Approaches to Studying Tourism: Methods, Models & Applications

TAKEAWAYS:

• Jafari’s Four Platforms classify tourism studies into annual, periodic, episodic, and daily travel, helping businesses target specific tourist behaviors (e.g., Daraz’s seasonal promotions for episodic tourists).
• Systems Theory treats tourism as an interconnected network (transport, accommodation, attractions) where changes in one sector (e.g., Ncell’s 5G rollout) ripple across the industry.
• Demand-Supply Models explain how tourist flows (e.g., Kathmandu’s traffic congestion during Dashain) are shaped by economic, cultural, and technological factors, with push-pull theory identifying motivations (e.g., Pathao riders’ need for convenience vs. Pokhara’s scenic pull).
• Psychological Approaches (e.g., Maslow’s hierarchy) reveal why tourists seek experiences (e.g., NEPSE investors’ adrenaline-driven stock trading as "tourism" for thrill-seekers).
• Technology’s Role in tourism research includes big data analytics (used by Khalti to predict peak travel seasons) and AI-driven personalization (e.g., Google Flights’ route suggestions).
• Career Applications: These approaches inform roles like tourism data analysts (using demand-supply models), cultural heritage managers (applying Jafari’s platforms), or sustainability consultants (systems theory for eco-tourism).

1. Introduction: Why Study Tourism Through Multiple Approaches?

Tourism is a multidisciplinary field that blends economics, psychology, technology, and sociology. No single approach can fully explain its complexities—just as a traffic jam in Thamel (caused by rickshaws, buses, and pedestrians) cannot be understood by studying only one mode of transport. To analyze tourism effectively, scholars and practitioners use four primary approaches, each offering a unique lens:

mindmap
  root((Approaches to Studying Tourism))
    Jafari's Four Platforms
      Annual Travel
      Periodic Travel
      Episodic Travel
      Daily Travel
    Systems Theory
      Inputs (Resources)
      Processes (Activities)
      Outputs (Impacts)
      Feedback Loops
    Demand-Supply Models
      Push Factors (Motivations)
      Pull Factors (Destinations)
      Intervening Variables (Barriers)
    Psychological Approaches
      Maslow's Hierarchy
      Tourist Motivation Theories
      Behavioral Economics

Key Idea: These approaches are not mutually exclusive—they complement each other. For example, studying eSewa’s tourism booking system requires:

• Jafari’s platforms (how often users book flights/hotels),
• Systems theory (how eSewa interacts with banks, airlines, and hotels),
• Demand-supply models (why users choose eSewa over competitors),
• Psychology (why users trust eSewa’s reviews).

2. Jafar Jafari’s Four Platforms of Tourism

Jafar Jafari, a pioneer in tourism studies, classified tourism into four platforms based on the frequency and purpose of travel. This framework helps businesses and policymakers segment tourists and tailor services accordingly.

The Four Platforms

Why This Matters for Nepal’s Tourism

• Seasonal Fluctuations: Nepal’s tourism is 80% episodic (short-term visitors), making revenue unpredictable. Understanding this helps businesses diversify offerings (e.g., luxury hotels for annual travelers).
• Festival-Driven Economy: Periodic travel (e.g., Dashain) accounts for 30% of annual tourist arrivals. Hotels and airlines adjust pricing based on this.
• Urban vs. Rural Tourism: Daily travel (e.g., Kathmandu-Pokhara shuttles) is critical for domestic tourism, which is often overlooked.

Worked Example: Daraz’s Tourism Marketing Strategy Daraz uses Jafari’s platforms to segment its travel-related products:

• Annual: Sells laptops/tablets to digital nomads staying long-term.
• Periodic: Offers festival-themed packages (e.g., "Dashain Survival Kit" with snacks and gifts).
• Episodic: Promotes last-minute deals for backpackers.
• Daily: Partners with Pathao for discounted rides to tourist spots.

3. Systems Theory in Tourism: How Everything Connects

Tourism is a complex system where inputs, processes, outputs, and feedback loops interact. Systems theory helps us understand how changes in one part (e.g., NTC’s bus strikes) affect the whole industry.

flowchart TD
  A["Inputs: Resources"] --> B["Processes: Activities"]
  B --> C["Outputs: Impacts"]
  C --> D["Feedback Loops"]
  A -->|"Example: Foreign Exchange"| E["Nepali Rupee Strength"]
  B -->|"Example: Flight Delays"| F["Ncell’s Roaming Services"]
  C -->|"Example: Air Pollution"| G["Government Bans on Private Vehicles"]
  D -->|"Example: Tourist Complaints"| H["Hotels Improve Service"]

Key Components of Tourism Systems

Real-World Application: NTC’s Role in Tourism Systems

• Input: Government subsidies for NTC buses (a key transport input).
• Process: Buses connect Kathmandu to Pokhara/Lumbini, enabling tourism.
• Output: 1.5 million tourists annually use NTC services.
• Feedback: When NTC increases fares, tourists switch to private buses or flights, reducing NTC’s revenue.

