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Title:

A Framework for Quantifying Airbnb Supply, Occupancy Rates and Travel Purpose to Support Visitor Modeling

Accession Number:

01663963

Record Type:

Component

Abstract:

Non-resident visitor models have not evolved much since they were implemented in a four-step framework a few decades ago. Recent utilization of cell phone data to identify visitor travel patterns has improved our understanding of visitor traveler behavior. However, limited research has been conducted on better capturing visitor residence supply information other than relying on establishment-based databases to identify hotel location. These datasets often suffer from missing information about number of rooms, type of hotel services, and more importantly pricing data. In addition, home-rental services such as Airbnb which provide an alternative form of accommodation for visitors have largely been ignored. There is a need to study data from services such as Airbnb to better understand how these systems operate in urban areas, how they compete or complement the existing hotel market, and their impacts on the transportation system. This research describes a variety of sources that may be utilized to obtain more specific hotel location, and a new way to obtain transportation-relevant data from Airbnb listings. This research compares the hotel and Airbnb listings within the Los Angeles area to describe the growing importance of capturing Airbnb data when developing visitor models. A framework is described to use the Airbnb data to determine key metrics that are relevant to visitor modeling such as quantifying Airbnb supplies based on the listing data, measuring occupancy rates using calendar data, and capturing travel purpose through customer review data. Finally, the impact of Airbnb users on regional travel patterns is documented.

Supplemental Notes:

This paper was sponsored by TRB committee ABJ30 Standing Committee on Urban Transportation Data and Information Systems. Alternate title: A Framework for Quantifying Airbnb Supply, Occupancy Rates, and Travel Purpose to Support Visitor Modeling

Report/Paper Numbers:

18-05542

Language:

English

Authors:

Wang, Chao
Komanduri, Anurag
Viswanathan, Krishnan
Rossi, Thomas
West, Ronald

Pagination:

18p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Maps; References; Tables

Identifier Terms:

Airbnb

Geographic Terms:

Los Angeles (California)

Subject Areas:

Highways; Planning and Forecasting

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-05542

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 11:25AM