Evaluating the public acceptance of sustainable mobility interventions responding to Covid-19: The case of the Great Walk of Athens and the importance of citizen engagement

Cities, Journal Year: 2022, Volume and Issue: 132, P. 103966 - 103966

Published: Aug. 29, 2022

COVID-19, the most wide-spread and disruptive pandemic in over a century, enforced emergency urban design responses meaning to recalibrate transport provision globally. This is first work that systematically evaluates 'public acceptance' as proxy for 'policy success' 'potential longer-term viability' of high-profile sustainable intervention package introduced 2020 capital city Greece known Great Walk Athens (GWA). achieved through twin statistical analysis an e-survey looked into attitudes mobility experiences Athenians accessing area trial daily. The research enabled comparison between pre- post-implementation traffic situations provided details about specific measures packaged GWA project. Our results suggest walking cycling uptake were only marginally improved. Traffic delays car users considerable. Car usage declined somewhat, with exception ride-sharing. Public ridership numbers suffered lot because concerns sharing closed space many others during pandemic. Men people on low income more likely agree 'change'. Naturally this was case identified primarily cyclists pedestrians. impactful elements terms lane sacrifices (i.e., redevelopment Panepistimiou Street) had lowest acceptability rates. A key reason underpinned people's hesitation approve initiative lack public consultation decision-making shaped study provides evidence-based generalisable lessons similar metropolitan environments looking implement or evaluate possibly making permanent 'rushed' anti-Covid street measures.

Language: Английский

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Analysing urban growth using machine learning and open data: An artificial neural network modelled case study of five Greek cities

Sustainable Cities and Society, Journal Year: 2022, Volume and Issue: 89, P. 104337 - 104337

Published: Dec. 5, 2022

Urban development if not planned and managed adequately can be unsustainable. growth models have been a powerful toolkit to help tackling this challenge. In paper, we use machine learning approach, apply an urban model five of the largest cities in Greece. Specifically, first develop methodology collect, organise, handle transform historical open spatial data, concerning various impact factors, into data. Such factors involve social, economic, biophysical, neighbouring-related political driving forces, which must transformed tabular We also provide artificial neural network (ANN) train evaluate it using goodness-of-fit metrics, turn best weights factors. Finally, execute prediction for 2030, presenting results output maps each case study cities. As our is based on pan-European datasets, used any area within Europe, open-source utility developed support it. sense, work provides local policy-makers planners with instrument that could them analyse future scenarios take right decisions going forward.

Language: Английский

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Global microscale walkability ratings and rankings: A novel composite indicator for 59 European city centres

Journal of Transport Geography, Journal Year: 2023, Volume and Issue: 111, P. 103645 - 103645

Published: July 1, 2023

Several walkability studies have focused primarily on macro-level environmental factors. Nevertheless, previous research has shown that street-level design can also support walking. In this paper, we present a novel Microscale Walkability Index, 'MWI', measures, ranks, and analyses the pedestrian-friendliness levels of 59 heterogeneous city centres in 26 European countries. We selected case from capitals 33 metropolitan areas regional or national importance with >500.000 inhabitants. The conceptual framework is based Audit Pedestrian Streetscapes tool, while final scores were synthesised by aggregating three comparative benchmarking dimensions: sidewalk environment (SE), pedestrian crossings (PC), streetscape level (SL). used OECD's multivariate statistical analysis concept as well an empirically aggregated indicator dataset contained street inventories centres, combined observations Google Street View total 112.000 segments/crossings 17 urban topics. Results showed five most pedestrian-friendly are Barcelona, Bilbao, Oslo, Zurich, Paris, whereas Bucharest, Athens, Sofia, Plovdiv, Palermo ranked last. Mann-Whitney tests significant differences average microscale rankings, when cities had higher GDP per capita, proportion walking/cycling better sustainability performance. This study paves way for future spatially dissagregated approaches using multi-level models recommends greater policy improving facilities less developed Southern/Eastern Europe.

Language: Английский

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Transport stakeholders’ perceptions of Mobility-as-a-Service: A Q-study of cultural shift proponents, policy advocates and technology supporters

Transportation Research Part A Policy and Practice, Journal Year: 2024, Volume and Issue: 181, P. 103964 - 103964

Published: Feb. 9, 2024

Digitalisation along with the emerging realisation that car-centric design and 'predict provide' policies failed in environmental socio-economic terms, have encouraged transport industry to revisit sustainable traffic management. Mobility-as-a-Service (MaaS) is a intervention, still its infancy, promising, theory at least, significant benefits for societies by disengaging travel from automobility via 'one-stop digital shop' offering integrated multimodal services. However, these benefits, ranging improved more affordable access less motorised pollution, largely depend on how stakeholders will choose adopt, deliver manage this intervention. Identifying understanding distinct perceptions of diverse spectrum around MaaS may therefore help efforts create formula allow building schemes are attractive users effective operationally. This study uses first time context powerful semi-quantitative Q-method sample 50 expert participants 17 countries collect, contextualise prioritise their key insights. These governmental representants, consultants, leading academics researchers working directly or indirectly sustainable/shared mobility programmes. Our analysis led identification three factors (i.e., clusters respondents similar views), each specific priorities preferences, namely: Cultural Shift Proponents, Policy Advocates, Technology Supporters. The Proponents see introduction as part cultural shift away automobility, Advocates recognise predominant role rules regulations pushing forward paradigm, Supporters technology integration facilitator success. highlights limited involvement planning delivery, absence clear plan when it comes providers, need provide well-branded, inclusive commuters, tourists vulnerable including awareness-raising activities, importance keeping user costs modest usage data safe.

