Effectiveness of Urban Mobility Decarbonization Instruments
Abstract
:1. Introduction
2. Research Characteristics
2.1. Literature Review
2.2. Characteristics of Empirical Research on Mobility in Agglomeration Areas
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- How will urban mobility models change in the future? This question was verified based on the study of the behavior of the creative class.
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- How can shock situations such as the COVID-19 pandemic affect mobility behavior and future mobility patterns?
2.3. Electromobility Research
3. Application to Case Studies on Urban Mobility
3.1. Mobility of the Creative Class
3.2. Mobility under Conditions of Movement Restrictions
3.3. Mobility Using Electromobility
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- implementation of appropriate selection of routes for electric buses, so that the current timetable can be efficiently implemented, which should be a reference point for all solved problems; achieving satisfactory results from the point of view of the passenger, public transport organizer and operators requires resolutions on issues related to
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- the structure of the bus fleet in terms of the type of drive, including the share of buses with diesel drive, battery drive, or a fleet consisting only of electric buses,
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- maintaining the existing network of routes and bus lines and the timetable or making changes resulting from the structure of the bus fleet;
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- determination of the optimal location of battery charging devices, assuming the implementation of the given operational plan, i.e., the network of routes and bus lines and the timetable, as well as taking into account the battery discharge process as a function of the following factors:
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- driving time,
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- ascents and descents of bus routes,
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- driving conditions, including, i.e., the number of stops and starts caused by congestion or traffic lights,
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- energy demand of on-board equipment, in particular heating and air conditioning systems;
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- development of an optimal strategy for supplying buses with energy on the route, which requires resolving issues regarding battery charging or battery replacement.
4. Key Research Findings
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- Public transport is treated as the second choice for meeting mobility needs after the passenger car. This primary importance of a passenger car is confirmed by the results of research in which respondents largely do not accept the restrictive instruments of transport policy, especially the parking policy.
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- The main advantage of the passenger car in the examined agglomerations is the shorter travel time. Public transport still offers less accessibility and longer door-to-door travel times. This situation is aggravated by the extension of travel distances caused by deglomeration and the urban sprawl process, as well as low unemployment, which are associated with an increase in the scope of the labor market, thus extending the distance to the workplace.
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- The basic factors for increasing the competitiveness and efficiency of collective transport as a decarbonization tool, apart from ticket price reductions, are higher frequency of departures, expansion of the network of connections and stops—that is, above all, availability in time and space.
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- Restrictive measures of the transport policy limiting the use of a passenger car are accepted provided that restrictive measures are combined with incentive measures that shorten the travel time by public transport, increase the spatial accessibility of stops, increase the directness of connections, support the development of zero-emission delivery systems for collective transport, and, finally, reduce ticket prices for collective transport.
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- Bicycles and means of personal transport are rated well by the respondents, but they are used mainly for recreational trips and to a lesser extent for everyday mobility. The condition for an increase in the share of bicycles in the mobility service in urban agglomeration areas is the improvement of infrastructure and facilitations in terms of parking bicycles and preparing commuters to work in this way. Much less is known about scooters, which seem to be used more for transport than recreationally.
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- The great potential for decarbonization results from limiting physical mobility and replacing it with cybermobility. The period of the COVID-19 pandemic showed great opportunities in such activities. For example, in the city of Katowice, during the greatest lockdown restrictions, the volume of car traffic decreased by 1/3. The introduction of remote work and learning, as well as the hybrid model, reduces physical mobility, and thus reduces greenhouse gas emissions. It should be remembered that cybermobility also causes such emissions, but on a much smaller scale. The latest research of office workers conducted in 2022 by CISCO covering 27 countries and 28,000 employees [45] shows a sustained increase in expectations regarding the maintenance of remote work, and it seems that such expectations will increase. In addition, preliminary (pilot) studies [46] in Upper Silesian and Zagłębie Metropolis (GZM) indicate that synergistic factors in planning cybermobility are the results of research on objective and subjective personal factors of people related to a specific activity, especially in terms of the attitude of these people to the virtualization of a specific activity, e.g., to introduce remote work and hybrid work along with flexible working hours and to assess the susceptibility of professional duties to remote work using modern ITC technologies (Information and Communication Technologies).
