On the inefficiency of ride-sourcing services towards urban congestion

Beojone, Caio Vitor; Geroliminis, Nikolas

doi:10.1016/j.trc.2020.102890

Cited by 108 publications

(31 citation statements)

References 65 publications

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“…This has cast doubt on claims that ridesourcing services can provide an affordable mode of transportation and expand the access to public transit for less affluent people and those living in disadvantaged areas [2,4,34,58]. Geographically, ridesourcing services are used more in urban areas, midsized and large cities, and neighborhoods with high-density and mixed land uses [59][60][61].…”

Section: Negative Social Impactsmentioning

confidence: 99%

The Social, Economic, and Environmental Impacts of Ridesourcing Services: A Literature Review

Khavarian-Garmsir

Sharifi

Abadi

2021

Future Transportation

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The proliferation of ridesourcing services has raised both hopes and concerns about their role in cities. The impacts of ridesourcing services are complex and multi-faceted. Through reviewing the literature, this study aims to identify the social, economic, and environmental impacts of these services and highlight opportunities and challenges that lay ahead of them for resolving issues related to urban transportation. According to the results, ridesourcing services offer safe modes of transport that provide convenient mobility options, improve transit availability in disadvantaged and remote areas, and respond to taxi demand fluctuations. They can create new job opportunities by employing new human resources that have not been used before, provide flexible working hours for drivers, and are more efficient than taxi cabs. These services provide other opportunities to extend or complement public transit, reduce car ownership and congestion, and minimize parking supply. However, they are criticized for unfair competition with traditional taxis, limited compliance with social legislation, and lack of affordability. They are not available in all places and exclude some vulnerable and socially disadvantaged groups. Labor rights are not secure in this industry, and driver income is not stable. Finally, there is also evidence showing that, in some cases, they contribute to the growth of VMT, energy use, greenhouse gas emissions, and congestion in cities.

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Section: Negative Social Impactsmentioning

confidence: 99%

The Social, Economic, and Environmental Impacts of Ridesourcing Services: A Literature Review

Khavarian-Garmsir

Sharifi

Abadi

2021

Future Transportation

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“…Additionally, regional and localscale impacts stem from the emission of pollutants, fine particulate matter, noise and erosion of ecosystem function and viability. These are equally important and have immediate tangible negative impacts -for example, vehicle-related air pollution contributes to approximately 184 000 premature deaths and a considerably greater number of victims of longer-term pollution-related ailments (Bhalla et al, 2014).…”

Section: Source: United Nations (2021)mentioning

confidence: 99%

“…Increased VKT in turn exacerbates congestion at peak hours and in crowded networks (Agarwal, Mani, and Telang, 2019;Nie, 2017). This is especially of concern since 20-40% of ride-sourcing trips take place at peak hours (Beojone and Geroliminis, 2021). In some cases, as in San Francisco, there is evidence that although personal car traffic represents the bulk of congestion, ride-sourcing services are the largest contributor to traffic congestion growth (Erhardt et al, 2019).…”

Section: How Do the Co2 Emission Intensities Of Various Mobility Services Compare?mentioning

confidence: 99%

The innovative mobility landscape

2021

International Transport Forum Policy Papers

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Mobility as a Service (MaaS) challenges various existing models in organising and delivering mobility within and outside urban areas. MaaS presents opportunities for new value creation as well as market creation, and has attracted the attention of established and new market actors. The concepts underpinning MaaSuser-centricity, seamless digital experience, bundled services and integrated payment and information management -have the potential to address persistent and growing mobility challenges across different contexts and world regions. Public authorities hope to harness MaaS to better achieve public policy objectives designed to tackle those challenges.Despite potential benefits, MaaS remains largely untested at scale, and consequently, there is little available evidence regarding its impacts, either positive or negative. Further, a viable and remunerative business model for MaaS -as well as many of its component parts -is unclear and fraught with structural tensions that may only partially be addressed through regulation.Much has been written about MaaS -from multiple and sometimes conflicting perspectives. The objective of this report is not to revisit this rich discussion, but rather to take stock of the current understanding of MaaS and how it may be usefully implemented to produce a vibrant mobility service ecosystem that delivers clear benefits to people and is aligned with societal objectives.

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“…Ramezani and Nourinejad, 2018), or ride-sourcing services in multi-modal networks (e.g. Wei et al, 2020;Beojone and Geroliminis, 2020).…”

Section: Introductionmentioning

confidence: 99%

Identification and characterizing of the prevailing paths on a urban network for MFD-based applications

Batista

Seppecher

Leclercq

2021

Transportation Research Part C: Emerging Technologies

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One of the main challenges for multi-regional application of the aggregated traffic models based on the Macroscopic Fundamental Diagram, lies in the identification and characterization of the most prevailing paths chosen by drivers. In this paper, we propose a methodological framework, based on two distinct methods, to determine these prevailing paths. The first method requires the information about travel patterns in the urban network as well as the information about the city network partitioning. The second method is more parsimonious, and consists on the direct calculation of shortest-cost paths on the aggregated network. For this, we propose four impedance functions that utilize topological features of the urban network and its partitioning. We test the performance of this methodological framework for determining the most prevailing paths on a network representing the metropolitan area of Lyon (France). We consider a set of real trajectories (i.e. GPS data) of drivers in this network as a benchmark. We show that the proposed methods are able to identify the most prevailing paths as the ones chosen by drivers, as evidenced by a large similarity value between the sets of paths. Based on a maximum likelihood estimation, we also show that the Weibull distribution is the one that better reproduces the functional form of the network-wide distribution of travel distances. However, the characterization of the functional form of such distributions characteristic to each region defining a path is not trivial, and depends on the complex topological features of the urban network concerning the definition of its partitioning. We also show that the Euclidean distance metrics provides good estimates of the average travel distances. Interestingly, we also show that the most prevailing paths are not necessarily the ones that have the lowest average travel distances.

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On the inefficiency of ride-sourcing services towards urban congestion

Cited by 108 publications

References 65 publications

The Social, Economic, and Environmental Impacts of Ridesourcing Services: A Literature Review

The Social, Economic, and Environmental Impacts of Ridesourcing Services: A Literature Review

The innovative mobility landscape

Identification and characterizing of the prevailing paths on a urban network for MFD-based applications

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