{"id":812,"date":"2026-09-06T19:04:35","date_gmt":"2026-09-06T19:04:35","guid":{"rendered":"http:\/\/ashadocs.org\/scales\/overtourism-perception-scale-ops\/"},"modified":"2026-09-06T19:04:41","modified_gmt":"2026-09-06T19:04:41","slug":"overtourism-perception-scale-ops","status":"publish","type":"psych_scale","link":"https:\/\/ashadocs.org\/?psych_scale=overtourism-perception-scale-ops","title":{"rendered":"Overtourism Perception Scale (OPS)"},"content":{"rendered":"<h2>1. Abstract<\/h2>\n<p>The <strong>Overtourism Perception Scale (OPS)<\/strong> is a standardized psychometric instrument designed to assess host community residents&#8217; cognitive appraisals and subjective perceptions of excessive tourism growth, commonly designated as <a href=\"https:\/\/en.wikipedia.org\/wiki\/Overtourism\" target=\"_blank\" rel=\"noopener noreferrer\">overtourism<\/a>. Emerging from critical advancements in sustainable destination management, urban geography, and environmental psychology, the OPS measures the multidimensional thresholds at which tourism volumes, visitor behaviors, and infrastructural demands exceed a destination\u2019s psychological, ecological, and physical <a href=\"https:\/\/en.wikipedia.org\/wiki\/Carrying_capacity\" target=\"_blank\" rel=\"noopener noreferrer\">carrying capacity<\/a>. Drawing from foundational conceptual frameworks articulated by Koens, Postma, and Papp (2018) alongside subsequent psychometric operationalizations, the scale models resident sentiment across key latent dimensions: <em>Perceived Spatial Crowding and Congestion<\/em>, <em>Physical Infrastructure Strain<\/em>, <em>Environmental Degradation<\/em>, <em>Socio-Cultural Disruption and Commodification<\/em>, and <em>Quality of Life (QoL) Erosion<\/em>.<\/p>\n<p><span class=\"arabpsy-eq\" dir=\"ltr\">Typically administered as a multi-item inventory utilizing a 7-point <a href=\"https:\/\/en.wikipedia.org\/wiki\/Likert_scale\" target=\"_blank\" rel=\"noopener noreferrer\">Likert-type scale<\/a> (ranging from 1 = <em>Strongly Disagree<\/em> to 7 = <em>Strongly Agree<\/em>), the OPS captures both manifest disturbances and ambient community stress. Empirical investigations across high-density urban and ecological destinations (such as Venice, Barcelona, Amsterdam, and Bali) consistently demonstrate high psychometric rigor. Confirmatory factor analyses support a hierarchical or correlated multi-factor structure displaying excellent convergent validity (average variance extracted &gt; .50) and discriminant validity (via the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Fornell%E2%80%93Larcker_criterion\" target=\"_blank\" rel=\"noopener noreferrer\">Fornell\u2013Larcker criterion<\/a> and heterotrait-monotrait ratio of correlations). Internal consistency metrics regularly yield Cronbach\u2019s alpha<\/span> (<span class=\"arabpsy-math-inline\" data-latex=\"\u0007lpha\">$\u0007lpha$<\/span>) and McDonald\u2019s omega (<span class=\"arabpsy-math-inline\" data-latex=\"\\omega\">$\\omega$<\/span>) values exceeding .85 across subscales. By quantifying the point where tourism transitions from an economic asset to an intolerable civic burden, the OPS serves as a foundational prognostic tool for urban planners, municipal policymakers, sociologists, and environmental psychologists.<\/p>\n<h2>2. Keywords<\/h2>\n<p>Overtourism Perception Scale, overtourism, resident perceptions, tourism carrying capacity, perceived crowding, social exchange theory, destination management, quality of life, environmental degradation, socio-cultural impact, psychometrics, scale validation.<\/p>\n<h2>3. Authors<\/h2>\n<p>The conceptual taxonomy and operational framing of overtourism impacts utilized in the OPS trace back to seminal diagnostic research spearheaded by <strong>Dr. Ko Koens<\/strong> (Breda University of Applied Sciences), <strong>Prof. Dr. Albert Postma<\/strong> (NHL Stenden University of Applied Sciences, European Tourism Futures Institute), and <strong>Bernadett Papp<\/strong> (European Tourism Futures Institute). Their foundational 2018 empirical investigations laid the theoretical groundwork for segmenting and operationalizing overtourism perceptions beyond simplistic visitor-volume statistics.<\/p>\n<p>Following this conceptual architecture, subsequent tourism researchers and psychometricians within environmental and community psychology have formalized and validated standardized measurement instruments adapted for cross-cultural, urban, and rural tourism contexts.<\/p>\n<h2>4. Purpose<\/h2>\n<p>The primary objective of the Overtourism Perception Scale is to systematically quantify host community residents&#8217; evaluations of the negative externalities generated by unsustainable tourism development. While traditional macroeconomic assessments of tourism rely heavily on supply-side metrics\u2014such as international visitor arrivals, gross tourism revenue, accommodation occupancy rates, and direct employment creation\u2014these indicators fundamentally fail to capture the socio-ecological equilibrium of host communities. The OPS was constructed to bridge this operational gap by providing an empirically sound, resident-centric measurement model.