Evidence map›Paper›PMID 37020496›Full record

ArticlePNAS nexus2023

Diversity beyond density: Experienced social mixing of urban streets.

Zhuangyuan Fan, Tianyu Su, Maoran Sun, Ariel Noyman, Fan Zhang, Alex 'Sandy' Pentland, Esteban Moro

Abstract read
In one paragraph

Article in PNAS nexus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Urban highways are barriers to social ties.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
  6. Article
  7. How people are exposed to neighborhoods racially different from their own.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Article
  9. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Zhuangyuan FanSenseable City Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.ORCID https://orcid.org/0000-0001-8642-694X
Tianyu SuGraduate School of Design, Harvard University, Cambridge, MA 02138, USA.ORCID https://orcid.org/0000-0003-1702-8600
Maoran SunSenseable City Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.ORCID https://orcid.org/0000-0001-7218-3553
Ariel NoymanMedia Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Fan ZhangDepartment of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong, Hong Kong SAR.ORCID https://orcid.org/0000-0002-3643-018X
Alex 'Sandy' PentlandMedia Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Esteban MoroMedia Lab, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.ORCID https://orcid.org/0000-0003-2894-1024

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urban density, in the form of residents' and visitors' concentration, is long considered to foster diverse exchanges of interpersonal knowledge and skills, which are intrinsic to sustainable human settlements. However, with current urban studies primarily devoted to city- and district-level analyses, we cannot unveil the elemental connection between urban density and diversity. Here we use an anonymized and privacy-enhanced mobile dataset of 0.5 million opted-in users from three metropolitan areas in the United States to show that at the scale of urban streets, density is not the only path to diversity. We represent the diversity of each street with the experienced social mixing (ESM), which describes the chances of people meeting diverse income groups throughout their daily experience. We conduct multiple experiments and show that the concentration of visitors only explains 26% of street-level ESM. However, adjacent amenities, residential diversity, and income level account for 44% of the ESM. Moreover, using longitudinal business data, we show that streets with an increased number of food businesses have seen an increased ESM from 2016 to 2018. Lastly, although streets with more visitors are more likely to have crime, diverse streets tend to have fewer crimes. These findings suggest that cities can leverage many tools beyond density to curate a diverse and safe street experience for people.

Indexed as

built environmentcomputer visionhuman mobilityincome segregationsocial mixing

Identifiers

PMID37020496
PMCPMC10069616

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.