A Machine Learning Application to Google Maps Reviews as A Participatory Planning Tool

26 Pages Posted: 1 Dec 2023

See all articles by Melike Akkaya

Melike Akkaya

Istanbul Technical University

Özlem Özçevik

Istanbul Technical University

Emre Tepe

University of Florida

Abstract

Public participation is vital to achieving successful plan outcomes, whereas meaningful participation requires at least informing and consulting the public. However, collecting frequent feedback from the public is a labor-intensive process. Information technologies like Google Maps Reviews offer to collect extensive public inputs by allowing users to share their feedback and ratings about services. Machine learning methods are ideal for analyzing these reviews to under-stand users’ experiences. This study proposes a machine learning application to examine feedback on the selected parks in Istanbul, Turkey using Google Maps Reviews. The introduced method supports surveys and interview methods preferred by planners.

Keywords: public participation, user experience, XGBoost, Shapley value, Istanbul

Suggested Citation

Akkaya, Melike and Özçevik, Özlem and Tepe, Emre, A Machine Learning Application to Google Maps Reviews as A Participatory Planning Tool. Available at SSRN: https://ssrn.com/abstract=4641788

Melike Akkaya (Contact Author)

Istanbul Technical University ( email )

Ayazaga Kampusu
Fen Edebiyat Fakultesi
İstanbul
Turkey

Özlem Özçevik

Istanbul Technical University ( email )

Ayazaga Kampusu
Fen Edebiyat Fakultesi
İstanbul
Turkey

Emre Tepe

University of Florida ( email )

PO Box 117165, 201 Stuzin Hall
Gainesville, FL 32610-0496
United States

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