» Articles » PMID: 32917706

Deconstructing Laws of Accessibility and Facility Distribution in Cities

Overview
Journal Sci Adv
Specialties Biology
Science
Date 2020 Sep 12
PMID 32917706
Citations 6
Authors
Affiliations
Soon will be listed here.
Abstract

The era of the automobile has seriously degraded the quality of urban life through costly travel and visible environmental effects. A new urban planning paradigm must be at the heart of our road map for the years to come, the one where, within minutes, inhabitants can access their basic living needs by bike or by foot. In this work, we present novel insights of the interplay between the distributions of facilities and population that maximize accessibility over the existing road networks. Results in six cities reveal that travel costs could be reduced in half through redistributing facilities. In the optimal scenario, the average travel distance can be modeled as a functional form of the number of facilities and the population density. As an application of this finding, it is possible to estimate the number of facilities needed for reaching a desired average travel distance given the population distribution in a city.

Citing Articles

Using human mobility data to quantify experienced urban inequalities.

Xu F, Wang Q, Moro E, Chen L, Salazar Miranda A, Gonzalez M Nat Hum Behav. 2025; .

PMID: 39962223 DOI: 10.1038/s41562-024-02079-0.


Urban travel carbon emission mitigation approach using deep reinforcement learning.

Shen J, Zheng F, Ma Y, Deng W, Zhang Z Sci Rep. 2024; 14(1):27778.

PMID: 39537821 PMC: 11561186. DOI: 10.1038/s41598-024-79142-3.


Similarity and economy of scale in urban transportation networks and optimal transport-based infrastructures.

Leite D, De Bacco C Nat Commun. 2024; 15(1):7981.

PMID: 39266572 PMC: 11393328. DOI: 10.1038/s41467-024-52313-6.


Understanding spatial inequalities and stratification in transportation accessibility to social infrastructures in South Korea: multi-dimensional planning insights.

Lee S, Im J, Cho K Sci Rep. 2024; 14(1):18445.

PMID: 39117776 PMC: 11310190. DOI: 10.1038/s41598-024-68536-y.


Collective dynamics of capacity-constrained ride-pooling fleets.

Zech R, Molkenthin N, Timme M, Schroder M Sci Rep. 2022; 12(1):10880.

PMID: 35760885 PMC: 9237121. DOI: 10.1038/s41598-022-14960-x.


References
1.
Li R, Dong L, Zhang J, Wang X, Wang W, Di Z . Simple spatial scaling rules behind complex cities. Nat Commun. 2017; 8(1):1841. PMC: 5705765. DOI: 10.1038/s41467-017-01882-w. View

2.
Macintyre S, MacDonald L, Ellaway A . Do poorer people have poorer access to local resources and facilities? The distribution of local resources by area deprivation in Glasgow, Scotland. Soc Sci Med. 2008; 67(6):900-14. PMC: 2570170. DOI: 10.1016/j.socscimed.2008.05.029. View

3.
Schlapfer M, Bettencourt L, Grauwin S, Raschke M, Claxton R, Smoreda Z . The scaling of human interactions with city size. J R Soc Interface. 2014; 11(98):20130789. PMC: 4233681. DOI: 10.1098/rsif.2013.0789. View

4.
Bettencourt L, Lobo J, Helbing D, Kuhnert C, West G . Growth, innovation, scaling, and the pace of life in cities. Proc Natl Acad Sci U S A. 2007; 104(17):7301-6. PMC: 1852329. DOI: 10.1073/pnas.0610172104. View

5.
Brelsford C, Lobo J, Hand J, Bettencourt L . Heterogeneity and scale of sustainable development in cities. Proc Natl Acad Sci U S A. 2017; 114(34):8963-8968. PMC: 5576773. DOI: 10.1073/pnas.1606033114. View