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Urban Transportation System Resilience and Diversity Coupling using Large-scale Taxicab GPS Data

Authors:

Farnaz Khaghani,

Armin Rahimi-Golkhandan,

Farrokh Jazizadeh,

Michael J. GarvinAuthors Info & Claims

BuildSys '19: Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation

Pages 165 - 168

https://doi.org/10.1145/3360322.3360864

Published: 13 November 2019 Publication History

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Abstract

In this study, moving towards enabling the development of a platform for dynamic performance assessment of roadway networks, we have proposed to leverage coarse GPS data from probe vehicles such as taxis to quantify the resilience of road network using a multi-dimensional approach. The method is applied to a dataset of taxi trips in the Washington metropolitan area to analyze the roadways resilience to recurrent traffic jams during rush hours. Further, the influence of the diversity of transportation system, that quantifies the availability and distribution of transportation modes in an urban community, on the resilience of roadways to congestions is explored. The results indicate that the resilience of trips in all zones is highly correlated with the transportation diversity of those zones. Specifically, the pick-up and drop-off hubs of taxi trips in the District of Columbia are mainly located in areas with low transportation diversity that highlights the impact of transportation diversity on addressing mobility demand. The proposed approach could potentially be used as a benchmark for transportation planning and optimization as well as traffic monitoring and alleviation to allocate resources and adjust the schedule of transit modes in real-time.

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He SZhou YYang YLiu TZhou YLi JWu TGuan X(2024)Cascading Failure in Cyber–Physical Systems: A Review on Failure Modeling and Vulnerability AnalysisIEEE Transactions on Cybernetics10.1109/TCYB.2024.341186854:12(7936-7954)Online publication date: Dec-2024
https://doi.org/10.1109/TCYB.2024.3411868
Rahimi-Golkhandan AGarvin MWang Q(2021)Assessing the Impact of Transportation Diversity on Postdisaster Intraurban MobilityJournal of Management in Engineering10.1061/(ASCE)ME.1943-5479.000087237:1Online publication date: Jan-2021
https://doi.org/10.1061/(ASCE)ME.1943-5479.0000872
Pan SYan HHe JHe Z(2021)Vulnerability and resilience of transportation systems: A recent literature reviewPhysica A: Statistical Mechanics and its Applications10.1016/j.physa.2021.126235581(126235)Online publication date: Nov-2021
https://doi.org/10.1016/j.physa.2021.126235
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Index Terms

Urban Transportation System Resilience and Diversity Coupling using Large-scale Taxicab GPS Data
1. Applied computing
  1. Operations research
    1. Transportation
2. Information systems
  1. Information systems applications
    1. Data mining
    2. Spatial-temporal systems

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BuildSys '19: Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation

November 2019

413 pages

ISBN:9781450370059

DOI:10.1145/3360322

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 13 November 2019

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SIGEnergy

BuildSys '19: The 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation

November 13 - 14, 2019

NY, New York, USA

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BuildSys '19 Paper Acceptance Rate 40 of 131 submissions, 31%;

Overall Acceptance Rate 148 of 500 submissions, 30%

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He SZhou YYang YLiu TZhou YLi JWu TGuan X(2024)Cascading Failure in Cyber–Physical Systems: A Review on Failure Modeling and Vulnerability AnalysisIEEE Transactions on Cybernetics10.1109/TCYB.2024.341186854:12(7936-7954)Online publication date: Dec-2024
https://doi.org/10.1109/TCYB.2024.3411868
Rahimi-Golkhandan AGarvin MWang Q(2021)Assessing the Impact of Transportation Diversity on Postdisaster Intraurban MobilityJournal of Management in Engineering10.1061/(ASCE)ME.1943-5479.000087237:1Online publication date: Jan-2021
https://doi.org/10.1061/(ASCE)ME.1943-5479.0000872
Pan SYan HHe JHe Z(2021)Vulnerability and resilience of transportation systems: A recent literature reviewPhysica A: Statistical Mechanics and its Applications10.1016/j.physa.2021.126235581(126235)Online publication date: Nov-2021
https://doi.org/10.1016/j.physa.2021.126235
Ni XOsaragi THuang HLi RChen A(2021)Resilience-Oriented Performance Assessment Method for Road-Traffic System: A Case Study in Beijing, ChinaKSCE Journal of Civil Engineering10.1007/s12205-021-2098-y25:10(3977-3994)Online publication date: Oct-2021
https://doi.org/10.1007/s12205-021-2098-y
Khaghani FJazizadeh F(2020)mD-Resilience: A Multi-Dimensional Approach for Resilience-Based Performance Assessment in Urban TransportationSustainability10.3390/su1212487912:12(4879)Online publication date: 15-Jun-2020
https://doi.org/10.3390/su12124879
Rahimi-Golkhandan AGarvin M(2020)A Socio-Economic Comparison of Urban Areas with Different Transportation System DiversityConstruction Research Congress 202010.1061/9780784482858.083(771-780)Online publication date: 9-Nov-2020
https://doi.org/10.1061/9780784482858.083
Chen FYang S(2019)A Balance Interface Design and Instant Image-based Traffic Assistant Agent Based on GPS and Linked Open Data TechnologySymmetry10.3390/sym1201000112:1(1)Online publication date: 18-Dec-2019
https://doi.org/10.3390/sym12010001

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Resilience in urban transportation: towards a participatory sensing-based framework

Online Cruising Mile Reduction in Large-Scale Taxicab Networks

PrivateHunt: Multi-Source Data-Driven Dispatching in For-Hire Vehicle Systems

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