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A city of cities: Measuring how 15-minutes urban accessibility shapes human mobility in Barcelona
Eduardo Graells-Garrido, Feliu Serra-Burriel, Francisco Rowe, Fernando M. Cucchietti, Patricio Reyes
TL;DR
The paper addresses limited evidence on how local amenities relate to human mobility across neighborhoods. Using mobile phone, census, and volunteered geographical data with Negative Binomial Geographically Weighted Regression in Barcelona, it finds broad and geographically variable relationships, including links involving education, retail, and food outlets, while pointing to future methods and datasets.
Problem
Evidence is limited on how local urban amenities relate to mobility and how that relationship varies geographically.
Method
The study combines mobile phone, census, and volunteered geographical data with Negative Binomial Geographically Weighted Regression to analyze Barcelona origin-destination flows and local accessibility.
Results
The results show wide geographic variability: local amenity relationships change in sign and magnitude, with distinctive amenities shaping local mobility patterns and food outlets consistently linked to reduced mobility.
Takeaways & Limitations
The findings support measuring 15-minutes-city qualities at scale to inform spatially targeted urban policy and analyze polycentric city structure.
Takeaways & Limitations
The authors indicate that new methods and datasets, including temporally aware extensions of GWR, are expected to advance the analysis.
Abstract
from arXiv · showhide
As cities expand, human mobility has become a central focus of urban planning and policy making to make cities more inclusive and sustainable. Initiatives such as the "15-minutes city" have been put in place to shift the attention from monocentric city configurations to polycentric structures, increasing the availability and diversity of local urban amenities. Ultimately they expect to increase local walkability and increase mobility within residential areas. While we know how urban amenities influence human mobility at the city level, little is known about spatial variations in this relationship. Here, we use mobile phone, census, and volunteered geographical data to measure geographic variations in the relationship between origin-destination flows and local urban accessibility in Barcelona. Using a Negative Binomial Geographically Weighted Regression model, we show that, globally, people tend to visit neighborhoods with better access to education and retail. Locally, these and other features change in sign and magnitude through the different neighborhoods of the city in ways that are not explained by administrative boundaries, and that provide deeper insights regarding urban characteristics such as rental prices. In conclusion, our work suggests that the qualities of a 15-minutes city can be measured at scale, delivering actionable insights on the polycentric structure of cities, and how people use and access this structure.
2 Department of Statistics and Operations Research, Universitat Polit`ecnica de
The listed affiliation identifies a Department of Statistics and Operations Research at Universitat Polit`ecnica de Catalunya in Barcelona, Catalonia, Spain, with an additional Liverpool affiliation.
- The affiliation names the Department of Statistics and Operations Research at Universitat Polit`ecnica de Catalunya.
- The listed location is Barcelona, Catalonia, Spain.
- A third affiliation is associated with the University of Liverpool in Liverpool, United Kingdom.
Introduction
The introduction frames local accessibility as a response to urban expansion and sprawl, then identifies limited evidence on how amenities shape mobility across places and presents a Barcelona-based approach to measure that variation.
- Urban expansion and sprawl are linked to longer travel, car use, congestion, health risks, pollution, and unequal commuting patterns.
- Planning strategies promote polycentric, 15-minutes-city configurations by increasing diverse local amenities within walkable residential areas.
- Prior work connects urban form and concentrated jobs, services, and commerce with mobility, but less is known about local amenity availability and geographic variation in these relationships.
- The study models origin-destination flows, quantifies spatial variability, and examines associations with local population characteristics in Barcelona.
- Mobile phone data offer high temporal frequency and geographic granularity, complementing census and OpenStreetMap data for contemporary mobility analysis despite privacy and coverage concerns.
- The analysis combines Negative Binomial regression with Negative Binomial Geographically Weighted Regression to identify global relationships and neighborhood-level variation.
- The resulting neighborhood vectors can differ from global city patterns and support further analysis of accessibility, mobility, and rental prices.
Materials and methods
The study combines census, mobile-phone, and volunteered geographic data to measure neighborhood accessibility and resident mobility in Barcelona. It models origin–destination flows and local accessibility to identify spatially varying mobility patterns and examine their relationship with rental prices.
- Data sources and study setting: The analysis combines neighborhood census data, geographically aggregated mobile-phone records, and volunteered geographic data to characterize resident mobility.Census measures include HDI, age, population, gender and immigration shares, rental prices, and touristic attractiveness.
- Data sources and study setting: Barcelona is divided into 73 neighborhoods, while visitor counts are initially recorded in 212 regular 500 m2 grid cells.Grid-cell counts are assigned to neighborhoods using area-based intersection weights, forming a neighborhood origin–destination network.
- Mobility data and preprocessing: Resident mobility is modeled as average daily origin-to-destination counts during June, selected as a neutral month with the best goodness-of-fit among non-special months.Residents are separated from commuters and tourist groups, and origins are mapped to their neighborhoods.
