Article detail · 2020
Economic outcomes predicted by diversity in cities
Journal
EPJ Data Science- Year
- 2020
- Type
- article
Data source split
- YÖKSİS venue EPJ Data Science
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
OpenAlex · English
Abstract Much recent work has illuminated the growth, innovation, and prosperity of entire cities, but there is relatively less evidence concerning the growth and prosperity of individual neighborhoods. In this paper we show that diversity of amenities within a city neighborhood, computed from openly available points of interest on digital maps, accurately predicts human mobility (“flows”) between city neighborhoods and that these flows accurately predict neighborhood economic productivity. Additionally, the diversity of consumption behaviour or the diversity of flows together with geographic centrality and population density accurately predicts neighborhood economic growth, even after controlling for standard factors such as population, etc. We develop our models using geo-located purchase data from Istanbul, and then validate the relationships using openly available data from Beijing and several U.S. cities. Our results suggest that the diversity of goods and services within a city neighborhood is the largest single factor driving both human mobility and economic growth.
Topics
Citations
OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.
44 citations
OpenAlex cited_by_count (cache / database)
9 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- Unveiling the daily rhythm of urban space: Exploring the influence of built environment on spatiotemporal mobility patterns 2024
- Unveiling the daily rhythm of urban space: Exploring the influence of built environment on spatiotemporal mobility patterns 2024
- Predicting merchant future performance using privacy-safe network-based features 2023
- Disaggregating sales prediction: A gravitational approach 2023
- Evaluating the Morphological and Functional Centrality: An Integrated Approach To Spatial Structure 2026
- Investigating neighborhood adaptability using mobility networks: a case study of the COVID-19 pandemic 2024
- Can financial transactions reveal the change in social fabric triggered by urban regeneration? 2024
- Can financial transactions reveal the change in social fabric triggered by urban regeneration? 2024
- One City, Two Tales: Using Mobility Networks to Understand Neighborhood Resilience and Fragility during the COVID-19 Pandemic 2022