Virtanen, E. A.; Lappalainen, J.; Nurmi, M.; Viitasalo, M; +6 AuthorsVirtanen, E. A.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesVirtanen, E. A. in OpenAIRE Virtanen, E. A.; Lappalainen, J.; Nurmi, M.; Viitasalo, M; Tikanm��ki, M; Heinonen, J.; Atlaskin, E; Kallasvuo, M.; Tikkanen, H.; Moilanen, A.;Virtanen, E. A.
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesVirtanen, E. A. in OpenAIREDataset related to the article: Virtanen, E.A., Lappalainen, J., Nurmi, M., Viitasalo, M., Tikanmäki, M., Heinonen, J., Atlaskin, E., Kallasvuo, M., Tikkanen, H., Moilanen, A. (2022) Balancing profitability of energy production, societal impacts and biodiversity in offshore wind farm design. Renewable and Sustainable Energy Reviews 158, 112087. Dataset includes suitability maps for offshore windfarms, where priority values are scaled between 0-1 (note the reversed value scale): analysis solution (A) economy, (B) society, (C) biodiversity, (D) restrictions, (E) A+B+C without restrictions and (F) A+B+C with restrictions. Dataset includes also the conflict map (and R script), where each three main solutions (A, B, C) are mapped onto an RGB color composite map. Additional details can be found from the published article: https://doi.org/10.1016/j.rser.2022.112087
0 citations 0 popularity Average influence Average impulse Average 
Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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Mehdi Jahangir Samet; Mehdi Jahangir Samet
Harvested from ORCID Public Data FileMehdi Jahangir Samet in OpenAIRE Heikki Liimatainen; Heikki Liimatainen
Harvested from ORCID Public Data FileHeikki Liimatainen in OpenAIRE Oscar Patrick René van Vliet; Oscar Patrick René van Vliet
Harvested from ORCID Public Data FileOscar Patrick René van Vliet in OpenAIRE Markus Pöllänen; Markus Pöllänen
Harvested from ORCID Public Data FileMarkus Pöllänen in OpenAIREMedium and heavy-duty battery electric trucks (BETs) may play a key role in mitigating greenhouse gas (GHG) emissions from road freight transport. However, technological challenges such as limited range and cargo carrying capacity as well as the required charging time need to be efficiently addressed before the large-scale adoption of BETs. In this study, we apply a geospatial data analysis approach by using a battery electric vehicle potential (BEVPO) model with the datasets of road freight transport surveys for analyzing the potential of large-scale BET adoption in Finland and Switzerland for trucks with gross vehicle weight (GVW) of over 3.5 t. Our results show that trucks with payload capacities up to 30 t have the most potential for electrification by relying on the currently available battery and plug-in charging technology, with 93% (55% tkm) and 89% (84% tkm) trip coverage in Finland and Switzerland, respectively. Electric road systems (ERSs) would be essential for covering 51% trips (41% tkm) of heavy-duty trucks heavier than 30 t in Finland. Furthermore, range-extender technology could improve the trip electrification potential by 3–10 percentage points (4–12 percentage points of tkm).
