scholarly journals The Bike-Sharing System in Slovakia and the Impact of COVID-19 on This Shared Mobility Service in a Selected City

2021 ◽  
Vol 13 (12) ◽  
pp. 6544
Author(s):  
Stanislav Kubaľák ◽  
Alica Kalašová ◽  
Ambróz Hájnik
Keyword(s):  
Slovak Republic ◽  
Urban Mobility ◽  
Risk Of Infection ◽  
Mobility Service ◽  
Current State ◽  
Shared Mobility ◽  
Bike Sharing ◽  
The Impact ◽  
The City

The current COVID-19 pandemic situation has a very significant impact on urban mobility, as evidenced by fundamental changes in passengers’ behavior. In many cases, passengers have switched to other modes of transport to minimize the risk of infection (particularly cycling and walking). This paper aims to point out the analysis results of the impacts of a bike-sharing system in the city of Košice before and during the COVID-19 pandemic. Additionally, this paper describes an analysis of the current state of bike-sharing in the Slovak Republic. We have stated a timeline of significant dates related to the COVID-19 pandemic. COVID-19 had a significant impact on people’s mobility and bike-sharing, as evidenced by the graphs and results in this paper.

scholarly journals Assessing the Impact of COVID-19 on Bike-Sharing Usage: The Case of Thessaloniki, Greece

2020 ◽  
Vol 12 (19) ◽  
pp. 8215 ◽  
Author(s):  
Andreas Nikiforiadis ◽  
Georgia Ayfantopoulou ◽  
Afroditi Stamelou
Keyword(s):  
Questionnaire Survey ◽  
Urban Mobility ◽  
Risk Of Infection ◽  
Bike Sharing ◽  
Transport Modes ◽  
The Impact ◽  
The City

The COVID-19 pandemic had a significant effect in urban mobility, while essential changes are being observed in travelers’ behavior. Travelers in many cases shifted to other transport modes, especially walking and cycling, for minimizing the risk of infection. This study attempts to investigate the impact that COVID-19 had on travelers’ perceptions towards bike-sharing systems and whether the pandemic could result in a greater or lesser share of trips that are being conducted through shared bikes. For that reason, a questionnaire survey was carried out in the city of Thessaloniki, Greece, and the responses of 223 people were analyzed statistically. The results of the analysis show that COVID-19 will not affect significantly the number of people using bike-sharing for their trips. However, for a proportion of people, bike-sharing is now more attractive. Moreover, the results indicate that bike-sharing is now more likely to become a more preferable mobility option for people who were previously commuting with private cars as passengers (not as drivers) and people who were already registered users in a bike-sharing system. The results also provide evidence about the importance of safety towards COVID-19 for engaging more users in bike-sharing, in order to provide them with a safe mobility option and contribute to the city’s resilience and sustainability.

scholarly journals The current state of urban soils in the core of Baku’s agglomeration

2019 ◽  
Vol 5 (3) ◽  
pp. 128-134
Author(s):  
L. Gasimova
Keyword(s):  
Urban Soils ◽  
Ecological Status ◽  
Urban Parks ◽  
Soil Condition ◽  
The Core ◽  
Current State ◽  
Green Areas ◽  
The Impact ◽  
The City

This article presents the results of studies the soils of urban parks, gardens, roadside zones in the core of the agglomeration of Baku. The urban soils were studied as indicators of the ecological status of the city of Baku. The impact of soil condition on the green areas in seven districts of Baku has been evaluated.

scholarly journals Effects of the COVID-19 Lockdown on Urban Mobility: Empirical Evidence from the City of Santander (Spain)

2020 ◽  
Vol 12 (9) ◽  
pp. 3870 ◽  
Author(s):  
Alfredo Aloi ◽  
Borja Alonso ◽  
Juan Benavente ◽  
Rubén Cordera ◽  
Eneko Echániz ◽  
...  
Keyword(s):  
Public Transport ◽  
Traffic Control ◽  
Traffic Accidents ◽  
Urban Mobility ◽  
Environmental Sensors ◽  
Daily Mobility ◽  
Private Car ◽  
The Impact ◽  
The City ◽  
Northern City

This article analyses the impact that the confinement measures or quarantine imposed in Spain on 15 March 2020 had on urban mobility in the northern city of Santander. Data have been collected from traffic counters, public transport ITS, and recordings from traffic control cameras and environmental sensors to make comparisons between journey flows and times before and during the confinement. This data has been used to re-estimate Origin-Destination trip matrices to obtain an initial diagnostic of how daily mobility has been reduced and how the modal distribution and journey purposes have changed. The impact on externalities such as NO2 emissions and traffic accidents have also been quantified. The analysis revealed an overall mobility fall of 76%, being less important in the case of the private car. Public transport users dropped by up to 93%, NO2 emissions were reduced by up to 60%, and traffic accidents were reduced by up to 67% in relative terms.

