Quantifying Demand Dynamics for Supporting Optimal Taxi Services Strategies

Elena Kourti; Christina Christodoulou; Loukas Dimitriou; Symeon Christodoulou; Constantinos Antoniou

doi:10.1016/j.trpro.2017.03.065

Quantifying Demand Dynamics for Supporting Optimal Taxi Services Strategies

Elena Kourti, Christina Christodoulou, Loukas Dimitriou, Symeon Christodoulou, Constantinos Antoniou

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

In recent years, mobility patterns have reasonably attracted scientific interest, especially concerning Mega-Cities. The technological advances, especially concerning sensors, facilitates the collection and access on a massive amount of empirical data capturing in high-resolution urban mobility. The introduction and spread of location tracking devices and services provide the means for collecting reliable real-time data, particularly valuable for industrial as well as for personal applications. In this study, a complex and realistic dataset is monitored and analysed, that provide the real-time occupancy status and Global Positioning System (GPS) location for three taxi fleets during of New Year's Day.

Original language	English
Pages (from-to)	675-684
Number of pages	10
Journal	Transportation Research Procedia
Volume	22
DOIs	https://doi.org/10.1016/j.trpro.2017.03.065
State	Published - 2017
Externally published	Yes

Keywords

Real-Time GPS Information
Taxi-services strategies
Urban Mobility
dynamic clustering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.trpro.2017.03.065

Cite this

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title = "Quantifying Demand Dynamics for Supporting Optimal Taxi Services Strategies",

abstract = "In recent years, mobility patterns have reasonably attracted scientific interest, especially concerning Mega-Cities. The technological advances, especially concerning sensors, facilitates the collection and access on a massive amount of empirical data capturing in high-resolution urban mobility. The introduction and spread of location tracking devices and services provide the means for collecting reliable real-time data, particularly valuable for industrial as well as for personal applications. In this study, a complex and realistic dataset is monitored and analysed, that provide the real-time occupancy status and Global Positioning System (GPS) location for three taxi fleets during of New Year's Day.",

keywords = "Real-Time GPS Information, Taxi-services strategies, Urban Mobility, dynamic clustering",

author = "Elena Kourti and Christina Christodoulou and Loukas Dimitriou and Symeon Christodoulou and Constantinos Antoniou",

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year = "2017",

doi = "10.1016/j.trpro.2017.03.065",

language = "English",

volume = "22",

pages = "675--684",

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T1 - Quantifying Demand Dynamics for Supporting Optimal Taxi Services Strategies

AU - Kourti, Elena

AU - Christodoulou, Christina

AU - Dimitriou, Loukas

AU - Christodoulou, Symeon

AU - Antoniou, Constantinos

PY - 2017

Y1 - 2017

N2 - In recent years, mobility patterns have reasonably attracted scientific interest, especially concerning Mega-Cities. The technological advances, especially concerning sensors, facilitates the collection and access on a massive amount of empirical data capturing in high-resolution urban mobility. The introduction and spread of location tracking devices and services provide the means for collecting reliable real-time data, particularly valuable for industrial as well as for personal applications. In this study, a complex and realistic dataset is monitored and analysed, that provide the real-time occupancy status and Global Positioning System (GPS) location for three taxi fleets during of New Year's Day.

AB - In recent years, mobility patterns have reasonably attracted scientific interest, especially concerning Mega-Cities. The technological advances, especially concerning sensors, facilitates the collection and access on a massive amount of empirical data capturing in high-resolution urban mobility. The introduction and spread of location tracking devices and services provide the means for collecting reliable real-time data, particularly valuable for industrial as well as for personal applications. In this study, a complex and realistic dataset is monitored and analysed, that provide the real-time occupancy status and Global Positioning System (GPS) location for three taxi fleets during of New Year's Day.

KW - Real-Time GPS Information

KW - Taxi-services strategies

KW - Urban Mobility

KW - dynamic clustering

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DO - 10.1016/j.trpro.2017.03.065

M3 - Article

AN - SCOPUS:85019421469

SN - 2352-1457

VL - 22

SP - 675

EP - 684

JO - Transportation Research Procedia

JF - Transportation Research Procedia

ER -

Quantifying Demand Dynamics for Supporting Optimal Taxi Services Strategies

Abstract

Keywords

UN SDGs

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