Normative behaviour-based first-best analysis for disaster evacuation

Kuwahara, Masao; Ohata, Takeshi; Oishi, Yukie

doi:10.1080/21680566.2017.1378600

Cited by 2 publications

(1 citation statement)

References 14 publications

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“…These principles are similar to those of Kinematic Wave (KW) model [37], [38], which is the standard dynamic traffic flow model in the literature. In fact, it can be considered as a significant modification of the DTA method with the vehicle holding technique (which is almost equivalent to KW model but slightly violates the first-in first-out principle) proposed by [39] and the DTA-based optimal evacuation problems proposed by [40] and [41]. In order to construct a proper timeexpanded network, the time discretization width should be equal to the space discretization width (which is usually equal to the link length) divided by the free-flow speed divided by an arbitrary positive integer.…”

Section: B Problemmentioning

confidence: 99%

Multi-Objective Linear Optimization Problem for Strategic Planning of Shared Autonomous Vehicle Operation and Infrastructure Design

Seo

Asakura

2022

IEEE Trans. Intell. Transport. Syst.

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This study proposes a unified optimization framework for strategic planning of shared autonomous vehicle (SAV) systems that explicitly and endogenously considers their operational aspects based on macroscopic dynamic traffic assignment. Specifically, the proposed model optimizes fleet size, road network design, and parking space allocation of an SAV system with optimized SAVs' dynamic routing with passenger pickup/delivery and ridesharing. It is formulated as a multi-objective optimization problem that simultaneously minimizes total travel time of travelers, total distance traveled by SAVs, total number of SAVs, and infrastructure construction cost; thus, both the user-side cost and the system-side cost are taken into account, and their trade-off relations can be explicitly investigated. Furthermore, the problem is formulated as a linear programming problem, making it easy to solve. By leveraging the linearity, we mathematically derive a useful property of the problem: introduction of ridesharing can weakly monotonically and simultaneously decrease the user-side cost and system-side cost. The proposed model is evaluated by applying it to actual travel records obtained from New York City taxi data.

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Section: B Problemmentioning

confidence: 99%

Multi-Objective Linear Optimization Problem for Strategic Planning of Shared Autonomous Vehicle Operation and Infrastructure Design

Seo

Asakura

2022

IEEE Trans. Intell. Transport. Syst.

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Hybrid System for Generating Data on Human Flow in a Tsunami Disaster

Kashiyama

Sekimoto

Kuwahara³

et al. 2018

JDR

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Japan has suffered significant damage from countless earthquakes throughout its history. Thus, it is important to take prompt and effective measures against major future earthquakes predicted. Among the components of damage, measures against tsunamis are a top priority, as demonstrated by the catastrophic losses caused by the Great East Japan Earthquake (GEJE). To date, many studies have been conducted on tsunamis to investigate detection, prediction of flooding, and models of evacuation behaviors. Therefore, this study sought to integrate the results of increasingly advanced research in various fields to construct a system that generates data on human flow during a tsunami disaster. We proceeded with a scenario assuming the Great Nankai Trough Earthquake and considered Kochi City as a case study to conduct a trial tsunami evacuation simulation. We validated and evaluated the evacuation behaviors as a scheme for utilizing knowledge of the ever-changing conditions of evacuation and conducted a visualization and analysis of the simulation results.

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Normative behaviour-based first-best analysis for disaster evacuation

Cited by 2 publications

References 14 publications

Multi-Objective Linear Optimization Problem for Strategic Planning of Shared Autonomous Vehicle Operation and Infrastructure Design

Multi-Objective Linear Optimization Problem for Strategic Planning of Shared Autonomous Vehicle Operation and Infrastructure Design

Hybrid System for Generating Data on Human Flow in a Tsunami Disaster

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