Modeling commuting systems through a complex network analysis: A study of the Italian islands of Sardinia and Sicily

Montis, Andrea De; Chessa, Alessandro; Campagna, Michele; Caschili, Simone; Deplano, Giancarlo

doi:10.5198/jtlu.v2i3.14

Cited by 31 publications

(21 citation statements)

References 40 publications

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“…A további elemzések elvégzéséhez új módszertani megközelítést kerestünk a nemzetközi szakirodalomban. Az ingázási adatok elemzésére a térbeli interakciós modellek mellett (Patuelli et al 2007, LeSage-Fischer 2010 a komplex hálózatelemzés módszerét (Russo et al 2007, De Montis et al 2010 alkalmazzák. Tanulmányunk célja az ingázási kapcsolatok új típusú elemzése a komplex hálózatelemzés módszertanával, bemutatva annak alkalmazási módjait, korlátait, valamint további felhasználási lehetőségeit.…”

Section: Pálóczi Gáborunclassified

The research possibilities of commuting to work by the methods of complex network analysis

Pálóczi¹

2016

Ter. Stat.

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Section: Pálóczi Gáborunclassified

The research possibilities of commuting to work by the methods of complex network analysis

Pálóczi¹

2016

Ter. Stat.

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“…The study of such spatial networks is consequently the subject of an intensive scientific activity [1]. Some examples include the estimation of population flows [2][3][4][5][6][7][8][9], transport planning and modeling [10,11], spatial network analysis [12,13], study of urban traffic [12] and modeling of the spreading of infectious diseases [14][15][16].…”

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confidence: 99%

Systematic comparison of trip distribution laws and models

Lenormand

Bassolas

Ramasco

2016

Journal of Transport Geography

157

149

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Trip distribution laws are basic for the travel demand characterization needed in transport and urban planning. Several approaches have been considered in the last years. One of them is the so-called gravity law, in which the number of trips is assumed to be related to the population at origin and destination and to decrease with the distance. The mathematical expression of this law resembles Newton's law of gravity, which explains its name. Another popular approach is inspired by the theory of intervening opportunities which argues that the distance has no effect on the destination choice, playing only the role of a surrogate for the number of intervening opportunities between them. In this paper, we perform a thorough comparison between these two approaches in their ability at estimating commuting flows by testing them against empirical trip data at different scales and coming from different countries. Different versions of the gravity and the intervening opportunities laws, including the recently proposed radiation law, are used to estimate the probability that an individual has to commute from one unit to another, called trip distribution law. Based on these probability distribution laws, the commuting networks are simulated with different trip distribution models. We show that the gravity law performs better than the intervening opportunities laws to estimate the commuting flows, to preserve the structure of the network and to fit the commuting distance distribution although it fails at predicting commuting flows at large distances. Finally, we show that the different approaches can be used in the absence of detailed data for calibration since their only parameter depends only on the scale of the geographic unit.Comment: 15 pages, 10 figure

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“…Binary Viewsheds: where each cell is encoded as being either visible to the point of interest or invisible. This remains the most commonly used method typified for example by De Montis et al (2010) who used viewsheds to determine intervisibility between ancient settlement towers in Sicily. 2.…”

Section: Determining Intervisibility and Viewshedsmentioning

confidence: 99%

The Influence of Digital Surface Model Choice on Visibility‐based Mobile Geospatial Applications

Meek

Goulding

Priestnall

2013

Transactions in GIS

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In this work we investigate the effectiveness of different types of visibility models for use within location‐based services. This article outlines the methodology and results for our experiments, which were designed to understand the accuracy and effects of model choices for mobile visibility querying. Harnessing a novel mobile media consumption and authoring application called Zapp, the levels of accuracy of various digital surface representations used by a line of sight visibility algorithm are extensively examined by statistically assessing randomly sampled viewing sites across the 1 km2 study area, in relation to points of interest (POI) across the University of Nottingham campus. Testing was carried out on three different surface models derived from 0.5 m LiDAR data by visiting physical sites on each surface model with 14 random point of interest masks being viewed from between 10 and 16 different locations, totalling 190 data points. Each site was ground‐truthed by determining whether a given POI could be seen by the user and could also be identified by the mobile device. Our experiments in a semi‐urban area show that choice of surface model has important implications for mobile applications that utilize visibility in geospatial query operations.

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Modeling commuting systems through a complex network analysis: A study of the Italian islands of Sardinia and Sicily

Cited by 31 publications

References 40 publications

The research possibilities of commuting to work by the methods of complex network analysis

The research possibilities of commuting to work by the methods of complex network analysis

Systematic comparison of trip distribution laws and models

The Influence of Digital Surface Model Choice on Visibility‐based Mobile Geospatial Applications

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