Quantifying the Impact of Transportation Network Companies (TNCs) on Traffic Congestion in San Francisco

Roy, Sneha

doi:10.13023/etd.2019.186

Cited by 2 publications

(2 citation statements)

References 11 publications

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“…This is caused by a modal shift away from public transport and additionally induced demand (3,6). The resulting reduction in average speeds within the network is caused not only by more kilometers being traveled but also by an increased number of short-term disruptions caused by PUDO stops (4,5).…”

Section: Introductionmentioning

confidence: 99%

“…Such short-term disruptions of traffic flow cause problems, especially in saturated urban street networks, as double-parking is known to decrease capacity, leading to increased travel times and negative external effects (1)(2)(3). A significant number of these disturbances amplify the already existing negative impact of today's MoD services on urban traffic flow (4,5). Even if the total number of vehicles on the road may be reduced at some point in the future by more optimized and pooled MoD services, cities may decide to reallocate urban space to other uses than excessive road infrastructure.…”

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confidence: 99%

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Minimizing the Effects of Urban Mobility-on-Demand Pick-Up and Drop-Off Stops: A Microscopic Simulation Approach

Stueger

Fehn

Bogenberger

2022

Transportation Research Record: Journal of the Transportation R

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Short-term disruptions can have a long-lasting negative effect on traffic flow exceeding the duration of the disruption itself. This is especially the case when traffic demand approaches the network’s capacity. On-demand ride-sourcing services like ride-hailing and ride-pooling do not only have an impact on the overall kilometers driven in a network, but also conduct frequent stopping maneuvers to let passengers board and alight. As further growth of such services is expected, municipalities will need to find ways to organize and, if needed, regulate such activities. This paper proposes, evaluates, and discusses two possible methods that can be part of a holistic strategy to mitigate the impacts of frequent mobility-on-demand curbside stops in an urban environment. The first method adapts the positions of stops at an intersection according to real-time signal timings without adding another variable to the already quite complex traffic signal optimization. The second method discusses a temporary reduction of the number of allowed stopping maneuvers on saturated street sections or in other sensitive areas. Both methods are evaluated using microscopic traffic simulation and result in significant reductions of average vehicle delay as well as standard deviation thereof in all investigated traffic demand scenarios. These results indicate that the proposed methods can help to preserve a stable traffic state in situations close to the capacity limit, which is to the benefit of all stakeholders involved.

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Section: Introductionmentioning

confidence: 99%

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confidence: 99%

Minimizing the Effects of Urban Mobility-on-Demand Pick-Up and Drop-Off Stops: A Microscopic Simulation Approach

Stueger

Fehn

Bogenberger

2022

Transportation Research Record: Journal of the Transportation R

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Driverless, or Carless Future? Socio-technical Scenarios of Autonomous Urban Mobility in the Czech Republic

Szabo¹

2020

ToTS

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The autonomous vehicles are in the phase of prototypes and proofs-of-concept, yet the promises and visions of autonomous future already drive significant changes in long term urban planning. We utilise the socio-technical transition approach to autonomous vehicles' services to help to understand the dynamics of the development and to direct public policies in order to foster a more environmentally and socially sustainable urban mobility. The research uses a three-round Delphi method with experts and stakeholders in the field of research and development to explore potential pathways and develop a multi-level perspective (MLP) socio-technical model of autonomous vehicles' implementation in Czech cities. There already exist stabilising and destabilising pressures within the automobile regimes, closely connected to the autonomous vehicles development, which may result in divergent, more or less disrupting pathways. Considering a varyingly high level of uncertainty in specific regimes, we have developed three diverse socio-technical scenarios: 1. A transformation -'sceptical-public transport' pathway, barring any significant technological or societal advancements towards autonomous driving in Czech urban context; 2. A reconfiguration -'slow incremental development' scenario, in which the incremental progress enables more flexible and effective public transport services, shared mobility and promotes electromobility; and 3. A technological substitution -'techno-optimist' scenario, relying heavily on fast technological progress towards fully autonomous vehicles without requiring vast additional infrastructure and use of V2X communication. Through analysis of the promising niche innovations and their regimelandscape interactions, the article devises a scope for possible policy actions in order to support more sustainable autonomous mobility development.

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Quantifying the Impact of Transportation Network Companies (TNCs) on Traffic Congestion in San Francisco

Cited by 2 publications

References 11 publications

Minimizing the Effects of Urban Mobility-on-Demand Pick-Up and Drop-Off Stops: A Microscopic Simulation Approach

Minimizing the Effects of Urban Mobility-on-Demand Pick-Up and Drop-Off Stops: A Microscopic Simulation Approach

Driverless, or Carless Future? Socio-technical Scenarios of Autonomous Urban Mobility in the Czech Republic

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