REPORTS, RESEARCHES AND ANALYSES
The guidebook, prepared by the National Institute of Meteorology and Hydrology (NIMH) and Sofia Development Association, is a free tool for policy, research, education, industry and environmental bodies to understand the processes leading to undesired high levels of pollution in urban areas.
This document, prepared by the National Association of Municipalities in the Republic of Bulgaria (NAMRB), contains a review of the trends in mobility solutions, related to the main innovation of INNOAIR, namely on-demand transport (with electric minibuses) combined with “mobility as a service” like technologies, low emission zones and congestion charging model.
Air pollution in Sofia has long been a problem and despite recent positive developments, the city is still struggling to overcome this complex challenge. Air quality measures are interrelated and finding out how they affect each other will help optimize them faster.
Developing ideas for stimuli for citizens to switch to sustainable transportation - Co-creation Workshop Report
The transition to the use of urban and sustainable transport is a task that requires motivation not only from the institutions, but also from citizens and the business sector. In this regard, the Sofia Development Association, in partnership with Sofia Municipality, organized a co-creation design workshop on developing ideas for stimuli for citizens to switch to sustainable transportation with the participation of over 30 young and active citizens, business representatives and local institutions. The report presents the generated ideas and proposals, as well as the existing incentives.
А guide providing ideas and suggestions for empowerment to local authorities, universities and businesses how to lead the way for a local community that cares. The examples are based on participatory research and co-design process in Sofia.
Passenger behavior analysis may be carried out from a different perspective, depending on the final goals and the available data. In this report we only cover some of the available options, focusing on those of them that are relevant for achieving the goals of INNOAIR project.
Monitoring the concentrations of different compounds in the air over a period of time at different sites, archiving and assuring the quality of these data and their statistical analysis form the basis for air quality assessment in urban areas. The design of a particular air quality monitoring network is a complex task, that takes into account the objectives of the measurements (e.g. for policy development, for public information, for protection of vegetation, for identification of pollution sources etc.).
Benefit Dependency Network (BDN) is a schematic summary of the motives and benefits of a project. For the construction of a logical causal chain of program results, system vision, as well as for their visual presentation, a map of the benefits is needed. This map shows the composition and relationship between the different results of the program: project motivation, project implementation, changes, operational results, and benefits. This is a tool used in decision-making, focusing on benefits and their contribution to the strategic objectives.
The goal of this document is to consider and present scenarios for changes in the air quality caused by a potential reduction of non-environmentally friendly transport. The study focuses on the particulate matter with diameter < 10 μm (PM10).
WHITE BOOK on the introduction and effective operation of low-emission zones for motor vehicles on the territory of the Sofia Municipality
This document is a detailed analysis of the reasons, technology and results of a simulation of pilot testing of the introduction of low emission zones in Sofia.
The student competitions are aligned with the project's activities and give students from several universities the opportunity to put into practice what they have learned and show their talent by proposing solutions for a more sustainable and green future. The competitions offer young people the opportunity to give life to their ideas to change the environment.
In the first edition of the INNOAIR project newsletter, you will find not only information about the key developments in mobility in recent months, but also:
- Results and analysis of a survey on citizens' attitudes towards the transition to active transport.
- Information on the introduction of low-emission zones in the capital.
- Opportunities for involvement in the creation of solutions for innovative urban mobility.
The INNOAIR newsletter updates you on what has happened in the last three months in the field of clean air and sustainable mobility in Sofia: new mobile services, needs and initiatives of people and businesses, R&D, research on human behavior in transport, opportunities to participate in taking decisions.
The INNOAIR newsletter shares with you how we contribute to smarter urban mobility and cleaner air in Sofia. We are happy to present the latest exciting solutions, initiatives and achievements in sustainable mobility in Sofia in the last three months. Stay informed!
With the end of the year approaching, we are happy to inform you on some exciting events and publications that will help you enter 2022 full of inspiration. Not only have we achieved a range of interesting Sofia mobility and air quality developments, but we also started planning the 2022! We would love to hear from our community about your preferences for the second INNOAIR Hackathon so we can plan accordingly and would therefore appreciate your input in our 1-minute hackathon survey!
