Facing divergent supply and demand trajectories in Australian caravanning
Bibliographic record
Abstract
The caravan park sector of the Australian leisure accommodation industry currently provides 50% of total domestic bed capacity. Recent decades have seen a gradual decline in caravan park establishments and despite its continuing market dominance in terms of bed capacity, the industry today is only a mere shadow of its former glory days in the mid 1970s. A current resurgence in caravanning, as a subset of drive tourism, has seen an increase in registrations of new campervans and motor homes of over 19% in the last 5 years alone. This inverse relationship between downward-trending park capacity and upward-trending recreational vehicle 1 registrations raises significant capacity issues for leisure accommodation. This article examines supply-side elements of caravanning – elements largely overlooked in the demand-side focused literature – through a case study of caravan parks of the Tweed Shire in northern New South Wales (NSW), Australia. It innovatively adapts the theoretical framework of Butler’s ( Canadian Geographer 1980; 24: 5–12) tourist area life cycle (TALC) to an industry subsector, caravan parks, to examine time-series trends in park-based site-mix options and capacity. The study found that traditional site infrastructure, geared towards mobile accommodation forms of caravans and tents, is giving way to fixed forms of relocatable homes and ensuite cabins. In an environment of increasing demand for the caravanning experience but decreasing parks, and thus decreasing total site capacity, the contrasting trends are predicted to create a serious accommodation facilities shortage for the caravanning sector of the tourism industry. It concludes that the broad pattern of caravan park development, through site-mix analysis, is in alignment with the six stages of the TALC, as proposed by Butler ( Canadian Geographer 1980; 24: 5–12). Market forces have, to date, propelled caravan parks to their current stage of the TALC. However, the path to a sustainable future for Australian caravan parks will now predominately be determined through their own proactive management intervention.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".