Changing transport planning objectives during the Covid-19 lockdowns: Actions taken and lessons learned for enhancing sustainable urban mobility planning

Kamargianni, Maria; Georgouli, Christina; Tronca, Luciano Pana; Chaniotakis, Manos

doi:10.1016/j.cities.2022.103873

Cited by 15 publications

(11 citation statements)

References 26 publications

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“…The perceived physical risk is negatively associated with carsharing usage. Kamargianni et al (2022) Europe Survey data √ √ 1. Promote shared mobility, micromobility and MaaS are the focused strategy for large areas; 2.…”

Section: Introductionmentioning

confidence: 99%

“…The literature about shared mobility in COVID-19 is enriched. Existing studies major focused on how shared mobility affect by COVID-19 during ( del Alonso-Almeida, 2022 , Bucsky, 2020 , Garaus and Garaus, 2021 , Kamargianni et al, 2022 , Menon et al, 2020 , Rahimi et al, 2021 , Shokouhyar et al, 2021 , Turoń et al, 2021 , Zhang et al, 2022 ) and after the pandemic ( Awad-Núñez et al, 2021 , Gragera, 2021 , Hensher, 2020 , Menon et al, 2020 , Shokouhyar et al, 2021 , Tsvetkova et al, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

“… Rahimi et al (2021) found that people with a higher income, who were younger, and who lived in rural areas had a lower risk perception of shared mobility services during the pandemic. In policy-making research, promoting shared mobility, micromobility, and mobility as a service (MaaS) was still one of the prior works for some Europe agencies of large size areas (more than 500,000 inhabitants) during the pandemic ( Kamargianni et al, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Post-pandemic shared mobility and active travel in Alabama: A machine learning analysis of COVID-19 survey data

Nie

et al. 2023

Travel Behaviour and Society

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Post-pandemic shared mobility and active travel in Alabama: A machine learning analysis of COVID-19 survey data

Nie

et al. 2023

Travel Behaviour and Society

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“…niveles del proceso de planificación para garantizar una colaboración fluida entre las partes interesadas (Kamargianni, Georgouli, Tronca y Chaniotakis, 2022). España, a través del Ministerio de Transportes, Movilidad y Agenda Urbana [MITMA], demuestra cómo el cambio de paradigma de la administración pública fortalece los canales de comunicación, llevando a cabo un Diálogo Abierto de Movilidad para considerar a todos los actores sociales implicados.…”

Section: Introductionunclassified

“…Cabe señalar la necesidad de un cambio fundamental en los patrones de inversión de transporte público basado en el principio de evitar o reducir viajes a través de la integración del uso del suelo y la planificación del transporte (Charan y Venkataraman, 2017). De acuerdo con Kamargianni et al (2022), es esencial mejorar el transporte público y su infraestructura, promover la movilidad activa y los modos energéticamente eficiente, optimizar la accesibilidad de las áreas relegadas a la periferia al cuerpo urbano dinámico, como el caso del metrocable en Medellín (Bocarejo et al, 2014).…”

Section: Introductionunclassified

Aprovechamiento y presentación de potencialidades sostenibles en el modelo de movilidad urbana del centro de la ciudad de Ambato

Balladares

Moya-Jiménez

2022

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The intensified urbanization process of recent decades has highlighted the need to plan cities, suitably considering people’s mobility. The goal of this article is to analyze the mobility conditions of Ambato city center using a sustainability approach. The methodology used was based on a theoretical review and analysis of official documents, fieldwork, and observation records. The results were obtained by analyzing objective and technical variables that show the study area’s potentialities and weaknesses to develop active and less polluting modes of transport. A reflection on the characteristics of pedestrians, cyclists, and mass public transport is presented to propose management strategies that aim at strengthening the current mobility model.

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Shared Micro-mobility Market Disturbances: the Polish Bike Sharing Market in Light of Z-score Analysis

Bieliński,

Ważna,

Antonowicz

2024

Schmalenbach J Bus Res

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Urban transportation has changed dramatically in the recent years through the large scale implementation of shared micro-mobility services, especially bike sharing systems (BSS) and electric scooter sharing (ESS). The COVID-19 pandemic brought further changes and uncertainty to this turbulent business environment. In 2020, the major BSS operator in Poland filed for bankruptcy claiming that its problems arise from the COVID-19 pandemic. Market reports and media speculated that BSS business, despite being publicly financed, and considered to be a of part of public transportation system, could be unsustainable in face of the competition from ESS. We used Z‑score analysis to investigate if bike sharing systems operators’ problems began before or during the COVID-19 pandemic and large scale development of ESS. Our study focuses on the Nextbike company, which held a dominant stake in the Polish BSS market. It also covers two other major Polish operators and includes a German operator for comparative analysis. To complement the quantitative findings from z‑score analysis, we have also interviewed representatives of major stakeholders, which deepened our understanding of BSS problems. The results of our research indicate that although the market was affected by the COVID-19 pandemic and growing scooter-sharing competition, the problems of the largest BSS operator were specific to this company, and the entire market was not under the risk of failure.

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Changing transport planning objectives during the Covid-19 lockdowns: Actions taken and lessons learned for enhancing sustainable urban mobility planning

Cited by 15 publications

References 26 publications

Post-pandemic shared mobility and active travel in Alabama: A machine learning analysis of COVID-19 survey data

Post-pandemic shared mobility and active travel in Alabama: A machine learning analysis of COVID-19 survey data

Aprovechamiento y presentación de potencialidades sostenibles en el modelo de movilidad urbana del centro de la ciudad de Ambato

Shared Micro-mobility Market Disturbances: the Polish Bike Sharing Market in Light of Z-score Analysis

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