RAPID/Collaborative Research: Measuring the Impact of the Re-entry of Ride Sourcing in Austin, Texas: A Natural Experiment
RAPID/协作研究:衡量德克萨斯州奥斯汀重新进入乘车采购的影响:一项自然实验
基本信息
- 批准号:1745708
- 负责人:
- 金额:$ 0.22万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-08-01 至 2018-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Approximately one year after suspending services in Austin following the defeat of Proposition 1, Uber and Lyft relaunched ridesharing services in Austin on May 29, 2017. Services resumed in response to Texas House bill 100, which created a statewide regulatory framework for transportation network companies that superseded local ordinances. In response to this development, this Grants for Rapid Response Research (RAPID) collaborative research project will analyze changes to travel behavior after a service disruption has ended. The project represents a unique natural experiment to measure the impact of these services on city infrastructure and the economy. The motivating research question is, "How does the restoration of ride-sourcing services impact travel behavior particularly with regards to number of trips, mode choice and vehicle ownership". A comparative case is provided by the collapse and subsequent reconstruction of the I-35W Bridge in Minneapolis, Minnesota, in which a 25 percent reduction in usage was seen following opening of a replacement bridge. This project will design and implement a travel survey of ride-sourcing passengers in order to quantify the impact on travel behavior as a result of Uber and Lyft restoring ridesharing services in Austin, TX. The survey will utilize a non-random, opt-in sampling methodology, to be administered over an approximate two-month period. The survey data will not be weighted or expanded, as the full universe of former ridesharing passengers is not known. Expected research results have the potential to capture adaptations by passengers and organizations in response to service restoration. The results are also expected to inform ongoing discussions on the impact of similar events on mobility in other cities. Methods for data coding as well as the data themselves will be made available to support subsequent research.
在1号提案失败后暂停奥斯汀的服务大约一年后,优步和Lyft于2017年5月29日在奥斯汀重新推出拼车服务。服务恢复是对德克萨斯州众议院法案100的回应,该法案为交通网络公司创建了一个全州范围的监管框架,取代了地方条例。作为对这一发展的回应,快速反应研究补助金(RAPID)合作研究项目将分析服务中断结束后旅行行为的变化。该项目是一项独特的自然实验,旨在衡量这些服务对城市基础设施和经济的影响。令人振奋的研究问题是,“网约车服务的恢复如何影响出行行为,特别是在出行次数、方式选择和车辆拥有量方面”。明尼苏达州明尼阿波利斯市I-35W桥的坍塌和随后的重建提供了一个比较案例,在更换桥开放后,使用量减少了25%。该项目将设计和实施一项针对拼车乘客的旅行调查,以量化优步和Lyft在德克萨斯州奥斯汀恢复拼车服务对出行行为的影响。调查将采用非随机、选择加入的抽样方法,在大约两个月的时间内进行。调查数据将不会被加权或扩展,因为以前的拼车乘客的完整情况尚不清楚。预期的研究结果有可能捕捉到乘客和组织对服务恢复的反应。预计这一结果还将为正在进行的关于类似事件对其他城市机动性影响的讨论提供参考。将提供数据编码方法以及数据本身,以支持后续研究。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Xuan Di其他文献
InfoSTGCAN: An Information-Maximizing Spatial-Temporal Graph Convolutional Attention Network for Heterogeneous Human Trajectory Prediction
InfoSTGCAN:用于异构人体轨迹预测的信息最大化时空图卷积注意力网络
- DOI:
10.3390/computers13060151 - 发表时间:
2024 - 期刊:
- 影响因子:2.8
- 作者:
Kangrui Ruan;Xuan Di - 通讯作者:
Xuan Di
Reinforcement Learning-Based Navigation Approach for a Downscaled Autonomous Vehicle in Simplified Urban Scenarios
简化城市场景中小型自动驾驶汽车基于强化学习的导航方法
- DOI:
10.1109/isem59023.2023.10334911 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Rolando Bautista;R. Galluzzi;Xuan Di;Rogelio Bustamante - 通讯作者:
Rogelio Bustamante
Social Learning In Markov Games: Empowering Autonomous Driving
马尔可夫博弈中的社交学习:赋能自动驾驶
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Xu Chen;Zechu Li;Xuan Di - 通讯作者:
Xuan Di
A Similitude Theory for Modeling Traffic Flow Dynamics
交通流动力学建模的相似理论
- DOI:
10.1109/tits.2018.2837011 - 发表时间:
2019 - 期刊:
- 影响因子:8.5
- 作者:
Xuan Di;Yan Zhao;S. Huang;Henry X. Liu - 通讯作者:
Henry X. Liu
A Single Online Agent Can Efficiently Learn Mean Field Games
单个在线代理可以有效地学习平均场博弈
- DOI:
10.48550/arxiv.2405.03718 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Chenyu Zhang;Xu Chen;Xuan Di - 通讯作者:
Xuan Di
Xuan Di的其他文献
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{{ truncateString('Xuan Di', 18)}}的其他基金
SCC-IRG Track 1: Preparing for Future Pandemics: Subway Crowd Management to Minimize Airborne Transmission of Respiratory Viruses (Way-CARE)
SCC-IRG 第 1 轨道:为未来的流行病做好准备:地铁人群管理以最大限度地减少呼吸道病毒的空气传播 (Way-CARE)
- 批准号:
2218809 - 财政年份:2023
- 资助金额:
$ 0.22万 - 项目类别:
Continuing Grant
CPS: Medium: Hybrid Twins for Urban Transportation: From Intersections to Citywide Management
CPS:中:城市交通的混合双胞胎:从十字路口到全市管理
- 批准号:
2038984 - 财政年份:2021
- 资助金额:
$ 0.22万 - 项目类别:
Standard Grant
CAREER: Multi-scale Multi-population Mean Field Game-Theoretic Framework for the Autonomous Mobility Ecosystem
职业:自主移动生态系统的多尺度多群体平均场博弈论框架
- 批准号:
1943998 - 财政年份:2020
- 资助金额:
$ 0.22万 - 项目类别:
Standard Grant
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