在替代空间需求模式下,共享乘车的可共享性潜力
Jaime Soza-Parra1, Rafał Kucharski2, Oded Cats1
1Transportation & Planning Department, Delft University of Technology, Delft, The Netherlands.
概括
乘车共享服务在集中目的地和长途旅行时最有效,可能减少18-59%的车辆时间. 转向多中心的旅行模式对乘车共享效率的影响最小.
科学领域:
- 运输科学 运输科学
- 城市规划 城市规划
- 运营研究 运营研究
背景情况:
- 乘车共享服务通过优化共享乘车提供潜在的环境和经济效益.
- 了解空间旅行需求模式对乘车共享有效性的影响,对于服务优化至关重要.
- 现有的研究往往简化了需求模式,限制了对现实世界复杂性的洞察力.
研究的目的:
- 调查旅行需求的不同空间模式如何影响乘车共享服务的效率.
- 在各种需求场景中量化乘车共享的可共享潜力.
- 确定关键的需求特征,以最大限度地提高乘车共享的好处.
主要方法:
- 合成旅行需求模式的生成,具有不同数量的吸引中心,目的地分散和旅行长度分布.
- 应用一个战略的乘车共享算法来评估可共享的潜力.
- 利用共享乘车的具体指标来评估服务的有效性.
主要成果:
- 由于乘坐共享,车辆小时减少在固定需求水平下可以从18%到59%不等.
- 乘坐共享效率随着旅行长度的增加和中心周围目的地度的增加而增加.
- 从单心需求模式向多心需求模式的转变对乘车共享的前景产生了有限的影响.
结论:
- 空间需求模式,特别是目的地度和行程长度,显著影响乘车共享的效率.
- 乘坐共享服务可以通过与特定需求特征保持一致来实现实质性的运营改进.
- 未来的研究应该考虑动态需求和网络效应对乘车共享业绩的相互作用.
相关概念视频
Social Traps
22.3K
Social traps are negative situations where people get caught in a direction or relationship that later proves to be unpleasant, with no easy way to back out of or avoid. The concept was orignally introduced by John Platt who applied psychology to Garrett Hardin's "Tragedy of the Commons", where in New England herd owners could let their cattle graze in the common ground. This situation seems like a good idea, but an individual could have an advantage. If they owned...
22.3K
Probability Histograms
11.5K
A probability histogram is a visual representation of a probability distribution. Similar a typical histogram, the probability histogram consists of contiguous (adjoining) boxes. It has both a horizontal axis and a vertical axis. The horizontal axis is labeled with what the data represents. The vertical axis is labeled with probability. Each rectangular bar in the histogram is 1 unit wide, which suggests that the area under each bar equals the probability, P(x), where x is 1, 2, 3, and so on.
11.5K
Social Loafing
34.8K
Another way in which a group presence can affect performance is social loafing—the exertion of less effort by a person working together with a group. Social loafing occurs when our individual performance cannot be evaluated separately from the group. Thus, group performance declines on easy tasks (Karau & Williams, 1993). Essentially individual group members loaf and let other group members pick up the slack. Because each individual’s efforts cannot be evaluated,...
34.8K
Poisson Probability Distribution
8.1K
A Poisson probability distribution is a discrete probability distribution. It gives the probability of a number of events occurring in a fixed interval of time or space if these events happen at a known average rate and independently of the time since the last event. For example, a book editor might be interested in the number of words spelled incorrectly in a particular book. It might be that, on average, there are five words spelled incorrectly in 100 pages. The interval is 100 pages.
The...
The...
8.1K
Distributed Loads: Problem Solving
645
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...
645
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
46
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...
46


