scholarly journals Impacts of transportation network companies on urban mobility

Author(s):  
Mi Diao ◽  
Hui Kong ◽  
Jinhua Zhao
2017 ◽  
Vol 2649 (1) ◽  
pp. 106-112 ◽  
Author(s):  
Marla Westervelt ◽  
Joshua Schank ◽  
Emma Huang

The rise and the proliferation of the on-demand economy are creating a new mobility marketplace. This research explored how these new options could be synergistic with public transit models and detailed the experiences of two transit operators that entered into service delivery partnerships with a transportation network company and a micro-transit operator. Based on a series of interviews and the experiences of these two public agencies, this research provides a set of key takeaways and recommendations for transit operators exploring the potential of partnering with new mobility services such as transportation network companies (e.g., Uber or Lyft) and microtransit (e.g., Bridj or Via).


2017 ◽  
Vol 2650 (1) ◽  
pp. 163-171 ◽  
Author(s):  
Maarit Moran ◽  
Philip Lasley

The rapid expansion of transportation network companies (TNCs), such as Uber and Lyft, has led policy makers across the country to consider legislation to legalize and regulate TNC operations. In 2012, TNCs introduced a new travel option that used digital technology to provide an on-demand and highly automated private ride service, which has received support from consumers and investors. The emergence of TNCs has generated uncertainty about the legal status of TNC services, criticism from the taxicab industry, and concerns about public safety. In almost every U.S. state, policy makers have considered TNC legislation to address these issues, but there is no comprehensive source of information on the content of these policies. In this study, researchers systematically compiled a database of state TNC legislation and evaluated a set of policy issues addressed in the legislation. Thirty-four states and Washington, D.C., enacted legislation to authorize TNC operations through May 2016. These laws addressed policy areas including permits and fees, insurance and financial responsibility, driver and vehicle requirements, operational requirements, passenger protections, data reporting, and regulatory and rulemaking authority. This database can help policy makers navigate the evolving policy considerations presented by the rising popularity—and accompanying controversy—of TNCs. Key policy questions that emerged from this review of state TNC legislation include whether to regulate TNCs; if so, at what level of government; how to harmonize TNC policies with existing taxi and transportation policies; and how to address public safety without suppressing market competition.


2020 ◽  
Vol 55 ◽  
pp. 102053 ◽  
Author(s):  
Xinwu Qian ◽  
Tian Lei ◽  
Jiawei Xue ◽  
Zengxiang Lei ◽  
Satish V. Ukkusuri

Author(s):  
Mengjie Han ◽  
Matthew D. Dean ◽  
Pedro Adorno Maldonado ◽  
Parfait Masungi ◽  
Sivaramakrishnan Srinivasan ◽  
...  

Emergent technologies like autonomous/connected vehicles and shared mobility platforms are anticipated to significantly affect various aspects of the transportation network such as safety, mobility, accessibility, environmental effects, and economics. Transit agencies play a critical role in this network by providing mobility to populations unable to drive or afford personal vehicles, and in some localities carry passengers more efficiently than other modes. As transit agencies plan for the future, uncertainty remains with how to best leverage new technologies. A survey completed by 50 transit agencies across the United States revealed similar yet different perceptions and preparations regarding transportation network companies (TNCs) and autonomous transit (AT) systems. Transit agencies believe TNC market share will grow, either minimally or rapidly (72%), within the next 5 years and have either a negative (43%) or positive (35%) impact on their transit system. Only 30% of agency boards instructed the agency to work with TNCs, despite no perceived transit union support. For AT systems, 22% of agencies are studying them, 64% believe the impacts of AT over the next 10–20 years will be positive, but fewer agencies are influenced to consider new technologies because of AT systems (38%) compared with TNCs (72%). Surprisingly, transit administration is mostly unsure about driver and transit unions’ perceptions of these technologies. In addition, a significant number of transit agencies do not believe they should play a role in ensuring TNCs are safe and equitable and that TNCs should not have to adhere to the same regulations (50%, 28% respectively).


2020 ◽  
Vol 12 (5) ◽  
pp. 1732 ◽  
Author(s):  
Daniel Oviedo ◽  
Isabel Granada ◽  
Daniel Perez-Jaramillo

This paper proposes a modal-shift analysis methodology based on a mix of small-scale primary data and big data sources to estimate the total amount of trips that are reallocated to transportation network companies (TNCs) services in Bogotá, Colombia. The analysis is focused on the following four modes: public transportation, private vehicles, conventional taxis, and TNC services. Based on a stated preferences survey and secondary databases of travel times and costs, the paper proposes a methodology to estimate the reallocation of travel demand once TNCs start operating. Results suggests that approximately one third of public transportation trips are potentially transferred to TNCs. Moreover, potential taxi and private vehicle–transferred trips account for almost 30% of the new TNC demand. Additionally, approximately half of the trips that are reallocated from public transport demand can be considered as complementary, while the remaining share can be considered as potential replacing trips of public transportation. The paper also estimates the potential increase in Vehicle-km travelled in each of the modes before and after substitution as a proxy to the effects of demand reallocation on sustainability, finding increases between 1.3 and 14.5 times the number of Vehicle-km depending on the mode. The paper highlights the role of open data and critical perspectives on available information to analyze potential scenarios of the introduction of disruptive technologies and their spatial, social, and economic implications.


Author(s):  
Karina Hermawan ◽  
Amelia C. Regan

How does the growth of transportation network companies (TNCs) at airports affect the use of shared modes and congestion? Using data from the 2015 passenger survey from Los Angeles International Airport (LAX), San Francisco International Airport (SFO), and Oakland International Airport (OAK), this research analyzes TNCs’ relationship with shared modes (modes that typically have higher vehicle-occupancy and include public transit such as buses and light rail, shared vans or shuttles) and the demand for their shared vs. standard service at the airport. Because TNCs both replace shared rides and make them possible, the research also measured the net effects at these airports. The results suggest that in 2015, TNCs caused 215,000 and 25,000 passengers to switch from shared to private modes at SFO and OAK, respectively. By 2020, the increase is expected to be about 840,000 and 107,000 passengers per year, respectively.


Sign in / Sign up

Export Citation Format

Share Document