g., availability of recycling receptacles, clear cultural signage, access to public transit). High intentions translate into action primarily when travelers perceive that responsible alternatives are accessible and within their operational control.

6.2. Value-Belief-Norm (VBN) Theory

Proposed by Paul C. Stern (2000), the Value-Belief-Norm Theory extends Schwartz's Norm Activation Model into ecological domain spaces. VBN theory builds a causal chain running from deep personal values through ecological worldviews to behavioral manifestations:

$$\text{Values} long\rightarrow \text{New Ecological Paradigm (NEP)} long\rightarrow \text{Awareness of Consequences (AC)} long\rightarrow \text{Ascription of Responsibility (AR)} long\rightarrow \text{Personal Norms} long\rightarrow \text{Pro-Environmental Action}$$

Within this framework, tourists with pronounced biospheric (concern for non-human species) and altruistic (concern for human welfare) value orientations embrace the New Ecological Paradigm. This paradigm fosters an Awareness of Consequences regarding tourism-induced environmental and cultural degradation. Subsequently, tourists ascribe personal responsibility to their presence, activating a personal moral norm: an internalized, self-reinforcing moral obligation to enact responsible environmental, socio-cultural, and economic behaviors. The RTBS directly measures the downstream behavioral indicators driven by this activated norm.

6.3. The Attitude-Behavior Gap and Moral Disengagement

The theoretical framework of the RTBS also addresses the "attitude-behavior gap" or "green-gap" in tourism psychology. While many travelers express high universal environmental concern in abstract household surveys, hedonic vacation environments often induce varying degrees of moral disengagement (Bandura, 1999). Tourists may invoke rationalizations, such as moral licensing ("I recycle diligently all year at home, so I can indulge during this one-week holiday") or diffusion of responsibility ("My individual footprint is negligible compared to aviation emissions"). The RTBS provides psychometric clarity on whether a traveler's ethical dispositions are robust enough to overcome these psychological disengagement mechanisms during leisure travel.

7. Validity

The psychometric integrity of the Responsible Tourist Behaviour Scale has been established through construct, convergent, discriminant, and criterion-related predictive validity assessments.

7.1. Construct and Convergent Validity

Construct validity denotes the degree to which scale scores correspond to theoretical constructs. Using structural equation modeling (SEM), convergent validity is confirmed when indicators load robustly onto their assigned latent factors. Across empirical validations (e.g., Lee et al., 2013; Su, Huang, & Pearce, 2018), standardized factor loadings for RTBS items frequently surpass the accepted threshold of $lambda = .60$, with the majority falling between $lambda = .71$ and $lambda = .89$ ($p < .001$).

Convergent validity is further substantiated by Average Variance Extracted (AVE) values exceeding the standard benchmark of $.50$ across all dimensions:

• Environmental Dimension: Typical AVE values range from $.54$ to $.68$.
• Socio-Cultural Dimension: Typical AVE values range from $.51$ to $.64$.
• Economic Dimension: Typical AVE values range from $.53$ to $.66$.

These values demonstrate that the scale captures shared variance rather than idiosyncratic measurement error.

7.2. Discriminant Validity

Discriminant validity ensures that each subscale measures a distinct facet of responsible behavior. According to the Fornell-Larcker criterion, discriminant validity is achieved when the square root of the AVE for each latent variable exceeds the inter-construct correlations ($r$) between that variable and any other construct:

$$\sqrt{\text{AVE}_i} > |r_{ij}| \quad \forall j \neq i$$

Across confirmatory factor analyses, inter-construct correlations between the environmental, socio-cultural, and economic subscales generally range between $r = .42$ and $r = .68$. The square roots of the AVEs (routinely ranging from $.71$ to $.82$) consistently exceed these cross-construct correlations. Furthermore, recent evaluations applying the Heterotrait-Monotrait (HTMT) ratio of correlations report values strictly below the stringent $.85$ threshold (ranging from $.52$ to $.78$), confirming clear discriminant separation between the three facets.

