Towards a Model of Urban Evolution Part IV: Evolutionary (Formetic) Distance—An Interpretation of Yelp Review Data

Author:

Fox Mark S.ORCID,Silver DanielORCID,Silva ThiagoORCID,Zhang Xinyi

Abstract

This paper is part IV of “towards a model of urban evolution”. It demonstrates how the Toronto Urban Evolution Model (TUEM) can be used to encode city data, illuminate key features, demonstrate how formetic distance can be used to discover how spatial areas change over time, and identify similar spatial areas within and between cities. The data used in this study are reviews from Yelp. Each review can be interpreted as a formeme where the category of the business is a form, the reviewer is a group and the review is an activity. Yelp data from neighbourhoods in both Toronto and Montreal are encoded. A method for aggregating reviewers into groups with multiple members is introduced. Longitudinal analysis is performed for all Toronto neighbourhoods. Transversal analysis is performed between neighbourhoods within Toronto and between Toronto and Montreal. Similar neighbourhoods are identified validating formetic distance.

Funder

University of Toronto Connaught Global Challenge Award

University of Toronto School of Cities Urban Challenge Fund

Publisher

MDPI AG

Subject

General Medicine

Reference11 articles.

1. Fox, M., Silver, D., and Adler, P. (2022, April 01). Towards a Model of Urban Evolution II: Formal Model. Urban Science. Available online: https://osf.io/preprints/socarxiv/9pvq2/.

2. Silver, D., Adler, P., and Fox, M.S. (2022, April 01). Towards a Model of Urban Evolution I: Context. Urban Science. Available online: https://osf.io/preprints/socarxiv/yubkr/.

3. Silver, D., Fox, M., and Adler, P. (2022, April 01). Towards a Model of Urban Evolution Part III: Variation, Selection, Retention. Urban Science. Available online: https://osf.io/preprints/socarxiv/gtpfw/.

4. Silver, D., and Silva, T.H. (2021). Complex Causal Structures of Neighbourhood Change: Evidence from a Functionalist Model and Yelp Data. SocArXiv, Available online: https://osf.io/preprints/socarxiv/wprf8/.

5. Classification and regression via integer optimization for neighborhood change;Olson;Geogr. Anal.,2021

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