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Abbiasov, T., Heine, C., Sabouri, S. et al. The 15-minute city quantified using human mobility data. Nat Hum Behav 8, 445–455 (2024)

Objective:

  • Existing studies tend not to address potential drawbacks of the 15-minute city model, including the risk of heightened socio-economic segregation as a possible consequence of an intensified focus on localized living

Case:

  • US

Methodology:

  • 15-minute usage: the proportion of trips originating in each neighborhood that were aimed explicitly towards these essential amenities and occured within a 15-min walk from the neighborhood’s population-weighted centroid
    • OpenRouteservice API
  • Robustness: subgroup
  • IV

Data Source: Open

  • Smartphone from SafeGraph
  • Socialeconomic: American community survey
  • Commuting length: Employment-household dynamics origin-destination employment statistics
  • Public transit frequency: Environmental protection agency
  • Historical data (IV): 1961 zoning handbook
  • County business: 2019 census county business patterns
  • Physical segregation index
    • Experienced integration: $Int_{k_i,l} = \frac{\sum_{k_j} p_{k_j, L} * s_{k_i \rightarrow k_j}}{\sum_{k_j} p_{k_{j,L}}}$, $s_{k_i \rightarrow k_j} = |r_i-r_j |$
    • Where $p_{k_j, L}$ is the number of people of income $k$ who visit $L$ and $r$ is the income rank
    • Aggregated: $Int_j = \frac{\sum_{L \in POIs} Int_{k_j,l} \times p_{j,L}}{\sum_{L \in POIs}} p_{j,L}$
    • $Segregation = 1 - Int_j$

Findings:

  • Residents of the median US neighborhood take only 14% of the trips to basic amenities within a 15-min walking radius, 84% of US neighborhoods make less than half of their trips within a 15-min walking radius
  • Regional diecrepancy
  • 15-min usage decreases sharply with income. Residents in the bottom income decile make on average 41% of their trips within a 15-min radius, those in the top income decile make only 11% of their trips
  • Using population-weighted average aggrgated to the urban area level, 15-min access measure explains 84% of the variation in 15-min usage across urban areas
  • 1% increase in access corresponds to a 0.77% increase in 15-min usage
  • Positive factors of 15-min usage: population density, transit frequency, proximity between homes and workplaces
  • Negative: income
  • restrictions on land use contribute to extended travel distance and increased carbon emissions
  • A negative association between 15-min usage and experienced segregation for residents of upper-middle and high-income neighborhoods
  • The positive association between the percentage of 15-min trips and our segregation index for residents of less affluent neighborhoods indicates that these individuals are more likely to interact with a socio-economically diverse group during longer trips than during shorter ones

Coding Reference:

  • Code: upon request