We showcase the latest innovations and news impacting the future of mobility.
Solutions, initiatives, events and achievements that challenge the citizens of Sofia to move more actively and sustainably, thus helping for cleaner air in the capital!
Don't forget that INNOAIR rewards those who use active transport through the SofiaCoin app, available for Android and iOS - it's not too late to join!
In this issue of the newsletter we bring to you interesting and innovative for Sofia urban mobility solutions. The introduction of the first in Bulgaria low emission zone is round the corner, as is the innovative service on-demand public transport in three Sofia neighbourhoods, while a live map allows you to see all electric public transport and shared mobility vehicles.
Have a look at the solutions for cleaner air that students developed and implemented in the city. Get to know some of the international INNOAIR partners. Learn more about these and other initiatives and events that help our capital city to breath more easy!
This issue brings to you the latest INNOAIR project developments: we welcomed to Sofia the new electric minibuses, the BUSINN mobile app is ready and soon will be available for download on your phone, the student competitions resulted in the installation of the first cameras to count bicycles in the city and the design brand of the new transport on-demand service. Read more!
NNOAIR entered its most exciting phase of rolling out its innovation pilots. Although learning is the primary goal of piloting, the careful design and stakeholder engagement turn them more into high-stakes dress rehearsals. It is not surprising that INNOAIR attracted a lot of international attention by Politico, European Week of Regions and Cities, EUI Applicant seminar and more.
The article, published in American Institute of Physics Conference Proceedings (AIP), models delays in public transport, taking into account random factors and events that lead to disproportionately large changes in the schedule.
The article, published in American Institute of Physics Conference Proceedings (AIP), analyzes the possibilities for modeling transport systems, using sources of information of different nature, frequency and accuracy.
The article, published in CSUM2022 (https://csum.civ.uth.gr/), a model to estimate and analyze consumer preferences and satisfaction from public transportation services is developed. The approach is based on use of big data from multiple sources and allows to achieve continuous and precise estimation of consumer behavior.
Artificial intelligence algorithms can be used to automate and improve various processes in public transportation. By using a combination of data sources like positioning devices, ticketing and sales notifications and video surveillance can be obtained details on the load and utilization of transportation network segments. In this paper, published in CSUM2022 (https://csum.civ.uth.gr/), one such automation system that benefits from delay analysis and real-time processing of video streams is discussed.
Coupled Fixed Points for Hardy–Rogers Type of Maps and Their Applications in the Investigations of Market Equilibrium in Duopoly Markets for Non-Differentiable, Nonlinear Response Functions
In this paper, published in Multidisciplinary Digital Publishing Institute (https://www.mdpi.com/2073-8994/14/3/605/htm), is generalized Hardy–Rogers maps in the context of coupled fixed points. It is commented the symmetry of some of the coefficients involved in the Hardy–Rogers condition, and thus, deduced a simpler formula. It is generalized, with the help of the obtained main theorem, some known results about existence and uniqueness of market equilibrium in duopoly markets.
In this paper, published in published in Conference "Economic, Regional and Social Challenges in the Transition Towards a Green Economy" (https://storefisn.uni-plovdiv.bg/conf/en/15c42-web-agency-gb-home/), it is suggested a generic framework and IT architecture that can facilitate transition path to green public transportation network in an environment-friendly and economically sound way. The solutions developed in the paper are specific, measurable, achievable and time-bound.
A team at Faculty of Economics and Business Administration, Sofia University "St. Kliment Ohridski '' presented an algorithm for optimal trajectories of e-buses fulfiling on-demand requests for transportation in a smart city environment. The article is published in IFAC-PapersOnLine and may be accessed via the link - https://www.sciencedirect.com/science/article/pii/S2405896322011570
The approach demonstrates the possibility of solving a transportation task arising from the introduction of on demand public transportation in Sofia. Instead of solving the transportation problem once, when all transportation requests are registered, we solve the transportation problem at any virtual or public station during the taxi. This approach enables gathering transportation requests dynamically and also considers changes in the environment (e.g. weather conditions, roadblocks, traffic jams, etc) during the transportation. The algorithm is tested with real data.