Access RoutesGreen gold 22 citations 22 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/en14040823&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu- Access Routes
Green gold 8 citations 8 popularity Average influence Average impulse Average Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/systems3030081&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Thorsten B. H. Reusch;
Thorsten B. H. Reusch
Harvested from ORCID Public Data FileThorsten B. H. Reusch in OpenAIRE Jan Dierking; Helen C. Andersson;Jan Dierking
Harvested from ORCID Public Data FileJan Dierking in OpenAIRE Erik Bonsdorff; +23 AuthorsErik Bonsdorff
Harvested from ORCID Public Data FileErik Bonsdorff in OpenAIRE Thorsten B. H. Reusch; Thorsten B. H. Reusch
Harvested from ORCID Public Data FileThorsten B. H. Reusch in OpenAIRE Jan Dierking; Helen C. Andersson;Jan Dierking
Harvested from ORCID Public Data FileJan Dierking in OpenAIRE Erik Bonsdorff; Erik Bonsdorff
Harvested from ORCID Public Data FileErik Bonsdorff in OpenAIRE Jacob Carstensen; Jacob Carstensen
Harvested from ORCID Public Data FileJacob Carstensen in OpenAIRE Michele Casini; Michele Casini
Harvested from ORCID Public Data FileMichele Casini in OpenAIRE Mikolaj Czajkowski; Mikolaj Czajkowski
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesMikolaj Czajkowski in OpenAIRE Berit Hasler; Berit Hasler
Harvested from ORCID Public Data FileBerit Hasler in OpenAIRE Klaus Hinsby; Klaus Hinsby
Harvested from ORCID Public Data FileKlaus Hinsby in OpenAIRE Kari Hyytiäinen; Kari Hyytiäinen
Harvested from ORCID Public Data FileKari Hyytiäinen in OpenAIRE Kerstin Johannesson; Kerstin Johannesson
Harvested from ORCID Public Data FileKerstin Johannesson in OpenAIRE Seifeddine Jomaa; Seifeddine Jomaa
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesSeifeddine Jomaa in OpenAIRE Veijo Jormalainen; Veijo Jormalainen
Harvested from ORCID Public Data FileVeijo Jormalainen in OpenAIRE Harri Kuosa; Harri Kuosa
Harvested from ORCID Public Data FileHarri Kuosa in OpenAIRE Sara Kurland; Linda Laikre;Sara Kurland
Harvested from ORCID Public Data FileSara Kurland in OpenAIRE Brian R. MacKenzie; Brian R. MacKenzie
Harvested from ORCID Public Data FileBrian R. MacKenzie in OpenAIRE Piotr Margonski; Piotr Margonski
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesPiotr Margonski in OpenAIRE Frank Melzner; Frank Melzner
Harvested from ORCID Public Data FileFrank Melzner in OpenAIRE Daniel Oesterwind; Daniel Oesterwind
Harvested from ORCID Public Data FileDaniel Oesterwind in OpenAIRE Henn Ojaveer; Henn Ojaveer
Harvested from ORCID Public Data FileHenn Ojaveer in OpenAIRE Jens Christian Refsgaard; Annica Sandström;Jens Christian Refsgaard
Harvested from ORCID Public Data FileJens Christian Refsgaard in OpenAIRE Gerald Schwarz; Gerald Schwarz
Harvested from ORCID Public Data FileGerald Schwarz in OpenAIRE Karin Tonderski; Monika Winder;Karin Tonderski
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesKarin Tonderski in OpenAIRE Marianne Zandersen; Marianne Zandersen
Harvested from ORCID Public Data FileMarianne Zandersen in OpenAIREScience-based, multinational management of the Baltic Sea offers lessons on amelioration of highly disturbed marine ecosystems.
