Multimodal corridor development as a way of supporting sustainable mobility in Athens

Tsigdinos, Stefanos; Nikitas, Alexandros; Bakogiannis, Efthimios

doi:10.1016/j.cstp.2020.11.004

Cited by 14 publications

(3 citation statements)

References 52 publications

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“…In a classification system like this, it would be possible to transform street space from a mere traffic conductor to capacitors of interactions and exchanges where different speeds and modes co-exist [93]. Indeed, a considerable body of literature has already addressed the need for an alternative hierarchy through different methods (e.g., [94][95][96][97][98]) which share a common objective; the making of an accessible and inclusive road environment that, among other goals, helps cycling prosper.…”

Section: Strategic Urban Planning For Cycling Prioritisation How To Integrate Cycling?mentioning

confidence: 99%

Cycling in the Era of COVID-19: Lessons Learnt and Best Practice Policy Recommendations for a More Bike-Centric Future

et al. 2021

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The COVID-19 pandemic has affected our cities in monumental ways with no sector likely being more severely impacted than transport. Lockdowns, physical spacing, transport restrictions and stay-at-home guidelines have transformed personal mobility and highlighted the mistakes of an unbalanced pro-car culture that defined a century of urban planning. One immediate effect of the virus in relation to travel demand and supply was the emergence of active travel modes because of their unique ability to provide a socially distanced way of transport. Cycling is one of the modes that has enjoyed significant attention. Numerous cities have reallocated street and public space to cyclists and introduced pro-bike interventions like pop-up cycle lanes, e-bike subsidies, free bike-share use and traffic calming measures. This newly found outbreak-induced momentum creates an opportunity to establish a new ethos that allows the promotion of potentially permanent strategies that may help cycling to be (re-)established as a robust, mainstream and resilient travel mode for inner city trips and not as a second-class alternative operating under the automobile’s giant shadow. This paper provides a state-of-the-art description of the anti-COVID cycling-friendly initiatives that have been introduced globally, the successes and failures of these initiatives, the lessons learnt that can help us redefine the bicycle’s role in local societies today and a best cycling practice policy guide for planning a more bike-centric future.

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Section: Strategic Urban Planning For Cycling Prioritisation How To Integrate Cycling?mentioning

confidence: 99%

Cycling in the Era of COVID-19: Lessons Learnt and Best Practice Policy Recommendations for a More Bike-Centric Future

et al. 2021

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“…This new hierarchy prioritizes active modes in the streets of the city center of Athens. Respecting this hierarchy, traffic calming measures in the form of shared space are planned in the inner-road network, while multimodal corridors with specialized cycling infrastructures are introduced in the main arterial routes [73]. Lastly, in Scenario 1, cycle lanes are established in the Athinas and Ermou streets, completing the cycle network of the city center.…”

Section: Resultsmentioning

confidence: 99%

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

Tzouras,

Mitropoulos,

Koliou

et al. 2023

Sustainability

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

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“…Yet other studies aimed at expanding FCS for improved Multimodal Designs (Stamatiadis et al, 2019) to identify the location for introducing "multimodal corridors" (Tsigdinos et al, 2020;Tsigdinos et al, 2021). However, the topological characteristics of street segments in USN were overlooked.…”

Section: Introductionmentioning

confidence: 99%

A computational approach for categorizing street segments in urban street networks based on topological properties

Chen,

Mumm,

Carlow

2024

Front. Built Environ.

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Street classification is fundamental to transportation planning and design. Urban transportation planning is mostly based on function-based classification schemes (FCS), which classifies streets according to their respective requirements in the pre-defined hierarchy of the urban street network (USN). This study proposes a computational approach for a network-based categorization of street segments (NSC). The main objectives are, first, to identify and describe NSC categories, second, to examine the spatial distribution of street segments from FCS and NSC within a city, and third, to compare FCS and NSC to identify similarities and differences between the two. Centrality measures derived from network science are computed for each street segment and then clustered based on their topological importance. The adaption of clustering, which is a numerical categorization technique, potentially facilitates the integration with other analytical processes in planning and design. The quantitative description of street characteristics obtained by this method is suitable for development of new knowledge-based planning approaches. When extensive data or knowledge of the real performance of streets are not available or costly, this method provides an objective categorization from those data sets that are readily available. The method can also assign the segments that are categorized as “unclassified” in FCS to the categories in the NSC scheme. Since centrality metrics are associated with the functioning of USNs, the comparison between FCS and NSC not only contributes to the understanding and description of the fine variations in topological properties of the segments within each FCS class but also supports the identification of the mismatched segments, where reassessment and adjustment is required, for example, in terms of planning and design.

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Multimodal corridor development as a way of supporting sustainable mobility in Athens

Cited by 14 publications

References 52 publications

Cycling in the Era of COVID-19: Lessons Learnt and Best Practice Policy Recommendations for a More Bike-Centric Future

Cycling in the Era of COVID-19: Lessons Learnt and Best Practice Policy Recommendations for a More Bike-Centric Future

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

A computational approach for categorizing street segments in urban street networks based on topological properties

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