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Correction: Spatio-Temporal Analysis of Micro Economic Activities in Rome Reveals Patterns of Mixed-Use Urban Evolution.

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Abstract

[This corrects the article DOI: 10.1371/journal.pone.0151681.].

Entities:  

Year:  2016        PMID: 27167626      PMCID: PMC4864368          DOI: 10.1371/journal.pone.0154180

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


The images for Figs 1, 4, and 6 are erroneously truncated. The publisher apologizes for the errors. Please see the corrected Figs 1, 4, and 6 here.
Fig 1

Temporal evolution of the number of commercial activities.

Left: The cumulative number of survived activities, N(t), i.e. the number of activities present at time t in Rome, is plotted as a function of time t (expressed in calendar years). The inset shows the number n(t) of new registered activities at each year. Right: The number n(t) of new activities is reported as a function of the year t, for a selection of the commercial categories reported in Table 1, i.e. Food, Medicals, Goods and Repair.

Fig 4

Spatial distribution of activities and category diversification.

Spatial density of commercial activities (left/top panels), and distribution of the local category entropy H(t) (left/bottom panels) evaluated for the years 1984, 1994, and 2004 (1st, 2nd, and 3rd column, respectively. We have considered a grid of m × m cells, with m = 100, corresponding to cells of linear size of 350 m. The two upper/right panels show the square root of the mean square displacement from the city centre of all the activities, respectively in the registered (d(t)) and cumulative (D(t)) cases. Panels on the right/bottom show the scatter plots of density, P(t), vs entropy, H(t) for the same three years.

Fig 6

Time evolution of attraction between categories.

The three panels show the values of the attraction coefficients respectively for α = 4 (“Goods”), α = 5 (“2 hand”), and α = 7 (“Repair”), with respect to all the other categories, namely β = 1, …, 8. The radius R was set equal to 200 meters.

Temporal evolution of the number of commercial activities.

Left: The cumulative number of survived activities, N(t), i.e. the number of activities present at time t in Rome, is plotted as a function of time t (expressed in calendar years). The inset shows the number n(t) of new registered activities at each year. Right: The number n(t) of new activities is reported as a function of the year t, for a selection of the commercial categories reported in Table 1, i.e. Food, Medicals, Goods and Repair.

Spatial distribution of activities and category diversification.

Spatial density of commercial activities (left/top panels), and distribution of the local category entropy H(t) (left/bottom panels) evaluated for the years 1984, 1994, and 2004 (1st, 2nd, and 3rd column, respectively. We have considered a grid of m × m cells, with m = 100, corresponding to cells of linear size of 350 m. The two upper/right panels show the square root of the mean square displacement from the city centre of all the activities, respectively in the registered (d(t)) and cumulative (D(t)) cases. Panels on the right/bottom show the scatter plots of density, P(t), vs entropy, H(t) for the same three years.

Time evolution of attraction between categories.

The three panels show the values of the attraction coefficients respectively for α = 4 (“Goods”), α = 5 (“2 hand”), and α = 7 (“Repair”), with respect to all the other categories, namely β = 1, …, 8. The radius R was set equal to 200 meters.
  1 in total

1.  Spatio-Temporal Analysis of Micro Economic Activities in Rome Reveals Patterns of Mixed-Use Urban Evolution.

Authors:  Alessandro Fiasconaro; Emanuele Strano; Vincenzo Nicosia; Sergio Porta; Vito Latora
Journal:  PLoS One       Date:  2016-03-16       Impact factor: 3.240

  1 in total

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