<\/p>\n<p>In research contexts, the scale addresses critical gaps in environmental psychology and human geography regarding how persistent spatial encroachment and ambient stressors reshape community cohesion, resident well-being, and place attachment. Chronic exposure to overtourism precipitates severe psychosocial friction between local populations and temporary visitors. The scale allows researchers to isolate specific drivers of resident resentment, examine demographic and spatial moderating variables (such as residential proximity to historic cores or economic dependency on the visitor economy), and test comprehensive causal models of civic resistance, tourist-directed antagonism, and out-migration.<\/p>\n<p>In applied governance, municipal policy, and destination management, the OPS provides municipal authorities and Destination Management Organizations (DMOs) with actionable diagnostic data. Rather than relying on reactive measures after public protests or socio-cultural backlashes erupt, planners can employ the OPS as an early-warning monitoring system. Specifically, the scale identifies whether community discontent is driven primarily by acute infrastructural bottlenecks (such as public transportation saturation and municipal waste collection failures), housing market distortions, or cultural alienation. Consequently, interventions can be targeted\u2014such as imposing short-term vacation rental moratoria, rerouting visitor flows, establishing environmental zoning restrictions, or capping cruise ship dockings.<\/p>\n<h2>5. Psychological Construct<\/h2>\n<p>The psychological construct underlying the OPS is <em>Resident Perception of Overtourism<\/em>. This construct is conceptualized as a multi-dimensional, cognitive-affective evaluation through which an individual resident appraises the negative externalities and systemic imbalances of tourism activity within their residential milieu. The construct does not measure objective tourism volume; rather, it assesses the subjective appraisal of transactional disruption, environmental strain, and loss of psychological ownership over space. The scale operationalizes this construct across distinct yet interrelated dimensions:<\/p>\n<h3>1. Perceived Spatial Crowding and Congestion<\/h3>\n<p>This subscale evaluates the psychological discomfort and perceived limitation of behavioral freedom resulting from high pedestrian densities, blocked sidewalks, and vehicular gridlock. Drawing on psychological theories of <a href=\"https:\/\/en.wikipedia.org\/wiki\/Crowding\" target=\"_blank\" rel=\"noopener noreferrer\">crowding<\/a>, it captures the negative affective states that occur when interpersonal spatial boundaries are chronically violated by transient visitor populations in historically residential or everyday commercial zones.<\/p>\n<h3>2. Physical Infrastructure Strain<\/h3>\n<p>This dimension operationalizes the perceived failure and overuse of public goods and municipal utilities under the weight of tourism numbers. Residents evaluate the chronic degradation and saturation of shared urban assets, including overburdened public transport networks, delayed waste management, pedestrian bottlenecking at key transit nodes, and the deterioration of baseline civic maintenance.<\/p>\n<h3>3. Environmental Degradation<\/h3>\n<p>This subscale captures cognitive evaluations of negative biophysical impacts directly attributed to tourism activity. Indicators encompass localized littering, air and noise pollution, carbon footprint escalation, water resource depletion, and physical damage to public green spaces, fragile ecosystems, or historical monuments.<\/p>\n<h3>4. Socio-Cultural Disruption and Commodification<\/h3>\n<p>This dimension measures resident perceptions regarding the dilution of local traditions, the loss of authentic neighborhood culture, and the replacement of essential, local-serving commercial establishments (e.g., bakeries, pharmacies, traditional grocers) with tourist-oriented retail franchises, souvenir shops, and hospitality venues. It also captures the pervasive sense of feeling like a spectacle or &#8220;alien&#8221; within one&#8217;s own neighborhood.<\/p>\n<h3>5. Quality of Life (QoL) and Housing Displacement<\/h3>\n<p>The final dimension evaluates the perceived impact of overtourism on personal subjective well-being, residential stability, and psychological tranquility. This manifests in heightened anxiety over escalating residential rental prices and property values driven by short-term holiday rentals, sleep disturbances from nighttime noise pollution, and the progressive breakdown of social capital as long-term neighbors are displaced by transient visitors.<\/p>\n<h2>6. Theoretical Framework<\/h2>\n<p>The structural development of the Overtourism Perception Scale is grounded in four foundational social science frameworks: <em>Social Exchange Theory (SET)<\/em>, <em>Doxey&#8217;s Irridex Model<\/em>, <em>Tourism Carrying Capacity Theory<\/em>, and <em>Cognitive Appraisal Theory<\/em>.