Dial-a-Ride Problem with Users’ Accept/Reject Decisions Based on Service Utilities

2020 ◽  
Vol 2674 (10) ◽  
pp. 55-67
Author(s):  
Xiaotong Dong ◽  
David Rey ◽  
S. Travis Waller
Keyword(s):  
Minimum Cost ◽  
Collective Choice ◽  
Profit Margin ◽  
User Preference ◽  
Computational Time ◽  
Optimal Solutions ◽  
Mobility Service ◽  
Shared Mobility ◽  
Computationally Expensive ◽  
The Impact

The classic dial-a-ride problem (DARP) aims at designing the minimum-cost routing that accommodates all requests under a set of constraints. However, several modeling and computational challenges have hindered the successful deployment of dial-a-ride solutions. This work proposes incorporating user preference decisions within a rich DARP formulation. Specifically, it is considered that two travel modes are available: a shared mobility (DARP) service and a private travel option. Utility functions for each travel mode are integrated and it is assumed that the utility of the shared mobility service depends on the collective choice of travelers whereas the utility of private travel is fixed. Assuming that travelers are rational and seek to maximize their trip utility, extra variables and constraints are added to ensure that all requests are served by the mode with the higher utility. The behavior of the proposed integrated DARP with formulation of user preference constraints is examined by comparing the optimal solutions and computational time of this model with its classic DARP counterpart. Furthermore, the impact of various formulations of fare and the tolerance of the integrated DARP model is explored. Results show that user-personalized fare formulation improves model tolerance and profit margin, albeit it is rather computationally expensive.

scholarly journals Metro Stations as Crowd-shipping Catalysts: An Empirical and Computational Study

2021 ◽  
Author(s):  
Carlo Filippi ◽  
Francesca Plebani
Keyword(s):  
Economic Impact ◽  
Public Transport ◽  
Computational Study ◽  
Home Delivery ◽  
Environmental Benefits ◽  
Conventional Vehicle ◽  
Mobility Service ◽  
Shared Mobility ◽  
Motorized Vehicles ◽  
The City

Abstract Crowd-shipping is a promising shared mobility service that involves the delivery of goods using non-professional shippers. This service is mainly intended to reduce congestion and pollution in city centers but, as some authors observe, in most crowd-shipping initiatives the crowd rely on private motorized vehicles and hence the environmental benefits could be small, if not negative. Conversely, a crowd-shipping service relying on public transport should maximize the environmental benefits. Motivated by this observation, in this study we assess the potentials of crowd-shipping based on metro commuters in the city of Brescia, Italy. Our contribution is twofold. First, we analyze the results of a survey conducted among metro users to assess their willingness to act as crowd-shippers. The main result is that most young commuters and retirees are willing to be crowd-shippers even for a null reward. Second, we assess the potential economic impact of using metro-based crowd-shipping coupled with a traditional home delivery service. To this end, we formulate a variant of the VRP model where the customers closest to the metro stations may be served either by a conventional vehicle or by a crowd-shipper. The model is implemented using Python with Gurobi solver. A computational study based on the Brescia case is performed to get insights on the economic advantages that a metro-based crowd delivery option may have for a retailing company.

scholarly journals Urban Mobility Demand Profiles: Time Series for Cars and Bike-Sharing Use as a Resource for Transport and Energy Modeling

Data ◽  
2019 ◽  
Vol 4 (3) ◽  
pp. 108 ◽  
Author(s):  
Noussan ◽  
Carioni ◽  
Sanvito ◽  
Colombo
Keyword(s):  
Time Series ◽  
Traffic Monitoring ◽  
Transport Sector ◽  
High Temporal Resolution ◽  
Urban Mobility ◽  
Time Step ◽  
Transport Models ◽  
Bike Sharing ◽  
Urban Contexts ◽  
The City

The transport sector is currently facing a significant transition, with strong drivers includingdecarbonization and digitalization trends, especially in urban passenger transport. The availability ofmonitoring data is at the basis of the development of optimization models supporting an enhancedurban mobility, with multiple benefits including lower pollutants and CO2 emissions, lower energyconsumption, better transport management and land space use. This paper presents two datasetsthat represent time series with a high temporal resolution (five-minute time step) both for vehiclesand bike sharing use in the city of Turin, located in Northern Italy. These high-resolution profileshave been obtained by the collection and elaboration of available online resources providing liveinformation on traffic monitoring and bike sharing docking stations. The data are provided for theentire year 2018, and they represent an interesting basis for the evaluation of seasonal and dailyvariability patterns in urban mobility. These data may be used for different applications, rangingfrom the chronological distribution of mobility demand, to the estimation of passenger transportflows for the development of transport models in urban contexts. Moreover, traffic profiles are at thebasis for the modeling of electric vehicles charging strategies and their interaction with the powergrid.