Language: Английский

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Analyzing the typology and livability of 15-minute travel at metro stations in high-density cities: A case study of Singapore

Cities, Journal Year: 2025, Volume and Issue: 158, P. 105727 - 105727

Published: Jan. 17, 2025

Language: Английский

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Intercity Road Transportation Assessment: Double-Frontier Q-Cross-Efficiency Method

Transport Policy, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

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A composite index for assessing accessibility in urban areas: A case study in Central Athens, Greece

Journal of Transport Geography, Journal Year: 2023, Volume and Issue: 108, P. 103566 - 103566

Published: March 3, 2023

Effective transportation planning necessitates the consideration of all road network users and their needs. Towards this goal, integration accessibility in development tools that enable assessment measurement within urban areas becomes essential. This study aims to contribute process by developing two indices: infrastructure opportunity index, which use an infrastructure-based distance-based approach, respectively. Four types needs are considered: pedestrians, People with Disabilities (PWD), cyclists public transport users. Data for modeling indices collected by: 1) audit, 2) a user survey, 3) geographic information systems. The proposed method is applied district central Athens, Greece, characterized high population density level activities. Infrastructure Accessibility Index (IAI) measures sidewalks, crosswalks, bikeways stops. IAI results indicate moderate levels pedestrians PWD, sidewalks crosswalks. Opportunity (OAI) share different reach opportunities time threshold. accepted threshold per type estimated based on survey responds, seven opportunities: green spaces, recreational education buildings, health service building, commercial uses Compared IAI, majority concludes recommendations improve at local level.

Language: Английский

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Describing Micro-Mobility First/Last-Mile Routing Behavior in Urban Road Networks through a Novel Modeling Approach

Sustainability, Journal Year: 2023, Volume and Issue: 15(4), P. 3095 - 3095

Published: Feb. 8, 2023

E-scooters aspire to provide flexibility their users while covering the first/last mile of a multimodal trip. Yet, dual travel behavior, i.e., utilizing both vehicles’ roadways and pedestrians’ sidewalks, creates new challenges transport modelers. This study aims model e-scooter riding behavior in comparison traditional urban modes, namely car walking. The modeling approach is based on perceived safety that influenced by road environment affects routing behavior. An ordinal logistic applied classify links 7-point Likert scale. parametric utility function combines only three basic parameters: time, cost, safety. First/last choices are modeled test network developed Athens, Greece, shortest-path algorithm. proposed proved be useful, as an area heterogenous terms perceptions. Indeed, outputs show e-scooters limited practice low-perceived To avoid unsafe environments where motorized traffic dominates, riders tend detour. decision-making process tool can identify discontinuities. Nevertheless, significance regarding should further discussed.

Language: Английский

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Smart Mobility in Urban Areas: A Bibliometric Review and Research Agenda

Sustainability, Journal Year: 2023, Volume and Issue: 15(8), P. 6754 - 6754

Published: April 17, 2023

Transportation systems globally face challenges related to congestion, decreased quality of life, limited accessibility, increased harmful emissions and costs, growing use private cars in some cases lack intra intermodal integration. Smart Mobility is believed be a solution these by providing comprehensive intelligent mobility services, decreasing transportation promoting safety, combating pollution traffic congestion. Despite this potential, there still uncertainty surrounding what smart whether it moving toward improving the life making cities more sustainable. To address gap, paper conducts bibliometric review 3223 Web Science Core Collection-indexed documents provide understanding research. The findings reveal multi-disciplinary approaches previous studies with strong emphasis on technological aspects social or economic considerations current identifies four distinct periods research, recent interest sparked advancements big data, deep learning, artificial intelligence, real-time technologies transport systems. However, dearth research developing countries, where urban populations are rapidly increasing. Thus, proposes agenda gaps knowledge. Furthermore, provides an updated integrated definition as advanced technologies, such Internet Things (IoT), data analytics, improve efficiency, for all, sustainability while safeguarding life. primary challenge co-evolution existing systems, further integration essential advancing paper’s main contribution conceptualisation novel topics that build unified base.

Language: Английский

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Exploring the effect of perceived safety in first/last mile mode choices

Transportation, Journal Year: 2024, Volume and Issue: unknown

Published: April 13, 2024

Abstract Micro-mobility transport modes like e-bikes and e-scooters promise higher flexibility when covering the first/last mile trip from/to public stop/station to destination point vice-versa. However, safety concerns about riding a micro vehicle in mixed traffic limit of shared mobility make conventional ones still more attractive, e.g., private car walking. This study investigates effect perceived mode choice by conducting an image-based double stated preference experiment targeted at potential micro-mobility users developing ordinal logistic regression models. The Value-of-Safety (VoS) is introduced. It refers additional distance user willing exchange avoid unsafe path. Main findings show that space can be middle-ground solution, as it reports lower heterogeneity among individuals terms perceptions. intensive use mixed-traffic decreases pedestrians, while e-bikers are threatened existence heavy motorized traffic. Low mean VoS also reported for e-scooters, demonstrating unwillingness service either detour or this vehicle. e-bike estimated almost equal car. could be, hence, concluded systematically explain unobserved disutility e-bikes.

Language: Английский

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