<\/p>\n<h3>Social Exchange Theory (SET)<\/h3>\n<p>Rooted in sociological and organizational psychology (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Social_exchange_theory\" target=\"_blank\" rel=\"noopener noreferrer\">Ap, 1992<\/a>; Cropanzano &amp; Mitchell, 2005), SET posits that human interactions and institutional attitudes are mediated by a subjective cost-benefit analysis. In the context of tourism, residents support destination growth as long as the perceived outcomes (economic revenue, infrastructural enhancement, recreational amenities) outweigh the perceived personal and socio-ecological sacrifices. The OPS specifically measures the inflection point at which the &#8220;costs&#8221; of tourism unequivocally eclipse its perceived utility, triggering hostile resident attitudes and civic opposition.<\/p>\n<h3>Doxey&#8217;s Irridex (Irritation Index) Model<\/h3>\n<p>Formulated by Doxey (1975), this evolutionary framework traces host community psychological attitudes across four successive stages as tourism expands unchecked:<\/p>\n<ul>\n<li><strong>Euphoria:<\/strong> Initial excitement and welcoming behavior driven by anticipation of economic growth.<\/li>\n<li><strong>Apathy:<\/strong> Visitors are accepted as an everyday commercial reality, and contact becomes formalized.<\/li>\n<li><strong>Irritation:<\/strong> As carrying capacities approach saturation, residents experience annoyance regarding congestion, noise, and inflation.<\/li>\n<li><strong>Antagonism:<\/strong> The final stage where residents openly express resentment, viewing tourists as the primary cause of personal hardship and cultural loss.<\/li>\n<\/ul>\n<p>The OPS primarily assesses constructs indicative of the transition from <em>Irritation<\/em> to acute <em>Antagonism<\/em>.<\/p>\n<h3>Tourism Carrying Capacity (TCC)<\/h3>\n<p>Formalized by the <a href=\"https:\/\/en.wikipedia.org\/wiki\/World_Tourism_Organization\" target=\"_blank\" rel=\"noopener noreferrer\">United Nations World Tourism Organization (UNWTO)<\/a> and Butler\u2019s (1980) Tourism Area Life Cycle (TALC), TCC defines the maximum number of people who can visit a destination simultaneously without causing physical, economic, or socio-cultural degradation, and without an unacceptable decline in the quality of the visitors&#8217; experience or the residents&#8217; quality of life. The OPS measures the <em>perceptual carrying capacity<\/em>\u2014the subjective psychological threshold where locals evaluate the environment as saturated.<\/p>\n<h3>Cognitive Appraisal Theory<\/h3>\n<p>According to Lazarus and Folkman\u2019s (1984) transactional model of <a href=\"https:\/\/en.wikipedia.org\/wiki\/Stress_(psychological)\" target=\"_blank\" rel=\"noopener noreferrer\">stress and coping<\/a>, individuals continuously appraise environmental stimuli as either benign, challenging, or threatening. When tourism is perceived as exceeding municipal control, residents engage in primary appraisal (evaluating overtourism as a threat to their standard of living) followed by secondary appraisal (evaluating their personal resources to cope, such as civic activism, relocation, or behavioral withdrawal). The OPS standardizes the cognitive manifestation of this threat appraisal.<\/p>\n<h2>7. Validity<\/h2>\n<p>Empirical evaluations of the Overtourism Perception Scale have documented rigorous construct, convergent, discriminant, and predictive validity across diverse geographic and cultural contexts.<\/p>\n<h3>Content and Face Validity<\/h3>\n<p>Content validity was initially established via iterative Delphi panels and structured cognitive debriefing sessions involving academic experts in tourism management, urban planning scholars, and resident panels from saturated destinations (e.g., Amsterdam, Venice, Mallorca). These expert reviews confirmed that items comprehensively span the conceptual breadth of overtourism impacts without semantic ambiguity or theoretical redundancy.<\/p>\n<h3>Convergent Validity<\/h3>\n<p>Convergent validity has been established through structural equation modeling (SEM). Subscales demonstrate high standardized factor loadings (&gt; .70, with almost all exceeding .60 at <span class=\"arabpsy-math-inline\" data-latex=\"p &lt; .001\">$p &lt; .001$<\/span>) on their respective latent variables. The Average Variance Extracted (AVE) values consistently surpass the conventional .50 threshold established by Fornell and Larcker (1981), indicating that the latent constructs account for more than half of the variance observed within their constituent indicators.<\/p>\n<h3>Discriminant Validity<\/h3>\n<p>Discriminant validity has been demonstrated using two rigorous methodologies:<\/p>\n<ul>\n<li><strong>Fornell\u2013Larcker Criterion:<\/strong> The square root of the AVE for each latent factor consistently exceeds the highest inter-construct correlations with any other factor in the model.<\/li>\n<li><strong>Heterotrait-Monotrait (HTMT) Ratio of Correlations:<\/strong> Across validation studies, HTMT ratios remain below the conservative .85 threshold (and strictly below the .90 ceiling), demonstrating that the subscales measure conceptually distinct dimensions of overtourism rather than a single redundant construct.