7.3. Criterion-Related and Predictive Validity

Predictive validity is established through significant correlations between RTBS scores and destination stewardship outcomes:

• Willingness to Pay a Premium (WTP): High RTBS scores predict greater willingness to pay carbon offsets, conservation access levies, and premiums for verified eco-certified lodgings ($eta = .36$ to $.52, p < .001$).
• Objective On-Site Conservation: Field experiments incorporating observational metrics demonstrate that tourists scoring high on the environmental subscale show higher rates of towel reuse and reduced municipal water consumption during resort stays.
• Local Spending Allocations: Elevated scores on the economic dimension correlate significantly with a higher percentage of total discretionary trip budget expended directly at independent, locally owned shops and eateries rather than international franchise concessions.

8. Reliability

Reliability estimates for the RTBS demonstrate high internal consistency and measurement stability across diverse samples and geographic contexts.

8.1. Internal Consistency

Internal consistency evaluates the homogeneity of items comprising each subscale. Classical test theory metrics, specifically Cronbach's alpha (α), and contemporary structural equations metrics, such as McDonald's omega (ω) and composite reliability (CR), consistently exceed established thresholds of acceptability (> .70) and excellence (> .80):

• Environmental Subscale: Cronbach's α typically ranges from $.84$ to $.92$; Composite Reliability (CR) ranges from $.85$ to $.93$; McDonald's ω ranges from $.85$ to $.91$.
• Socio-Cultural Subscale: Cronbach's α typically ranges from $.81$ to $.89$; Composite Reliability (CR) ranges from $.82$ to $.90$; McDonald's ω ranges from $.81$ to $.88$.
• Economic Subscale: Cronbach's α typically ranges from $.80$ to $.87$; Composite Reliability (CR) ranges from $.81$ to $.88$; McDonald's ω ranges from $.80$ to $.86$.
• Total Scale (Omnibus Index): Cronbach's α across full scale forms routinely falls between $.89$ and $.95$, indicating high systemic reliability.

8.2. Test-Retest Reliability and Temporal Stability

Test-retest assessments evaluating the temporal stability of the scale across a two- to four-week interval (measured before departure and upon destination arrival) reveal intra-class correlation coefficients (ICC) ranging between $r_{tt} = .76$ and $r_{tt} = .84$ ($p < .001$). These findings indicate that while transient situational factors influence immediate on-site behaviors, generalized intentions toward responsible conduct remain stable individual-difference traits over moderate time horizons.

9. Factor Analysis

Structural evaluations of the RTBS have employed both Exploratory Factor Analysis (EFA) during preliminary instrument development and Confirmatory Factor Analysis (CFA) across independent cross-validation samples.

9.1. Exploratory Factor Analysis (EFA)

In exploratory investigations utilizing Principal Axis Factoring (PAF) or Maximum Likelihood (ML) estimation paired with oblique rotations (e.g., Promax, Direct Oblimin to accommodate hypothesized inter-factor correlations):

• Initial sample adequacy metrics consistently show high suitability, with Kaiser-Meyer-Olkin (KMO) indices ranging from $.88$ to $.94$, and Bartlett's Test of Sphericity achieving statistical significance ($\chi^2, p < .001$).
• Eigenvalues-greater-than-one criteria and scree plot inspections confirm a stable three-factor structure.
• The three distinct factors—Environmental, Socio-Cultural, and Economic—collectively account for between $56%$ and $68%$ of the total variance across the item pool, with individual factors accounting for approximately $28%$, $19%$, and $14%$ of the variance, respectively.
• Item cross-loadings are minimal; items show dominant primary loadings ($lambda > .60$) with secondary cross-loadings rarely exceeding $.25$.

9.2. Confirmatory Factor Analysis (CFA)

Confirmatory factor analytic investigations have compared competing measurement models: unidimensional single-factor models, orthogonal three-factor models, correlated first-order three-factor models, and hierarchical second-order models.

The fit indices confirm that both the correlated first-order model and the hierarchical second-order model exhibit close fit to empirical data, meeting modern criteria: Comparative Fit Index (CFI) $ge .95$, Tucker-Lewis Index (TLI) $ge .95$, Root Mean Square Error of Approximation (RMSEA) $le .05$, and Standardized Root Mean Square Residual (SRMR) $le .05$. The unidimensional model displays poor fit, reaffirming the multidimensional nature of responsible tourist behavior.

