Spatial Logistic Regression for Events Lying on a Network: Car Crashes in Milan

Diego Zappa, Andrea Gilardi, Riccardo Borgoni

Risultato della ricerca: Contributo in libroContributo a convegno

Abstract

In this paper we propose a methodology to estimate the probability that a car accident occurs in urban roads. Our approach is based on logistic regression and takes into account the particular nature of the data which conforms to a spatial point pattern on a network. Using the open data on street networks provided within the OpenStreetMap project, we estimate the probability of car accidents for every street in the municipality of Milan.
Lingua originaleEnglish
Titolo della pubblicazione ospiteSmart Statistics for smart applications
Pagine1165-1170
Numero di pagine6
Stato di pubblicazionePubblicato - 2019
EventoSmart Statistics for smart applications - MILANO -- ITA
Durata: 18 giu 201921 giu 2019

Convegno

ConvegnoSmart Statistics for smart applications
CittàMILANO -- ITA
Periodo18/6/1921/6/19

Keywords

  • car accidents
  • open data
  • urban geography

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