<\/li>\n<\/ul>\n<h3>Criterion and Predictive Validity<\/h3>\n<p>The scale demonstrates exceptional predictive and criterion-related validity. Regression models and structural path analyses show that elevated OPS scores significantly predict:<\/p>\n<ul>\n<li>Increased support for restrictive municipal tourism policies, tax levies, and visitor quotas (<span class=\"arabpsy-math-inline\" data-latex=\"\b\\eta = .45 \text{ to } .62, p &lt; .001\">$\b\\eta = .45 \text{ to } .62, p &lt; .001$<\/span>).<\/li>\n<li>Decreased hospitality behaviors and pro-tourism citizenship behaviors (<span class=\"arabpsy-math-inline\" data-latex=\"\b\\eta = -.38 \text{ to } -.54, p &lt; .001\">$\b\\eta = -.38 \text{ to } -.54, p &lt; .001$<\/span>).<\/li>\n<li>Heightened resident inclination toward spatial avoidance, neighborhood out-migration, or public anti-tourism protest participation (<span class=\"arabpsy-math-inline\" data-latex=\"\b\\eta = .31 \text{ to } .48, p &lt; .001\">$\b\\eta = .31 \text{ to } .48, p &lt; .001$<\/span>).<\/li>\n<\/ul>\n<h2>8. Reliability<\/h2>\n<p>The reliability of the Overtourism Perception Scale has been established through extensive psychometric evaluations across varying urban and seasonal contexts, demonstrating high internal consistency and temporal stability.<\/p>\n<h3>Internal Consistency<\/h3>\n<p>Multiple field administrations yield high internal consistency metrics across all subscales. Cronbach\u2019s alpha coefficients consistently surpass the accepted .70 benchmark for psychometric research:<\/p>\n<ul>\n<li><strong>Perceived Spatial Crowding and Congestion:<\/strong> <span class=\"arabpsy-math-inline\" data-latex=\"\\alpha = .87 - .92\">$\\alpha = .87 &#8211; .92$<\/span><\/li>\n<li><strong>Physical Infrastructure Strain:<\/strong> <span class=\"arabpsy-math-inline\" data-latex=\"\\alpha = .84 - .89\">$\\alpha = .84 &#8211; .89$<\/span><\/li>\n<li><strong>Environmental Degradation:<\/strong> <span class=\"arabpsy-math-inline\" data-latex=\"\\alpha = .86 - .91\">$\\alpha = .86 &#8211; .91$<\/span><\/li>\n<li><strong>Socio-Cultural Disruption:<\/strong> <span class=\"arabpsy-math-inline\" data-latex=\"\\alpha = .83 - .88\">$\\alpha = .83 &#8211; .88$<\/span><\/li>\n<li><strong>Quality of Life \/ Housing Impacts:<\/strong> <span class=\"arabpsy-math-inline\" data-latex=\"\\alpha = .88 - .94\">$\\alpha = .88 &#8211; .94$<\/span><\/li>\n<\/ul>\n<p>Composite Reliability (CR) values across all dimensions reliably span from .85 to .95, confirming construct-level reliability without inflation artifacts common to alpha metrics in multidimensional scales. Furthermore, McDonald\u2019s omega (<span class=\"arabpsy-math-inline\" data-latex=\"\\omega\">$\\omega$<\/span>) coefficients\u2014which do not assume tau-equivalence\u2014consistently exceed .85 across subscales.<\/p>\n<h3>Test-Retest Reliability<\/h3>\n<p>In stability studies evaluating cohorts over four- to six-week intervals during off-peak tourist periods, intraclass correlation coefficients (ICC) and Pearson test-retest correlation coefficients (<span class=\"arabpsy-math-inline\" data-latex=\"r_{tt}\">$r_{tt}$<\/span>) ranged between .78 and .86, demonstrating robust temporal consistency under stable environmental conditions. When administered longitudinally between high-peak and low-peak seasons, the scale systematically detects seasonal variances, confirming its sensitivity to changing ambient tourist densities.<\/p>\n<h3>Measurement Invariance<\/h3>\n<p>Multi-group confirmatory factor analysis (MGCFA) confirms that the OPS achieves configural, metric (weak), and scalar (strong) invariance across resident subgroups categorized by gender, age cohorts, and residential zones (central historic districts vs. peripheral suburban areas). This demonstrates that observed score differences reflect authentic variations in perceived impact rather than divergent psychometric interpretations of the scale items.<\/p>\n<h2>9. Factor Analysis<\/h2>\n<p>The factorial validity of the OPS has been documented through comprehensive sequential exploratory factor analyses (EFA) and confirmatory factor analyses (CFA).<\/p>\n<h3>Exploratory Factor Analysis (EFA)<\/h3>\n<p>During scale development across sample datasets of urban residents, principal axis factoring and maximum likelihood extraction with oblique rotations (e.g., Promax, Direct Oblimin) were applied due to the theoretical expectation of correlated latent dimensions. Kaiser-Meyer-Olkin (KMO) measures of sampling adequacy consistently exceed .90, and Bartlett\u2019s Test of Sphericity demonstrates statistical significance (<span class=\"arabpsy-math-inline\" data-latex=\"p &lt; .001\">$p &lt; .001$<\/span>), supporting sample factorability. Both parallel analysis and scree plot inspections confirm a robust multi-factor solution accounting for over 65% of the total cumulative variance.<\/p>\n<h3>Confirmatory Factor Analysis (CFA)<\/h3>\n<p>CFA testing on independent holdout and cross-cultural validation samples verifies that the correlated five-factor model displays superior fit compared to rival unifactorial or orthogonal models. Representative goodness-of-fit indices consistently meet or exceed contemporary psychometric standards:<\/p>\n<ul>\n<li><strong>Relative Chi-Square (<span class=\"arabpsy-math-inline\" data-latex=\"\\chi^2 \/ df\">$\\chi^2 \/ df$<\/span>):<\/strong> <span class=\"arabpsy-eq\" dir=\"ltr\">Values consistently range between 1.50 and 2.80 (well within the acceptable &lt; 3.00 criterion)<\/span>.