The realisation of the publication is possible as a result of the pilot introduction of public transport on demand within the city of Sofia under the INNOAIR project financed under the Urban Innovative Actions program.
Within the "INNOAIR" project, a team of the Faculty of Economics and Business Administration, published a scientific article examining the approach to predict travel time for on-demand public transport. The authors Angel Marchev, Boyan Lomev and Kaloyan Haralampiev present four predictive models, each of which is tested with data from specific scenarios. The procedure for implementing the prediction model goes through three main phases: model identification, parameter estimation/optimization, and prediction with their respective subphases. Within their work, the researchers chose to use the following models to forecast the target data: Seasonal autoregressive moving average models with exogenous input with Fourier terms; Vector autoregression and vector error correction models; Bayesian Fourier model; Backpropagation neural network models. Root-mean-squared error, measured in seconds, calculated on the test set forecast (the last week of observations) is used to compare the proposed models.
The full text of the article may be accessed on the following link - https://www.sciencedirect.com/science/article/pii/S2405896322011569
A team of the Faculty of Economics and Business Administration published a scientific article examining the forecasting of air pollution by geolocation in Sofia
The authors Boryana Bogdanova, Angel Marchev, Vladimir Zakov, Denis Stefannov and Kiril Genov published a paper in IFAC-PapersOnLine presenting a general framework for analysis and forecasting of air pollution in the city of Sofia. For the purposes of their work, the authors use the air pollution indicator particulate matter - PM10, which is among the most frequently exceeded in the metropolitan city. Stepping on existing scientific publications and data provided by air quality stations of Sofia Municipality, Executive Agency Environment and the civil network airsofia.info they built a predictive model and introduced a methodological framework.
The published scientific work is realised within the INNOAIR project, whose main goal is to improve the air quality in Sofia, by introducing a combination of complex measures, including public transport on-demand, green corridors, congestion charges and low-emission zones.
The publication is available through the following link - https://www.sciencedirect.com/science/article/pii/S2405896322011612
At the heart of the initiative INNOAIR is the implementation of on-demand public transport which operates in accordance with consumer demand. How would this happen from a technological point of view? The route of the electric buses will be determined by the requests of the citizens submitted through a mobile application, a part of the On-demand Public Transportation Platform (ODPTP). How does the platform work? See its demo version HERE.
This podcast, hosted by Gereon Meyer (UIA expert) will give you an overview of the hackathon InnoAirChallenge: Making urban mobility smarter.
The hackathon is organized by Sofia Development Association and A1 Bulgaria and it was held online in the period 2-4 June 2021. 24 teams from 7 cities took part in a race for a cause. All participants worked online on the difficult task of developing and presenting projects that outline the vision of a future generation of transport services and connectivity that work for cleaner air in Sofia. Hear out their ideas!
The hackathon InnoAirChallenge: Making urban mobility smarter was the first of a number of hackathons and competitions that Sofia Development Association will organize within the INNOAIR project.
Artificial Intelligence: Can smarter transit prevent Sofia from car overkill? – INNOAIR podcast, hosted by Gereon Meyer (UIA Expert)
This podcast, hosted by Gereon Meyer (UIA expert), will give you an overview of the opportunities and challenges of using artificial intelligence (AI) in managing sustainable on-demand mobility solutions in Sofia. Learn more about the upcoming emission-free mini buses, how AI is helping this service and what challenges it brings. Hear out what the INNOAIR team is sharing with you!
Learn more about the measures that Sofia takes in order to improve the air quality in Sofia. Discover SofiaCoin – the app that rewards the users that move actively around the city and tracks their roads so that Sofia Municipality could renovate them with priority. Hear out about the idea behind its development, the opinion of Sofia Municipality representatives and most importantly – the opinion of its users. The podcast is hosted by Gereon Meyer (UIA expert).