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- The calculation of the costs of electromobility in the case of city buses shows that this solution is effective only under certain conditions: changes in the energy mix, organization of transport ensuring the use of the potential of the electric bus on routes with an appropriate longitudinal profile, appropriate charging network. In addition, the type and size of the batteries used in connection with the organization of service by vehicles have an impact on the efficiency; in particular, it is about limiting or eliminating the replacement of batteries during the life cycle of a bus and a passenger car.
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- One of the negative effects of the pandemic was the deterioration of the competitive position of urban collective transport. In the city of Katowice, which is the center of the urban agglomeration, the share of public transport in handling mobility during the pandemic decreased by as much as nine percentage points in favor of the passenger car, as well as pedestrian movements. According to data from public transport organizers, the share of this system in modal split is currently returning to pre-pandemic levels, which is the result of economic recovery, as well as probably also due to a large number of people arriving to Poland from Ukraine as a result of the war that is taking place there.
5. Discussion
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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The Scope of Data | Daily Distance [km] | Average Trip Distance [km] | Average Daily Distance [km] |
---|---|---|---|
Generally | 12,109 | 11.60 | 26.91 |
Warsaw | 3345 | 9.53 | 22.30 |
Tri-City | 3711 | 11.38 | 24.74 |
GZM Metropolis | 5033 | 13.77 | 33.69 |
Katowice City District | Śródmieście | Os. Paderewskiego—Muchowiec | Koszutka | Bogucice | Załęże |
---|---|---|---|---|---|
1st half of 2019 | 9787 | 6624 | 5071 | 5627 | 5379 |
1st half of 2020 | 6625 | 4614 | 3728 | 4716 | 4432 |
Changes | −32.3% | −30.3% | −26.5% | −16.2% | −17.6% |
Katowice city district | Os. Witosa | Osiedle Tysiąclecia | Dąb | Wełnowiec-Józefowiec | Załęska Hałda—Brynów |
1st half of 2019 | 5784 | 7486 | 4398 | 7190 | 6279 |
1st half of 2020 | 4114 | 6290 | 3264 | 4485 | 4365 |
Changes | −28.9% | −16.0% | −25.8% | −37.6% | −30.5% |
Katowice city district | Brynów—Osiedle Zgrzebnioka | Ligota—Panewniki | Zawodzie | Dąbrówka Mała | Szopienice—Burowiec |
1st half of 2019 | 4752 | 9196 | 5059 | 4688 | 5949 |
1st half of 2020 | 3256 | 7130 | 4156 | 2724 | 4415 |
Changes | −31.5% | −22.5% | −17.8% | −41.9% | −25.8% |
Katowice city district | Janów—Nikiszowiec | Giszowiec | Murcki | Piotrowice—Ochojec | Zarzecze |
1st half of 2019 | 5037 | 6357 | 3898 | 7414 | 4013 |
1st half of 2020 | 3431 | 4788 | 2858 | 6175 | 2583 |
Changes | −31.9% | −24.7% | −26.7% | −16.7% | −35.6% |
Katowice city district | Kostuchna | Podlesie | Totally (Sum) | ||
1st half of 2019 | 5747 | 4403 | 130138 | ||
1st half of 2020 | 3958 | 3125 | 95232 | ||
Changes | −31.1% | −29.0% | −26.8% |
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Karoń, G.; Tomanek, R. Effectiveness of Urban Mobility Decarbonization Instruments. Energies 2023, 16, 1833. https://doi.org/10.3390/en16041833
Karoń G, Tomanek R. Effectiveness of Urban Mobility Decarbonization Instruments. Energies. 2023; 16(4):1833. https://doi.org/10.3390/en16041833
Chicago/Turabian StyleKaroń, Grzegorz, and Robert Tomanek. 2023. "Effectiveness of Urban Mobility Decarbonization Instruments" Energies 16, no. 4: 1833. https://doi.org/10.3390/en16041833