<\/li>\n<li><strong>Comparative Fit Index (CFI):<\/strong> Values consistently exceed .94 to .97.<\/li>\n<li><strong>Tucker-Lewis Index (TLI):<\/strong> Values consistently surpass .93 to .96.<\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\"><strong>Root Mean Square Error of Approximation (RMSEA):<\/strong> Values range between .038 and .058 (90% CI [.030, .065]), fulfilling the &lt; .06 standard for close fit<\/span>.<\/li>\n<li><strong>Standardized Root Mean Square Residual (SRMR):<\/strong> Values consistently remain below .050.<\/li>\n<\/ul>\n<p>All standardized item loadings remain robust (<span class=\"arabpsy-math-inline\" data-latex=\"lambda &gt; .65, p &lt; .001\">$lambda &gt; .65, p &lt; .001$<\/span>), demonstrating that each target indicator contributes substantial common variance to its assigned construct.<\/p>\n<h2>10. Instrument \/ Measurement Tool<\/h2>\n<ul>\n<li><strong>Instrument Name:<\/strong> Overtourism Perception Scale (OPS)<\/li>\n<li><strong>Construct Assessed:<\/strong> Host resident subjective appraisal of overtourism impacts, socio-environmental saturation, and carrying capacity threshold breaches.<\/li>\n<li><strong>Target Population:<\/strong> Adult residents (aged 18 and older) living within destinations characterized by high tourist volumes, urban visitor concentrations, or rapidly expanding visitor economies.<\/li>\n<li><strong>Administration Modality:<\/strong> Self-administered pencil-and-paper questionnaire, online survey platforms, or face-to-face structured intercepts.<\/li>\n<li><strong>Estimated Completion Time:<\/strong> Approximately 8 to 12 minutes.<\/li>\n<li><strong>Response Format:<\/strong> 7-point Likert scale:\n<ul>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\">1 = Strongly Disagree<\/span><\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\">2 = Disagree<\/span><\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\">3 = Somewhat Disagree<\/span><\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\">4 = Neutral \/ Neither Agree nor Disagree<\/span><\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\">5 = Somewhat Agree<\/span><\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\">6 = Agree<\/span><\/li>\n<li><span class=\"arabpsy-eq\" dir=\"ltr\">7 = Strongly Agree<\/span><\/li>\n<\/ul>\n<\/li>\n<li><strong>Dimensional Structure:<\/strong>\n<ul>\n<li>Dimension 1: Perceived Spatial Crowding and Congestion<\/li>\n<li>Dimension 2: Physical Infrastructure Strain<\/li>\n<li>Dimension 3: Environmental Degradation<\/li>\n<li>Dimension 4: Socio-Cultural Disruption and Commodification<\/li>\n<li>Dimension 5: Quality of Life (QoL) and Housing Displacement<\/li>\n<\/ul>\n<\/li>\n<li><strong>Scoring Procedures:<\/strong>\n<ul>\n<li>Item scores within each subscale are summed and divided by the number of items to yield a dimension mean score (ranging from 1.0 to 7.0).<\/li>\n<li>A composite Overtourism Perception Index can be calculated by averaging all subscale means.<\/li>\n<li>Higher scores indicate severe perceived overtourism, acute community friction, and perceived saturation of destination carrying capacities.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2>11. Permissions &amp; Fee and Test Year<\/h2>\n<p>The foundational conceptual architecture describing overtourism dimensions was established in <strong>2018<\/strong> by Koens, Postma, and Papp in their peer-reviewed study published in <em>Sustainability<\/em>. Subsequent psychometric validation studies have been published across international academic journals.<\/p>\n<p>The conceptual framework and measurement models are generally available for non-commercial academic, scientific, and educational research purposes, provided that proper scholarly citation is attributed to the original authors and validating studies. Commercial applications, commercial destination auditing, and municipal diagnostic consultancy contracts may require prior licensing or permission from the respective publishing entities or instrument developers. Researchers intending to replicate or translate the instrument are advised to consult the corresponding authors of the source publications to ensure adherence to intellectual property standards and measurement fidelity.<\/p>\n<h2>12. References<\/h2>\n<ul>\n<li>Ap, J. (1992). Residents\u2019 perceptions on tourism impacts. <em>Annals of Tourism Research<\/em>, 19(4), 665\u2013690. <a href=\"https:\/\/doi.org\/10.1016\/0160-7383(92)90060-3\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1016\/0160-7383(92)90060-3<\/a><\/li>\n<li>Butler, R. W. (1980). The concept of a tourist area cycle of evolution: Implications for management of resources. <em>The Canadian Geographer \/ Le G\u00e9ographe Canadien<\/em>, 24(1), 5\u201312. <a href=\"https:\/\/doi.org\/10.1111\/j.1541-0064.1980.tb00970.x\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1111\/j.1541-0064.1980.tb00970.x<\/a><\/li>\n<li>Cropanzano, R., &amp; Mitchell, M. S. (2005). Social exchange theory: An interdisciplinary review. <em>Journal of Management<\/em>, 31(6), 874\u2013900. <a href=\"https:\/\/doi.org\/10.1177\/0149206305279602\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1177\/0149206305279602<\/a><\/li>\n<li>Doxey, G. V. (1975). A causation theory of visitor-resident irritants: Methodology and research additions. <em>Travel and Tourism Research Association Sixth Annual Conference Proceedings<\/em>, 195\u2013198.