2020
DOI: 10.3390/e22030368
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Entropy as a Measure of Attractiveness and Socioeconomic Complexity in Rio de Janeiro Metropolitan Area

Abstract: Defining and measuring spatial inequalities across the urban environment remains a complex and elusive task that has been facilitated by the increasing availability of large geolocated databases. In this study, we rely on a mobile phone dataset and an entropy-based metric to measure the attractiveness of a location in the Rio de Janeiro Metropolitan Area (Brazil) as the diversity of visitors' location of residence. The results show that the attractiveness of a given location measured by entropy is an important… Show more

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Cited by 19 publications
(19 citation statements)
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“…Specifically, we compute a modified version of the mobility diversity indicator proposed by Pappalardo et al in [ 28 ], and use it similarly to what is done in the work of Lenormand et al [ 27 ]. More precisely, Pappalardo et al [ 28 ] compute the mobility diversity based on each individual’s mobility, whereas Lenormand et al [ 27 ] consider the attractiveness of a location taking into account where people live and visit. Contrarily to what done by Lenormand et al [ 27 ], we are not interested in the zone where people live, but in capturing the trip-chaining characteristics of overall travels.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Specifically, we compute a modified version of the mobility diversity indicator proposed by Pappalardo et al in [ 28 ], and use it similarly to what is done in the work of Lenormand et al [ 27 ]. More precisely, Pappalardo et al [ 28 ] compute the mobility diversity based on each individual’s mobility, whereas Lenormand et al [ 27 ] consider the attractiveness of a location taking into account where people live and visit. Contrarily to what done by Lenormand et al [ 27 ], we are not interested in the zone where people live, but in capturing the trip-chaining characteristics of overall travels.…”
Section: Methodsmentioning
confidence: 99%
“…With this objective in mind, we analyse urban mobility through the lenses of mobility diversity [ 27 29 ]. In our formulation, the mobility diversity is measured as the Shannon entropy of the empirical probability distribution of travels made towards the set of zones or sub-areas (e.g.…”
Section: Introductionmentioning
confidence: 99%
“…One of the more readily used indicators of concentration is the entropy coefficient, widely used as early as the 1970s (Hart, 1971) to study market concentration. However, in the literature we find numerous applications of concentration analysis in other research areas (Paulson and Garrison 1973;Harmanciouglu, Singh, and Alpaslan 2012;Lenormand et al, 2020). As a concept derived from information theory, entropy is a synthetic, relative measure of the degree of disorder in a given set understood as the dispersion of the probability distribution of the values of a random variable.…”
Section: Quantitative Survey Methodologymentioning
confidence: 99%
“…This is achieved by looking at the relative abundance and volume of flows embodied in the weights of the links. Although the study of flows by means of entropy has not been widely adopted, certain studies have validated its use for addressing key urban matters such as the analysis of patterns of spatial dispersion to inform choice models for urban transportation 31 ; the use of in- and out-commuting entropy on different cities to explain variations in economic growth 32 ; the use of entropy of individual users trajectories to study the correspondence of mobility diversity to social behaviour and socio-economic indicators 33 , 34 , as a measure of spatial inequality and attractiveness 35 , or the use of entropy of individual vehicular mobility to characterise spatio-temporal patterns of activities along the day 36 .…”
Section: Introductionmentioning
confidence: 99%