scholarly journals Developing a sustainable urban transport policy in the & eld of supply in the face of the latest challenges

2019 ◽  
Vol 2019 (12) ◽  
pp. 1-11
Author(s):  
Maria Matusiewicz
Keyword(s):  
Urban Areas ◽  
Local Economy ◽  
Transport Policy ◽  
Urban Transport ◽  
Urban Mobility ◽  
Diffi Cult ◽  
The Face ◽  
Sustainable Urban Mobility ◽  
The Impact ◽  
The City

Transport of urban goods has a signifi cant impact on the lives of residents and the functioning of the local economy. At the same time, it creates numerous problems related to the impact on the environment and the surroundings. Thus, the distribution of goods in the city has a signifi cant impact on the lives of residents and tourists' impressions. Due to the fact that 25 percent EU emissions from transport come from urban areas, cities play a key role in mitigating the negative eff ects of transport. Many cities are currently implementing Sustainable Urban Mobility Plan (SUMP) that focus on people's mobility. In most cases, the distribution of goods is not mentioned in the SUMP or is mentioned briefl y. In the absence of clear guidelines for resolving urban transport issues, some cities have adopted various strategic documents and measures. In the absence of standardization of documents, it is diffi cult to compare them and determine the level of city advancement in the implementation of urban logistics measures. To overcome this problem, the EC initiated the concept of Sustainable Urban Logistics Plan (SULP). The article presents the structure and plan of implementing SULP.

Assessing and Predicting Mobility Improvement of Integrating Bike-Sharing into Multimodal Public Transport Systems

2021 ◽  
pp. 036119812110450
Author(s):  
Christian Kapuku ◽  
Seung-Young Kho ◽  
Dong-Kyu Kim ◽  
Shin-Hyung Cho
Keyword(s):  
Machine Learning ◽  
Transport Systems ◽  
Mobility Performance ◽  
Smart Card Data ◽  
Machine Learning Model ◽  
Multimodal Transport ◽  
Shared Mobility ◽  
Bike Sharing ◽  
The City ◽  
Better Than

New shared mobility services have become increasingly common in many cities and shown potential to address urban transportation challenges. This study aims to analyze the mobility performance of integrating bike-sharing into multimodal transport systems and develop a machine learning model to predict the performance of intermodal trips with bike-sharing compared with those without bike-sharing for a given trip using transit smart card data and bike-sharing GPS data from the city of Seoul. The results suggest that using bike-sharing in the intermodal trips where it performs better than buses could enhance the mobility performance by providing up to 34% savings in travel time per trip compared with the scenarios in which bus is used exclusively for the trips and up to 33% savings when bike-sharing trips are used exclusively. The results of the machine learning models suggest that the random forest classifier outperformed three other classifiers with an accuracy of 90% in predicting the performance of bike-sharing and intermodal transit trips. Further analysis and applications of the mobility performance of bike-sharing in Seoul are presented and discussed.

scholarly journals ‘There’s Nothing’: Unemployment, Attitudes to Work and Punitive Welfare Reform in Post-Crash Salford

2018 ◽  
Vol 23 (4) ◽  
pp. 795-811 ◽  
Author(s):  
Bob Jeffery ◽  
Dawn Devine ◽  
Peter Thomas
Keyword(s):  
Welfare Reform ◽  
Labour Market ◽  
Low Income ◽  
Qualitative Interviews ◽  
Paid Work ◽  
Current State ◽  
Barriers To Employment ◽  
The Uk ◽  
The Impact ◽  
The City

This article explores attitudes and barriers to work, and the impact of punitive welfare reform in the City of Salford (Greater Manchester). Contextualising our discussion in relation to the contemporary landscape of inequality and social class in the UK, we draw attention to the trends towards the expansion of low-paid work, precarity, and stigmatisation, and highlight the need for more qualitative, geographically sensitive studies of how these phenomena are being played out. Describing the economic context of the City of Salford and the current state of its labour market, we then present the findings from qualitative interviews with a sample of low income, mostly working-class participants, who describe their orientations towards employment, perceptions of the labour market, barriers to employment and interactions with punitive welfare reform. Ultimately, we conclude by noting that both strategies of neoliberal statecraft aimed at the reduction of the charitable state described by Wacquant are at play in Salford and that their result is a discouragement from claiming welfare and a recommodification of labour.

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