- Mobility data and preprocessing: 61% of origin–destination pairs were initially null because counts below 50 people were reported as zero, and filtering reduced the retained zeroes to 53% on average.Pairs with zeroes in both business-day and weekend observations were removed, while informative zeroes were retained.
- Accessibility measurement: Accessibility is spatially concentrated in central neighborhoods, whereas amenity diversity follows an opposite pattern across the city.The concentration of amenities may indicate a monocentric structure, while broader diversity suggests access to multiple venue and service types throughout the administrative area.
- Modeling strategy: The study uses local modeling to test whether coefficient variation supports the presence of multiple urban sub-systems with distinct mobility patterns.The model combines mobility, socio-demographic, and accessibility attributes and is also used to explore mobility–rental-price relationships.
Results
The global model identifies broad mobility associations, while the local GWR model reveals substantial geographic variation across Barcelona. These local patterns connect neighborhood accessibility and population characteristics with mobility and rental prices, supporting a polycentric interpretation of the city.
- Global model: β = −2.11 for log(distance) and β = 1.56 for visiting another neighborhood were the two most important global mobility factors.Longer distances were associated with smaller flows, whereas flows tended to cross neighborhood boundaries.
- Global model: Globally, people tended to visit neighborhoods with greater access to education and retail than their own.Accessibility differences in education, retail, and finance were positively associated with flows, whereas professional and health accessibility were associated with less travel.
- Local model: The local model had a considerably lower AICc and revealed geographically variable relationships between mobility flows and local factors.Most local coefficients ranged from negative to positive; only five variables were consistently signed across neighborhoods.
- Local model: Distance deterred mobility most strongly in western and central-western neighborhoods, but less strongly in coastal northern and southern neighborhoods.The magnitude of the distance relationship therefore varied across Barcelona even where its direction remained consistent.
- Local model: Education and retail accessibility had contrasting local associations, promoting mobility in some neighborhoods while reducing it in others.Education effects were prominent in southern and north-western areas, whereas retail effects were positive in central and eastern coastal areas but negative in western and northern areas.
- Amenity patterns: Retail, education, and food amenities shaped mobility across many neighborhoods, with retail differences standing out as the most consistent factor linked to increased mobility.Food accessibility differences were associated with reduced mobility in the center, while entertainment and religion differences increased mobility from specific north-western areas.
- Rental prices: Ten local mobility factors correlated significantly with rental prices, split evenly between five positive and five negative correlations.Positive associations included ∆% women (ρ = 0.51), ∆food (ρ = 0.48), log(origin population) (ρ = 0.47), destination touristic attractiveness (ρ = 0.46), and ∆retail (ρ = 0.44).
- Interpretation: The results characterize Barcelona as a polycentric city whose diverse functional areas and local “small-cities” shape mobility differently.The authors suggest that local mobility representations could provide actionable insights for urban planners and policymakers, although the exact shape of the multiple cities remains undefined.
Discussion and Conclusions
In Barcelona, local urban amenities show wide geographic variation in their relationship with human mobility, challenging city-level interpretations. These findings support spatially targeted interventions toward 15-minute or polycentric urban planning.
- Local mobility patterns: Local mobility patterns in most Barcelona neighborhoods are explained by differences in accessibility to one or two types of urban amenities.Food accessibility is the most consistent factor linked to reduced mobility levels.
- Global versus local relationships: Global associations do not necessarily explain local mobility: education and retail accessibility are positively associated with mobility globally, but their local effects vary widely.Education strongly promotes mobility in some central and northern neighborhoods but is negligible elsewhere; retail is prominent in coastal central neighborhoods but relatively unimportant in other areas.
- Local mobility patterns: Accessibility to professional, health, and public transport amenities is negatively associated with mobility in specific neighborhoods.Greater accessibility to these amenities tends to deter mobility toward neighborhoods with significantly lower accessibility for these services, and vice versa.
- Policy implications: The study identifies neighborhood- and amenity-specific patterns that can inform spatially targeted policy interventions to reduce local mobility and advance 15-minute or polycentric cities.The findings identify amenities associated with high or low mobility levels, or resident population retention rates, in particular neighborhoods.
- Urban characteristics: Comparing local mobility patterns with rental prices suggests that better access to tourist attractions can push rental prices upward, although tourist presence may push prices down.Closeness to tourist attractions remains valuable even where the presence of tourists is associated with lower prices.
- Limitations and future work: The analysis is limited by mobile-phone operator market share, which may bias representation toward particular socioeconomic and demographic groups and cannot be corrected using aggregated anonymized data.The authors also identify the need to include visitors, additional variables, temporal metrics, and multi-city analyses in future work.
- Limitations and future work: Fine-grained quantitative methods and datasets are needed to distinguish case-specific findings from systematic city subdivisions relevant to inclusive and sustainable urban planning.The authors propose incorporating factors such as employment density, fine-grained population data, transport-mode distributions, and time into future analyses.