Pivoting in a Pandemic for Leisure Travel Firms

Pivoting in a Pandemic for Leisure Travel Firms

Posted by Sita Thomas

Updated: May 12, 2020

Photo by Aaron Birch on Unsplash

Shiny App | GitHub Repository | LinkedIn

Background

The spread of COVID-19 has catastrophically damaged the travel industry. With obliterated revenues, many travel companies are making drastic decisions: “How can we stay afloat until the travel industry resumes?” These choices often include massive layoffs, massive loans, or bankruptcy. How can a travel company pivot their business to stay viable during this pandemic? Can pivoting prepare the company to lead the pack when the travel industry bounces back looking and functioning very differently than it did pre-pandemic?

Benefits of pivoting a business model versus cutting back until travel becomes viable again include generating revenue when future revenue from the old model is uncertain, retaining employees, their expertise, and the costs of their training, and retaining existing connections with networks in travel destinations and with vendors.

Instead of targeting people who travel temporarily, a business can target people who are more likely to continue to travel during a pandemic for reasons such as work relocation, education relocation, or retirement relocation.

Traveling for work, school, or retirement is often a large ordeal, a long time in the making. People traveling for these reasons may be less likely to cancel their plans than people traveling for mere days or weeks - visas, jobs and academic programs have set start dates and timelines, homes are sold/rented, possessions are sold/temporarily stored until ready to move, and financial commitments at the destination may be ineligible for refunds, like purchasing a home.

Despite the differences between permanent and long-term migrants and short-term travelers, many needs and wants overlap, like exploring the destination, making local connections, and accessing local resources.

New Offerings

Offerings that the travel company might design for its new groups of customers may include:

  • Many of the same types of travel offerings made to short-term travelers:
    • Geographic destinations
    • Cultural attractions
  • Recommendations and discounts on moving resources:
    • Neighborhood/housing help
    • Locating grocers, banks, hospitals, and other essential businesses.
  • Connecting migrants:
    • Guides, organizations, social sponsors
    • Ex-pats from their own countries
    • Other recent migrants

Data Collection

Deciding how to pivot in an effective and efficient manner requires data. While one case study cannot be extrapolated out to all destinations, it can illustrate the questions and analysis needed to successfully shift. The case study included here focuses on migration to New Zealand, and includes a sampling of extensive and ongoing data collection. It is not a comprehensive analysis, and leaves many questions. The insights it does provide are an excellent starting place, and the questions it leaves allow for a deep dive into the expanded data collection and related data sets from other sources.

The data tables used for this case study were acquired from the New Zealand government:

The regional shapefiles were also acquired from the New Zealand government:

The data needed minimal processing - there were few null values to eliminate and no statistical methods were run on the data.

Interactive Visualization App

The app is a Shiny Dashboard app, the charts were made with ggplot2, and the map was made with Leaflet.

Sita Thomas

Knowledge is power. I leverage fierce curiosity and creativity to deliver immediate and impactful results for mission-driven companies. I weave together nearly 20 years of research & statistics, communication arts, and business development to offer sophisticated analytics, data visualization, and machine learning. I maximize revenue, strategize pricing and marketing plans, improve user experience, and make solid predictions. I've worn many hats in a variety of industries, which allows me to view problems from all angles, employing data-validated intuition and collaborative leadership to solve them. Ultimately, I enhance human connection and capability by improving our understanding of each other and the world around us.

View all articles

Topics from this blog: data science bootcamp data science Data Scientist Data Visualization R Visualization visualization nyc data science academy data Student Works R Programming leaflet Shiny R Shiny Shiny Dashboard Part-time Data Analyst Data Science Academy Online Bootcamp NYC Data Science Remote Programming Online NYCDSA Online Training remote data science bootcamp

Interested in becoming a Data Scientist?

Get Customized Course Recommendations In Under a Minute