Access RoutesGreen gold 359 citations 359 popularity Top 0.1% influence Top 1% impulse Top 0.1% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1126/sciadv.aar8195&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - Lajunen, Antti; Baldi, Francesco;
Lajunen, Antti
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesLajunen, Antti in OpenAIRE Vepsäläinen, Jari; Tammi; +2 AuthorsVepsäläinen, Jari
Harvested from ORCID Public Data FileVepsäläinen, Jari in OpenAIRE Lajunen, Antti; Baldi, Francesco;Lajunen, Antti
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesLajunen, Antti in OpenAIRE Vepsäläinen, Jari; Tammi; Kari;Vepsäläinen, Jari
Harvested from ORCID Public Data FileVepsäläinen, Jari in OpenAIRE Kivekäs, Klaus; Kivekäs, Klaus
Harvested from ORCID Public Data FileKivekäs, Klaus in OpenAIRETransportation electrification is increasing and recently more focus has been directed on heavy vehicles and especially on city buses. Battery electric buses are inherently more energy efficient than diesel buses and the efficiency can be further increased by different methods. This paper evaluates the energy consumption reductions that are achievable with an aluminum chassis, low-drag body, low-rolling-resistance class C tires, heat pump, and predictive driving. A simulation model of a generic electric bus was developed in the Simulink software. Simulations were carried out on various types of driving cycles in cold (−10 °C) and warm conditions (20 °C). A novel nonlinear model predictive control problem formulation was created for minimizing the energy consumption of an electric bus. Using a heat pump instead of an electric heater provided the highest energy savings in the cold conditions with an average consumption reduction of 12.7%. The results indicated that a heat pump is particularly effective on low-speed bus routes. However, the class C tires and aluminum chassis provided higher energy savings than the heat pump in the warm conditions. The low-rolling-resistance tires achieved the most robust energy savings. The aluminum chassis reduced the energy consumption more than the class C tires, but the benefit of the lighter chassis was shown to also correlate strongly with the aggressiveness of the driving. The results showed that a low-drag body is a potential method for consumption reduction on high-speed bus routes. Predictive driving was found to reduce the average consumption by 9.5% at −10 °C when using 10-second prediction and control horizons.
Access RoutesGreen bronze 21 citations 21 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/tvt.2019.2936772&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=base_search_::566f22d0e1844522fc2dfe03331ae696&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu- Wei WEI; Danman WU; Qiuwei WU; Miadreza SHAFIE-KHAH; João P. S. CATALÃO;
João P. S. CATALÃO
Harvested from ORCID Public Data FileJoão P. S. CATALÃO in OpenAIREThe rapidly increasing penetration of electric vehicles in modern metropolises has been witnessed during the past decade, inspired by financial subsidies as well as public awareness of climate change and environment protection. Integrating charging facilities, especially high-power chargers in fast charging stations, into power distribution systems remarkably alters the traditional load flow pattern, and thus imposes great challenges on the operation of distribution network in which controllable resources are rare. On the other hand, provided with appropriate incentives, the energy storage capability of electric vehicle offers a unique opportunity to facilitate the integration of distributed wind and solar power generation into power distribution system. The above trends call for thorough investigation and research on the interdependence between transportation system and power distribution system. This paper conducts a comprehensive survey on this line of research. The basic models of transportation system and power distribution system are introduced, especially the user equilibrium model, which describes the vehicular flow on each road segment and is not familiar to the readers in power system community. The modelling of interdependence across the two systems is highlighted. Taking into account such interdependence, applications ranging from long-term planning to short-term operation are reviewed with emphasis on comparing the description of traffic-power interdependence. Finally, an outlook of prospective directions and key technologies in future research is summarized.
