関連する実験動画
Updated: Sep 9, 2025

16:14
Trajectory Data Analyses for Pedestrian Space-time Activity Study
Published on: February 25, 2013
13.7K
エントロピーとアクセシビリティの強度メトリクスを用いた限られた大学のキャンパスネットワークにおける歩行者のフロースの分析
Adamo Cerioli1, Barbara Caselli2, Lea Jeanne Marinelli2
1Department of Mathematics, Physics and Computer Science, University of Parma, Parco Area delle Scienze, 7/A, 43124, Parma, Italy.
Scientific reports
|September 1, 2025
まとめ
この研究では 歩行者の動きを分析し Wi-Fi データを使って 歩行可能な状態を評価しました 混雑した地域とネットワークの回復力を特定し,都市計画とメンテナンスを支援します.
科学分野:
- 都市計画
- ネットワーク科学
- 輸送工学
背景:
- 歩行者のアクセシビリティは 都市における社会的交流,健康,汚染の削減に不可欠です
- 街路と施設の密集した大学キャンパスは,都市群を研究するのに理想的です.
- 歩行者の流れを分析することは 都市環境の理解と改善の鍵です
研究 の 目的:
- Wi-Fiデータを用いて キャンパス内の歩行者の動きと ネットワークの強さを分析する
- キャンパスネットワーク内の混雑レベルを推定し,歩行者の流れパターンを特定します.
- ネットワークの障害が歩行者交通の再分配に与える影響を評価する.
主な方法:
- キャンパスの歩行者の動きを 追跡するためにWiFiデータを 利用した
- キャンパスを幾何学的なネットワークとしてモデル化し 弧の混雑と経路のエントロピーを分析しました
- ネットワークの頑丈さをテストするためにWiFiデータから量化された情報獲得とシミュレートされたアーク除去.
主要な成果:
- キャンパスのアーチで 歩行者の混雑を特定した
- ネットワークのエントロピーと強度が定量化され,流れパターンと回復力を明らかにします.
- ネットワークアーキを撤去した後に歩行者交通がどのように再分配されるかを示した.
結論:
- キャンパスの歩行可能性とネットワークの動態に関する貴重な洞察を提供します.
- 都市ネットワークの整備に必要な地域を特定し,改善に役立てることができます.
- 歩行者のアクセシビリティと都市インフラを改善するためのデータベースのアプローチを 支持しています
関連する概念動画
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
100
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
100
Manipulation and Analysis
59
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
59
Maximum Power Flow and Line Loadability
178
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
178
Short-distance Transport of Resources
16.5K
Short-distance transport refers to transport that occurs over a distance of just 2-3 cells, crossing the plasma membrane in the process. Small uncharged molecules, such as oxygen, carbon dioxide, and water, can diffuse across the plasma membrane on their own. In contrast, ions and larger molecules require the assistance of transport proteins due to their charge or size. Transport across membranes also occurs within individual cells, playing a variety of essential roles for the plant as a whole.
16.5K
Entropy Change in Reversible Processes
2.7K
In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
2.7K
Distributed Loads: Problem Solving
729
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
729