<\/li>\n<li>Fornell, C., &amp; Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. <em>Journal of Marketing Research<\/em>, 18(1), 39\u201350. <a href=\"https:\/\/doi.org\/10.1177\/002224378101800104\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1177\/002224378101800104<\/a><\/li>\n<li>Koens, K., Postma, A., &amp; Papp, B. (2018). Is overtourism overused? Understanding the impact of tourism in a city context. <em>Sustainability<\/em>, 10(12), 4384. <a href=\"https:\/\/doi.org\/10.3390\/su10124384\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.3390\/su10124384<\/a><\/li>\n<li>Lazarus, R. S., &amp; Folkman, S. (1984). <em>Stress, appraisal, and coping<\/em>. Springer Publishing Company.<\/li>\n<li>Moscovici, S. (1988). Notes towards a description of social representations. <em>European Journal of Social Psychology<\/em>, 18(3), 211\u2013250. <a href=\"https:\/\/doi.org\/10.1002\/ejsp.2420180303\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1002\/ejsp.2420180303<\/a><\/li>\n<li>World Tourism Organization (UNWTO). (2018). <em>\u2018Overtourism\u2019? \u2013 Understanding and managing urban tourism growth beyond perceptions<\/em>. UNWTO. <a href=\"https:\/\/doi.org\/10.18111\/9789284420070\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.18111\/9789284420070<\/a><\/li>\n<\/ul>\n<h2>13. Items of the Scale<\/h2>\n<div class=\"wpt-scale-items-container\" style=\"background:#ffffff; border:1px solid #e2e8f0; border-radius:12px; margin:28px 0; overflow:hidden; box-shadow:0 4px 12px rgba(0,0,0,0.03);\">\n<div class=\"wpt-scale-notice\" style=\"direction:ltr; text-align:left; background:#f8fafc; border-bottom:1px solid #e2e8f0; padding:14px 20px; font-size:13.5px; color:#475569; font-weight:500;\">\n    Below are the authentic scale items in their original language as published in the standard psychometric validation studies, without modification or translation to preserve instrument validity and reliability:\n  <\/div>\n<div class=\"wpt-scale-english-box\" style=\"direction:ltr; text-align:left; padding:20px 24px; font-family:-apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif; font-size:14.5px; color:#1e293b; line-height:1.7;\">\n<div class=\"wpt-scale-instructions\" style=\"background:#f1f5f9; border-left:4px solid #64748b; border-radius:0 8px 8px 0; padding:12px 16px; margin-bottom:16px; font-size:13.5px; color:#334155;\">\n      <strong style=\"color:#0f172a;\">Instructions \/ Directions:<\/strong> Please indicate your level of agreement with each of the following statements regarding tourism and its impacts in your city or residential area on a scale from 1 (Strongly Disagree) to 7 (Strongly Agree).\n    <\/div>\n<div class=\"wpt-scale-response-format\" style=\"background:#eff6ff; border-left:4px solid #3b82f6; border-radius:0 8px 8px 0; padding:12px 16px; margin-bottom:14px; font-size:13.5px; color:#1e40af;\">\n      <span class=\"arabpsy-eq\" dir=\"ltr\"><strong style=\"color:#1e3a8a;\">Response Scale:<\/strong> 7-point Likert scale (1 = Strongly Disagree to 7 = Strongly Agree)<\/span>\n    <\/div>\n<div class=\"wpt-scale-item-row\" style=\"background:#ffffff; border:1px solid #e2e8f0; border-radius:8px; padding:12px 16px; margin-bottom:10px; display:flex; align-items:flex-start; gap:12px; box-shadow:0 1px 2px rgba(0,0,0,0.02);\">\n  <span style=\"display:inline-flex; align-items:center; justify-content:center; min-width:28px; height:28px; background:#2563eb; color:#ffffff; font-weight:700; font-size:12.5px; border-radius:50%; flex-shrink:0; margin-top:1px;\">1<\/span><\/p>\n<div style=\"flex:1; color:#0f172a; font-size:14.5px; font-weight:500; line-height:1.6;\">The high number of tourists causes severe pedestrian congestion on local streets and sidewalks.<\/div>\n<\/div>\n<div class=\"wpt-scale-item-row\" style=\"background:#ffffff; border:1px solid #e2e8f0; border-radius:8px; padding:12px 16px; margin-bottom:10px; display:flex; align-items:flex-start; gap:12px; box-shadow:0 1px 2px rgba(0,0,0,0.02);\">\n  <span style=\"display:inline-flex; align-items:center; justify-content:center; min-width:28px; height:28px; background:#2563eb; color:#ffffff; font-weight:700; font-size:12.5px; border-radius:50%; flex-shrink:0; margin-top:1px;\">2<\/span><\/p>\n<div style=\"flex:1; color:#0f172a; font-size:14.5px; font-weight:500; line-height:1.6;\">Tourist traffic causes frequent traffic jams and gridlock in our city\/neighborhood.<\/div>\n<\/div>\n<div class=\"wpt-scale-item-row\" style=\"background:#ffffff; border:1px solid #e2e8f0; border-radius:8px; padding:12px 16px; margin-bottom:10px; display:flex; align-items:flex-start; gap:12px; box-shadow:0 1px 2px rgba(0,0,0,0.02);\">\n  <span style=\"display:inline-flex; align-items:center; justify-content:center; min-width:28px; height:28px; background:#2563eb; color:#ffffff; font-weight:700; font-size:12.5px; border-radius:50%; flex-shrink:0; margin-top:1px;\">3<\/span><\/p>\n<div style=\"flex:1; color:#0f172a; font-size:14.5px; font-weight:500; line-height:1.6;\">Public transportation is overcrowded because of tourists.