Worked Example: Climate Change as a Feedback Loop

• Input: Melting glaciers (e.g., Himalayan ice loss) reduce trekking routes.
• Process: Fewer tourists visit Everest Base Camp.
• Output: Trekking permit revenue drops by 15%.
• Feedback: Government promotes alternative destinations (e.g., Annapurna Circuit).

4. Demand-Supply Models: Push and Pull Factors

Tourism demand and supply are influenced by push factors (why people travel) and pull factors (why they choose a destination). Understanding these helps businesses attract tourists and governments regulate flows.

flowchart LR
    A["Push Factors (Motivations)"] --> B["Intervening Variables (Barriers)"]
    B --> C["Pull Factors (Destinations)"]
    A -.->|"Example: Pathao riders' need for convenience"| A
    C -.->|"Example: Pokhara's scenic pull"| C
    B -.->|"Example: Cost, Time, Visa"| B

Push and Pull Factors in Tourism

Intervening Variables: Barriers to Tourism

Not all motivated tourists reach their destination due to intervening variables:

• Economic: High flight costs (e.g., $500+ for Kathmandu flights from Europe).
• Technological: Poor internet in remote areas (e.g., Manang during monsoon).
• Political: Visa restrictions (e.g., China’s ban on Nepali tourists during COVID).
• Cultural: Language barriers (e.g., English-only menus in Kathmandu hotels).

Worked Example: Why Fewer Tourists Visit Mustang

• Push: Adventure seekers want to explore Upper Mustang.
• Pull: Unique Tibetan culture and landscapes.
• Intervening Variables:
  • Permit costs ($500 for foreigners).
  • Limited flights (only Pokhara-Kathmandu-Mustang routes).
  • Seasonal closures (monsoon floods block roads).

Solution: Nepal Tourism Board could partner with airlines to offer discounted permits + flights.

5. Psychological Approaches to Tourism

Tourists’ motivations, expectations, and behaviors are shaped by psychological theories. Understanding these helps businesses design experiences that satisfy visitors.

Key Psychological Theories

Worked Example: Why Nepali Tourists Use eSewa for Bookings

• Psychological Need: Convenience (push factor).
• eSewa’s Pull Factors:
  • One-click payments (reduces cognitive load).
  • Loyalty points (gamification for repeat bookings).
  • Social proof (reviews from other users).
• Behavioral Economics: eSewa uses loss aversion ("Book now or prices rise!").

6. Technology’s Role in Tourism Research

Modern tourism studies rely on data analytics, AI, and digital platforms to predict trends and personalize experiences.

Key Technological Approaches

Worked Example: Khalti’s Data-Driven Tourism Promotions

• Data Source: Khalti tracks spending patterns (e.g., March–May = peak trekking season).
• AI Prediction: Identifies high-intent users (those researching trekking gear).
• Personalized Offer: Sends discounts on trekking permits via Khalti app.
• Result: 20% increase in spring bookings.

7. Career Opportunities Using These Approaches

Understanding these approaches opens doors to diverse tourism careers:

In the Real World

1. eSewa’s Tourism Booking System

   • Approach Used: Demand-Supply Models + Technology
   • How It Works: eSewa analyzes past booking data (supply) and user searches (demand) to predict peak times (e.g., March–May for trekking). It then dynamically adjusts prices and sends personalized offers via SMS.
   • Real Impact: During Dashain, eSewa sees a 300% spike in domestic bookings and automatically increases hotel prices in Kathmandu by 20%.

2. NTC’s Bus Route Optimization

   • Approach Used: Systems Theory + Demand-Supply
   • How It Works: NTC uses traffic data (inputs) to adjust bus frequencies (processes). If Pokhara-Kathmandu routes are overcrowded (output), NTC adds more buses (feedback).
   • Real Impact: Reduced traffic jams by 15% during peak seasons.