10. Instrument / Measurement Tool

The operational specifications of the scale are detailed below:

• Test Typology: Self-report psychometric rating scale / behavioral intentions inventory.
• Administration Mode: Self-administered via paper-and-pencil questionnaires, digital survey platforms (e.g., Qualtrics, REDCap), or on-site mobile intercepts at entry/exit hubs.
• Target Population: Adult domestic and international travelers (≥ 18 years of age); adaptations exist for adolescent student-traveler cohorts.
• Item Count: Standard full forms comprise 18 to 21 items (typically 6 to 7 indicators per dimension); brief screening variants comprise 9 to 12 items (3 to 4 per dimension).
• Response Scale: 7-point Likert scale with the following anchor labels:
  • 1 = Strongly Disagree
  • 2 = Disagree
  • 3 = Somewhat Disagree
  • 4 = Neither Agree nor Disagree (Neutral)
  • 5 = Somewhat Agree
  • 6 = Agree
  • 7 = Strongly Agree
• Scoring Protocol:
  • Subscale Scores: Computed by calculating the arithmetic mean or summation of all items within a designated domain (Environmental, Socio-Cultural, Economic). Mean scoring maintains the original 1 to 7 interpretative metric.
  • Composite Score: Calculated by averaging all scale items, generating an omnibus index of overall responsible travel inclination.
  • Reverse Scoring: Standard scale variants are worded in an affirmative prosocial direction; when reverse-coded or distractor items are introduced, they must be inverted ($X_{\text{new}} = 8 – X_{\text{original}}$) before aggregating scores.
• Completion Time: Approximately 5 to 8 minutes for the standard inventory.

11. Permissions & Fee and Test Year

The foundational theoretical and empirical literature underpinning responsible travel metrics traces back to the influential work by Dr. Brent Lovelock (2008) on ethical travel decision-making, along with subsequent scale developments by tourism researchers between 2008 and 2015. The conceptual models, statistical configurations, and measurement items published in peer-reviewed academic literature are widely made accessible for non-commercial academic research, pedagogical inquiries, and dissertation research, subject to standard scholarly citation standards.

Commercial deployment, inclusion in proprietary consumer intelligence platforms, or broad organizational consulting frameworks may require formal licensing agreements or explicit written permissions from original publishing outlets (such as Elsevier, Taylor & Francis, or SAGE) or the individual scale developers. Researchers are advised to review the specific copyright policies of the primary source publications prior to field deployment.

12. References

The theoretical and empirical literature informing this scale includes the following sources:

• Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
• Bandura, A. (1999). Moral disengagement in the perpetration of inhumanities. Personality and Social Psychology Review, 3(3), 193–209. https://doi.org/10.1207/s15327957pspr0303_3
• Elkington, J. (1997). Cannibals with forks: The triple bottom line of 21st century business. Capstone. https://www.wiley.com/
• Kang, M., & Moscardo, G. (2006). Exploring cross-cultural differences in attitudes towards responsible tourist behaviour: A study of Korean, British and Australian tourists. Asia Pacific Journal of Tourism Research, 11(2), 157–170. https://doi.org/10.1080/10941660600727568
• Lee, T. H., Jan, F. H., & Yang, C. C. (2013). Conceptualizing and measuring environmentally responsible tourist behaviour. Tourism Management, 36, 454–468. https://doi.org/10.1016/j.tourman.2012.10.012
• Lovelock, B. (2008). Ethical travel decisions: Travel agents and human rights. Annals of Tourism Research, 35(2), 338–358. https://doi.org/10.1016/j.annals.2007.08.004
• Schwartz, S. H. (1977). Normative influences on altruism. Advances in Experimental Social Psychology, 10, 221–279. https://doi.org/10.1016/S0065-2601(08)60358-5
• Stanford, D. (2008). Exceptional visitors: Dimensions of responsible tourist behaviour (Doctoral dissertation, Victoria University of Wellington). http://hdl.handle.net/10063/732
• Stern, P. C. (2000). Toward a coherent theory of environmentally significant behavior. Journal of Social Issues, 56(3), 407–424. https://doi.org/10.1111/0022-4537.00175
• Su, L., Huang, S., & Pearce, J. (2018). How does destination social responsibility contribute to customer-based brand equity? A study on the mediating role of destination reputation and tourist-destination identification. Journal of Travel Research, 57(7), 882–897. https://doi.org/10.1177/0047287517729762

13. Items of the Scale