<\/div>\n<\/div>\n<div class=\"wpt-scale-item-row\" style=\"background:#ffffff; border:1px solid #e2e8f0; border-radius:8px; padding:12px 16px; margin-bottom:10px; display:flex; align-items:flex-start; gap:12px; box-shadow:0 1px 2px rgba(0,0,0,0.02);\">\n  <span style=\"display:inline-flex; align-items:center; justify-content:center; min-width:28px; height:28px; background:#2563eb; color:#ffffff; font-weight:700; font-size:12.5px; border-radius:50%; flex-shrink:0; margin-top:1px;\">4<\/span><\/p>\n<div style=\"flex:1; color:#0f172a; font-size:14.5px; font-weight:500; line-height:1.6;\">Finding parking spaces in my neighborhood has become extremely difficult due to tourists.<\/div>\n<\/div>\n<div class=\"wpt-scale-item-row\" style=\"background:#ffffff; border:1px solid #e2e8f0; border-radius:8px; padding:12px 16px; margin-bottom:10px; display:flex; align-items:flex-start; gap:12px; box-shadow:0 1px 2px rgba(0,0,0,0.02);\">\n  <span style=\"display:inline-flex; align-items:center; justify-content:center; min-width:28px; height:28px; background:#2563eb; color:#ffffff; font-weight:700; font-size:12.5px; border-radius:50%; flex-shrink:0; margin-top:1px;\">5<\/span><\/p>\n<div style=\"flex:1; color:#0f172a; font-size:14.5px; font-weight:500; line-height:1.6;\">Popular public spaces and recreational areas are overcrowded with tourists.<\/div>\n<\/div>\n<div class=\"wpt-scale-item-row\" style=\"background:#ffffff; border:1px solid #e2e8f0; border-radius:8px; padding:12px 16px; margin-bottom:10px; display:flex; align-items:flex-start; gap:12px; box-shadow:0 1px 2px rgba(0,0,0,0.02);\">\n  <span style=\"display:inline-flex; align-items:center; justify-content:center; min-width:28px; height:28px; background:#2563eb; color:#ffffff; font-weight:700; font-size:12.5px; border-radius:50%; flex-shrink:0; margin-top:1px;\">6<\/span><\/p>\n<div style=\"flex:1; color:#0f172a; font-size:14.5px; font-weight:500; line-height:1.6;\">Tourism causes an increase in noise pollution in residential areas.<\/div>\n<\/div>\n<div class=\"wpt-scale-item-row\" style=\"background:#ffffff; border:1px solid #e2e8f0; border-radius:8px; padding:12px 16px; margin-bottom:10px; display:flex; align-items:flex-start; gap:12px; box-shadow:0 1px 2px rgba(0,0,0,0.02);\">\n  <span style=\"display:inline-flex; align-items:center; justify-content:center; min-width:28px; height:28px; background:#2563eb; color:#ffffff; font-weight:700; font-size:12.5px; border-radius:50%; flex-shrink:0; margin-top:1px;\">7<\/span><\/p>\n<div style=\"flex:1; color:#0f172a; font-size:14.5px; font-weight:500; line-height:1.6;\">Tourism increases litter and waste in public areas.<\/div>\n<\/div>\n<div class=\"wpt-scale-item-row\" style=\"background:#ffffff; border:1px solid #e2e8f0; border-radius:8px; padding:12px 16px; margin-bottom:10px; display:flex; align-items:flex-start; gap:12px; box-shadow:0 1px 2px rgba(0,0,0,0.02);\">\n  <span style=\"display:inline-flex; align-items:center; justify-content:center; min-width:28px; height:28px; background:#2563eb; color:#ffffff; font-weight:700; font-size:12.5px; border-radius:50%; flex-shrink:0; margin-top:1px;\">8<\/span><\/p>\n<div style=\"flex:1; color:#0f172a; font-size:14.5px; font-weight:500; line-height:1.6;\">Tourism puts excessive pressure on local municipal services (e.g., waste collection, maintenance).<\/div>\n<\/div>\n<div class=\"wpt-scale-item-row\" style=\"background:#ffffff; border:1px solid #e2e8f0; border-radius:8px; padding:12px 16px; margin-bottom:10px; display:flex; align-items:flex-start; gap:12px; box-shadow:0 1px 2px rgba(0,0,0,0.02);\">\n  <span style=\"display:inline-flex; align-items:center; justify-content:center; min-width:28px; height:28px; background:#2563eb; color:#ffffff; font-weight:700; font-size:12.5px; border-radius:50%; flex-shrink:0; margin-top:1px;\">9<\/span><\/p>\n<div style=\"flex:1; color:#0f172a; font-size:14.5px; font-weight:500; line-height:1.6;\">The natural and built environment is deteriorating due to the high volume of tourists.<\/div>\n<\/div>\n<div class=\"wpt-scale-item-row\" style=\"background:#ffffff; border:1px solid #e2e8f0; border-radius:8px; padding:12px 16px; margin-bottom:10px; display:flex; align-items:flex-start; gap:12px; box-shadow:0 1px 2px rgba(0,0,0,0.02);\">\n  <span style=\"display:inline-flex; align-items:center; justify-content:center; min-width:28px; height:28px; background:#2563eb; color:#ffffff; font-weight:700; font-size:12.5px; border-radius:50%; flex-shrink:0; margin-top:1px;\">10<\/span><\/p>\n<div style=\"flex:1; color:#0f172a; font-size:14.5px; font-weight:500; line-height:1.6;\">Tourism has led to a significant increase in the cost of living and local prices for goods and services.<\/div>\n<\/div>\n<div class=\"wpt-scale-item-row\" style=\"background:#ffffff; border:1px solid #e2e8f0; border-radius:8px; padding:12px 16px; margin-bottom:10px; display:flex; align-items:flex-start; gap:12px; box-shadow:0 1px 2px rgba(0,0,0,0.02);\">\n  <span style=\"display:inline-flex; align-items:center; justify-content:center; min-width:28px; height:28px; background:#2563eb; color:#ffffff; font-weight:700; font-size:12.5px; border-radius:50%; flex-shrink:0; margin-top:1px;\">11<\/span><\/p>\n<div style=\"flex:1; color:#0f172a; font-size:14.5px; font-weight:500; line-height:1.6;\">The conversion of housing into short-term tourist rentals has made long-term housing unaffordable for local residents.