3. Nepal Tourism Board’s "Visit Nepal 2020" Campaign

   • Approach Used: Psychological + Jafari’s Platforms
   • How It Works: The campaign targeted:
     • Episodic tourists (backpackers) with Instagram ads.
     • Annual travelers (expatriates) with long-term visa incentives.
     • Psychological appeal: "Live the adventure of a lifetime" (tapping into self-actualization).
   • Real Impact: 1.1 million tourists in 2019 (pre-COVID), but oversaturation led to traffic and pollution issues, showing the need for systems-based planning.

Exam Tip

This unit is highly conceptual but application-based. Examiners love real-world examples, so always tie theories to Nepalese tourism. Here’s how to score full marks:

Do’s:

✅ Use Jafari’s platforms to explain tourist segmentation (e.g., "eSewa targets episodic tourists with last-minute deals"). ✅ Apply systems theory to NTC, airlines, or hotels (e.g., "A strike by NTC bus drivers is an input disruption affecting tourism outputs"). ✅ Link demand-supply to psychology (e.g., "Push factor: relaxation → Pull factor: Pokhara’s lakes → Intervening variable: high hotel prices"). ✅ Discuss technology with Nepali examples (e.g., "Khalti uses AI to predict booking trends"). ✅ Compare approaches in tables (e.g., push-pull factors vs. Maslow’s hierarchy).

Don’ts:

❌ Don’t just define terms—always apply them to Nepal. ❌ Avoid vague examples (e.g., "tourists visit Paris" → say "backpackers choose Pokhara for its lakes"). ❌ Don’t ignore technology—it’s a major focus in modern tourism studies. ❌ Don’t mix up Jafari’s platforms (e.g., confusing periodic with episodic).

Sample Exam Question & Answer Structure

Question: "Explain the different approaches to studying tourism with examples. Why is it necessary to study tourism through multiple approaches?"

Model Answer: Tourism is studied through four key approaches: Jafari’s platforms, systems theory, demand-supply models, and psychological perspectives. Each provides a unique lens:

1. Jafari’s Four Platforms

   • Annual: Nepali students in Australia (long-term stay).
   • Periodic: Dashain pilgrims visiting temples.
   • Episodic: Backpackers trekking in Annapurna (short-term).
   • Daily: Commuters using Pathao in Kathmandu.
   • Why? Helps businesses segment tourists (e.g., Daraz offers different products for each group).

2. Systems Theory

   • Tourism is a network where inputs (money, infrastructure), processes (transport, attractions), and outputs (GDP, pollution) interact.
   • Example: NTC’s bus strikes (input disruption) → fewer tourists (output) → hotels lose revenue (feedback).
   • Why? Shows interdependencies (e.g., flight delays affect hotels).

3. Demand-Supply Models

   • Push: Escape routine (e.g., city dwellers seeking relaxation).
   • Pull: Pokhara’s lakes (destination appeal).
   • Intervening: High flight costs (barrier).
   • Example: Fewer European tourists in winter due to €500 flight prices.
   • Why? Helps predict trends (e.g., spring = peak trekking season).

4. Psychological Approaches

   • Maslow’s Hierarchy: Trekkers seek self-actualization (adventure).
   • Cognitive Dissonance: Luxury trekkers justify high costs by emphasizing unique experiences.
   • Example: eSewa’s personalized offers tap into convenience needs.
   • Why? Explains tourist behaviors (e.g., why people post on Instagram).

Conclusion: Studying tourism through multiple approaches is essential because:

• No single method captures all complexities (e.g., psychology explains why people travel, but systems theory explains how industries adapt).
• Real-world problems require interdisciplinary solutions (e.g., overtourism in Kathmandu needs psychological (tourist motivations), systems (transport policies), and technological (AI traffic management) fixes).
• Career roles (e.g., tourism analysts) require integrated knowledge of all approaches.

Final Tip: Draw diagrams in exams where possible (e.g., Jafari’s platforms, systems theory flowchart). Visuals = extra marks!

In the real world

• Khalti uses big data analytics (a Technology approach) to analyze transaction patterns and predict peak travel seasons, allowing them to optimize server capacity and offer targeted cashback deals during high-demand periods like Dashain.
• Nepal Tourism Board applies Jafari’s Four Platforms to segment marketing efforts; for instance, they promote long-term visa packages and real estate to Annual Travelers (expats/digital nomads) while focusing on short-term trekking itineraries for Episodic Travelers.
• Ncell leverages Systems Theory to understand the ripple effects of their 5G rollout; by improving connectivity in tourist hubs like Pokhara, they enhance the 'Process' layer of the tourism system, leading to better 'Outputs' such as increased international bookings via mobile apps.