VCE Geography (Year 11) · Unit 2 — Tourism: Issues and Challenges · 15m read

Tourism — Growth and Patterns

Ever wonder why your Instagram feed is flooded with travel photos? Tourism has exploded globally, becoming one of the world's biggest industries—before COVID-19, it was worth over $1.7 trillion yearly. You'll explore what's driving this growth, from cheaper flights and social media to rising incomes in developing countries, and how tourism shapes different regions in completely different ways. This stuff matters for VCE Geography because tourism literally reshapes economies, environments, and communities, and understanding these patterns helps you see how our connected world really works.

Learning objective: Explain the global growth of tourism and the factors that have driven it.

By the end of this lesson you can:

I can describe global trends in international tourist arrivals.
I can explain the factors driving tourism growth.
I can distinguish between international and domestic tourism.

Tourism is a global migration of holidaymakers. Cheap flights, rising incomes and social media send billions of travellers across the world each year.

Global tourism trends and drivers

### The scale of global tourism

International tourist arrivals grew from ~25 million (1950) to ~1.4 billion (2019) before COVID-19 caused a dramatic collapse to ~381 million (2020).

Recovery post-COVID: ~1.3 billion in 2023 — nearly recovered to pre-pandemic levels.

### Types of tourism

International tourism: Travel to another country.
Domestic tourism: Travel within one's own country.
Inbound: Visitors arriving in a country.
Outbound: A country's residents travelling abroad.

### Top tourist destinations (2023)

France (~100 million arrivals)
Spain
USA
China
Italy

### Top tourist origin countries

Outbound tourism dominated by: China, Germany, USA, UK, France.

### Drivers of tourism growth

Economic:
- Rising global incomes and an expanding middle class (especially in China, India, South-East Asia).
- More affordable air travel (low-cost carriers — Jetstar, Ryanair, Air Asia).

Technological:
- Internet booking platforms (Booking.com, Airbnb, Expedia).
- Social media inspiration (Instagram "must-see" destinations).
- Smartphone navigation and real-time travel information.

Social:
- More paid annual leave in developed countries.
- Increased life expectancy → longer active retirement.
- "Experience economy" — status from experiences, not just possessions.

Transport:
- Jet aviation made long-haul affordable and fast.
- High-speed rail expanded domestic tourism in Europe and China.
- Cruise industry growth.

### Tourism geography — push and pull factors

Push factors (why people leave home): wanting new experiences, escaping routine or weather, seeking health/relaxation.

Pull factors (why people go to specific destinations): climate, natural beauty, culture/history, value for money, safety, unique experiences.

Quick reference

| Driver | Example |
|---|---|
| Rising incomes | Middle class growth |
| Cheaper transport | Budget airlines |
| Technology | Online booking |
| Social media | Destination trends |
| Types | Ecotourism, cultural, adventure |

Key ideas at a glance

Use data: UNWTO statistics.
Spatial patterns: Where tourists go.
Types of tourism: Classify.
Trends over time: Growth, COVID dip.

Worked example (Hard)

Analyse why China has become the world's largest source of outbound tourists since 2012, using geographic and economic factors.

Economic growth. China's GDP per capita grew from ~$1,000 (2001) to ~$12,500 (2023). An expanding middle class of 400+ million people now has discretionary income for international travel — tourism is income-elastic.
Government policy. China relaxed passport restrictions and outbound travel regulations from the early 2000s. By 2019, over 150 million Chinese tourists travelled internationally annually.
Technology. Chinese digital platforms (Ctrip/Trip.com, WeChat, Alipay) made booking and paying for international travel seamless. Social media (Weibo, Douyin) drives destination awareness.
Geographic factors. China's proximity to South-East Asia, Japan, and South Korea provides affordable short-haul destinations. Long-haul destinations (Europe, Australia) are also accessible given rising incomes and airline competition.

Answer: China's outbound tourism explosion reflects rapid economic growth, government liberalisation of travel, digital technology, and geographic proximity to popular destinations. This has reshaped global tourism patterns and destination marketing.

Worked example (Medium)

Australian international tourist arrivals were 9.5 million in 2019 and 7.3 million in 2023. Calculate the percentage change and discuss two likely drivers.

Change. 7.3 − 9.5 = −2.2 million.
Percentage. −2.2 / 9.5 × 100 ≈ −23.2%.
Driver 1. COVID-19 border closures and the slow recovery of long-haul tourism.
Driver 2. Cost-of-living pressures in source markets reducing discretionary travel.

Answer: Australia received about 23% fewer international visitors in 2023 than 2019, mainly due to lingering COVID effects and constrained discretionary spending.

Common mistakes

Listing tourism growth factors without explaining the causal mechanism VCAA requires explanation, not just listing. Fix: For each factor, explain HOW it drives growth: e.g., "Rising incomes created a middle class with discretionary spending power for travel — tourism is income-elastic, meaning spending on travel rises proportionally faster than income."
Ignoring the COVID-19 disruption when discussing trends The 2020-22 collapse was the most significant event in modern tourism history. Fix: Acknowledge the disruption: "International arrivals dropped from 1.4 billion (2019) to 381 million (2020) due to COVID-19 border closures, recovering to ~1.3 billion by 2023."
Confusing push and pull factors Push factors drive people away from home; pull factors attract them to specific destinations. Fix: Push: routine, cold weather, stress. Pull: warm climate, culture, natural beauty, value for money. Some factors can be both.

The tourism area life cycle — Butler's model

Geographer Richard Butler (1980) proposed that tourist destinations go through a predictable life cycle, similar to a product life cycle in economics. Understanding this model helps explain why some destinations thrive while others decline.

Stage 1 — Exploration: Small numbers of adventurous tourists discover the destination. Infrastructure is minimal. Local culture is authentic and unaffected.

Stage 2 — Involvement: Local residents begin providing facilities for tourists. Tourist numbers grow. Some environmental and social changes begin.

Stage 3 — Development: Large-scale investment arrives (hotels, airports, attractions). Tourist numbers grow rapidly. Environmental and social impacts become significant.

Stage 4 — Consolidation: Tourism dominates the local economy. Growth slows. Some environmental degradation becomes visible.

Stage 5 — Stagnation: The destination reaches its carrying capacity. Environmental problems and overcrowding reduce visitor satisfaction. The destination's image may decline.

Stage 6 — Decline or Rejuvenation: Without intervention, the destination declines as tourists move to newer alternatives. OR the destination reinvents itself through new attractions, improved management, or sustainable tourism initiatives.

Application: Bali shows signs of stagnation (overtourism, water stress, waste problems). Queenstown (NZ) has attempted rejuvenation through adventure tourism branding. Understanding where a destination sits on this cycle helps evaluate the sustainability of its tourism model.

Practice questions

International tourist arrivals declined dramatically in 2020 primarily due to:
1. Climate change making destinations unsafe
2. COVID-19 pandemic restrictions and border closures
3. Running out of natural attractions
4. Competition from virtual reality travel
(1 marks)
Explain THREE factors that have driven the growth of global tourism since 1950.
(3 marks)

Summary

Tourism grew from 25M arrivals (1950) to 1.4B (2019). COVID caused dramatic drop; recovering by 2023.
Top destinations: France, Spain, USA, China, Italy.
Drivers: rising incomes, affordable air travel, digital technology, more leisure time.
Push factors: why leave home. Pull factors: why this destination.