<\/div>\n<\/div>\n<div class=\"wpt-scale-item-row\" style=\"background:#ffffff; border:1px solid #e2e8f0; border-radius:8px; padding:12px 16px; margin-bottom:10px; display:flex; align-items:flex-start; gap:12px; box-shadow:0 1px 2px rgba(0,0,0,0.02);\">\n  <span style=\"display:inline-flex; align-items:center; justify-content:center; min-width:28px; height:28px; background:#2563eb; color:#ffffff; font-weight:700; font-size:12.5px; border-radius:50%; flex-shrink:0; margin-top:1px;\">12<\/span><\/p>\n<div style=\"flex:1; color:#0f172a; font-size:14.5px; font-weight:500; line-height:1.6;\">Traditional and everyday local shops are being replaced by souvenir stores and businesses aimed only at tourists.<\/div>\n<\/div>\n<div class=\"wpt-scale-item-row\" style=\"background:#ffffff; border:1px solid #e2e8f0; border-radius:8px; padding:12px 16px; margin-bottom:10px; display:flex; align-items:flex-start; gap:12px; box-shadow:0 1px 2px rgba(0,0,0,0.02);\">\n  <span style=\"display:inline-flex; align-items:center; justify-content:center; min-width:28px; height:28px; background:#2563eb; color:#ffffff; font-weight:700; font-size:12.5px; border-radius:50%; flex-shrink:0; margin-top:1px;\">13<\/span><\/p>\n<div style=\"flex:1; color:#0f172a; font-size:14.5px; font-weight:500; line-height:1.6;\">The behavior of some tourists is disruptive and disrespectful to the local culture and lifestyle.<\/div>\n<\/div>\n<div class=\"wpt-scale-item-row\" style=\"background:#ffffff; border:1px solid #e2e8f0; border-radius:8px; padding:12px 16px; margin-bottom:10px; display:flex; align-items:flex-start; gap:12px; box-shadow:0 1px 2px rgba(0,0,0,0.02);\">\n  <span style=\"display:inline-flex; align-items:center; justify-content:center; min-width:28px; height:28px; background:#2563eb; color:#ffffff; font-weight:700; font-size:12.5px; border-radius:50%; flex-shrink:0; margin-top:1px;\">14<\/span><\/p>\n<div style=\"flex:1; color:#0f172a; font-size:14.5px; font-weight:500; line-height:1.6;\">Residents feel displaced or like strangers in their own neighborhoods due to tourism.<\/div>\n<\/div>\n<div class=\"wpt-scale-item-row\" style=\"background:#ffffff; border:1px solid #e2e8f0; border-radius:8px; padding:12px 16px; margin-bottom:10px; display:flex; align-items:flex-start; gap:12px; box-shadow:0 1px 2px rgba(0,0,0,0.02);\">\n  <span style=\"display:inline-flex; align-items:center; justify-content:center; min-width:28px; height:28px; background:#2563eb; color:#ffffff; font-weight:700; font-size:12.5px; border-radius:50%; flex-shrink:0; margin-top:1px;\">15<\/span><\/p>\n<div style=\"flex:1; color:#0f172a; font-size:14.5px; font-weight:500; line-height:1.6;\">The high volume of tourists negatively affects the overall quality of life of local residents.<\/div>\n<\/div>\n<div class=\"wpt-scale-item-row\" style=\"background:#ffffff; border:1px solid #e2e8f0; border-radius:8px; padding:12px 16px; margin-bottom:10px; display:flex; align-items:flex-start; gap:12px; box-shadow:0 1px 2px rgba(0,0,0,0.02);\">\n  <span style=\"display:inline-flex; align-items:center; justify-content:center; min-width:28px; height:28px; background:#2563eb; color:#ffffff; font-weight:700; font-size:12.5px; border-radius:50%; flex-shrink:0; margin-top:1px;\">16<\/span><\/p>\n<div style=\"flex:1; color:#0f172a; font-size:14.5px; font-weight:500; line-height:1.6;\">The local government is failing to effectively manage and control the negative consequences of tourism growth.<\/div>\n<\/div><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>The Overtourism Perception Scale (OPS) is a comprehensive psychometric instrument assessing resident perceptions of tourism carrying capacity, spatial crowding, infrastructure strain, socio-cultural disruption, and quality of life impacts.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","categories":[1833,2,79],"tags":[3521,3523,3502,6,3520,3491,3522],"class_list":["post-812","psych_scale","type-psych_scale","status-publish","hentry","category-environmental-psychology","category-psychometrics","category-social-psychology","tag-carrying-capacity","tag-crowding","tag-overtourism","tag-psychometrics","tag-resident-perceptions","tag-sustainable-tourism","tag-tourism-impacts"],"_links":{"self":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale\/812","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale"}],"about":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/types\/psych_scale"}],"author":[{"embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=812"}],"version-history":[{"count":0,"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale\/812\/revisions"}],"wp:attachment":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=812"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=812"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=812"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}