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Understanding the patterns of car travel · Study

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ArticleUnderstanding the patterns of car travel

Luca Pappalardo2013

Article2013

Understanding the patterns of car travel

Luca Pappalardo · Salvatore Rinzivillo · Zehui Qu · Dino Pedreschi · Fosca Giannotti

107 citations·0/0 files stored·The European Physical Journal Special Topics

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Human Mobility and Location-Based Analysis Data Management and Algorithms Traffic Prediction and Management Techniques

Abstract

No abstract was published for this record.

Citations in this library

Stored only when both papers are in the corpus — 107 citations exist upstream.

References

2008Understanding individual human mobility patterns 2006The scaling laws of human travel 2010Modelling the scaling properties of human mobility 2010Statistical laws in urban mobility from microscopic GPS data in the area of Florence

Cited by

2020Measuring objective and subjective well-being: dimensions and data sources 2019A Comprehensive Review of Driver Behavior Analysis Utilizing Smartphones 2022scikit-mobility : A Python Library for the Analysis, Generation, and Risk Assessment of Mobility Data 2015Small Area Model-Based Estimators Using Big Data Sources 2016Understanding taxi travel patterns 2016Human Mobility Modelling: Exploration and Preferential Return Meet the Gravity Model 2015Identifying mismatch between urban travel demand and transport network services using GPS data: A case study in the fast growing Chinese city of Harbin 2014The purpose of motion: Learning activities from Individual Mobility Networks

Details

Year2013

Typearticle

Published2013-01-01

VenueThe European Physical Journal Special Topics

ISSN-L1951-6355

Languageen

Citations107

Files0 public / 0

ShelfHuman Mobility and Location-Based Analysis

Identifiers

doi10.1140/epjst/e2013-01715-5

openalex_workW1990914926

Links

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