Access RoutesGreen gold 104 citations 104 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s40565-019-0516-7&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - NSF| EAPSI: Effects of Ocean Acidification and Eutrophication on the Green Macroalgae Ulva sppFanny Noisette; Fanny Noisette; Janet E. Kübler; Pablo P. Leal; +6 Authors
Pablo P. Leal
Harvested from ORCID Public Data FilePablo P. Leal in OpenAIREFanny Noisette; Fanny Noisette; Janet E. Kübler; Pablo P. Leal; Pablo P. Leal
Harvested from ORCID Public Data FilePablo P. Leal in OpenAIRE Leah B. Reidenbach; Leah B. Reidenbach
Derived by OpenAIRE algorithms or harvested from 3rd party repositoriesLeah B. Reidenbach in OpenAIRE Catriona L. Hurd; Catriona L. Hurd
Harvested from ORCID Public Data FileCatriona L. Hurd in OpenAIRE Christina M. McGraw; Christina M. McGraw; Pamela A. Fernández;Christina M. McGraw
Harvested from ORCID Public Data FileChristina M. McGraw in OpenAIRE Andrew T. Revill; Andrew T. Revill
Harvested from ORCID Public Data FileAndrew T. Revill in OpenAIREThe responses of macroalgae to ocean acidification could be altered by availability of macronutrients, such as ammonium (NH4+). This study determined how the opportunistic macroalga, Ulva australis responded to simultaneous changes in decreasing pH and NH4+ enrichment. This was investigated in a week-long growth experiment across a range of predicted future pHs with ambient and enriched NH4+ treatments followed by measurements of relative growth rates (RGR), NH4+ uptake rates and pools, total chlorophyll, and tissue carbon and nitrogen content. Rapid light curves (RLCs) were used to measure the maximum relative electron transport rate (rETRmax) and maximum quantum yield of photosystem II (PSII) photochemistry (Fv/Fm). Photosynthetic capacity was derived from the RLCs and included the efficiency of light harvesting (α), slope of photoinhibition (β), and the light saturation point (Ek). The results showed that NH4+ enrichment did not modify the effects of pH on RGRs, NH4+ uptake rates and pools, total chlorophyll, rETRmax, α, β, Fv/Fm, tissue C and N, and the C:N ratio. However, Ek was differentially affected by pH under different NH4+ treatments. Ek increased with decreasing pH in the ambient NH4+ treatment, but not in the enriched NH4+ treatment. NH4+ enrichment increased RGRs, NH4+ pools, total chlorophyll, rETRmax, α, β, Fv/Fm, and tissue N, and decreased NH4+ uptake rates and the C:N ratio. Decreased pH increased total chlorophyll content, rETRmax, Fv/Fm, and tissue N content, and decreased the C:N ratio. Therefore, the results indicate that U. australis growth is increased with NH4+ enrichment and not with decreasing pH. While decreasing pH influenced the carbon and nitrogen metabolisms of U. australis, it did not result in changes in growth.
Access RoutesGreen gold 31 citations 31 popularity Top 10% influence Average impulse Top 10% Powered by BIP!add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1371/journal.pone.0188389&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - RCN| Ocean-ice shelf Interaction and channelized Melting in Dronning Maud Land ,[no funder available] ,NSF| RAPID: Ocean Forcing for Ice Sheet Models for the IPCC Sixth Assessment Report ,NWO| Quality assured industrial scale production of eave tube inserts for malaria control in Africa ,AKA| Simulating Antarctic marine ice sheet stability and multi-century contributions to sea level rise ,AKA| The impact of Antarctic Ice Sheet - Southern Ocean interactions on marine ice sheet stability and ocean circulation/ Consortium: COLD ,ARC| Special Research Initiative (Antarctic) - Grant ID: SR140300001 ,ANR| TROIS-AS ,NSF| NSF-NERC: PROcesses, drivers, Predictions: Modeling the response of Thwaites Glacier over the next Century using Ice/Ocean Coupled Models (PROPHET) ,NSF| The Management and Operation of the National Center for Atmoshperic Research (NCAR) ,NWO| Perturbations of System Earth: Reading the Past to Project the Future - A proposal to create the Netherlands Earth System Science Centre (ESSC) ,RCN| The role of the atmospheric energy transport in recent Arctic climate change ,EC| TiPACCs H. Seroussi; S. Nowicki;
H. Seroussi
Harvested from ORCID Public Data FileH. Seroussi in OpenAIRE A. J. Payne; A. J. Payne
Harvested from ORCID Public Data FileA. J. Payne in OpenAIRE H. Goelzer; +50 AuthorsH. Goelzer
Harvested from ORCID Public Data FileH. Goelzer in OpenAIRE H. Seroussi; S. Nowicki;H. Seroussi
Harvested from ORCID Public Data FileH. Seroussi in OpenAIRE A. J. Payne; A. J. Payne
Harvested from ORCID Public Data FileA. J. Payne in OpenAIRE H. Goelzer; H. Goelzer;H. Goelzer
Harvested from ORCID Public Data FileH. Goelzer in OpenAIRE W. H. Lipscomb; A. Abe-Ouchi;W. H. Lipscomb
Harvested from ORCID Public Data FileW. H. Lipscomb in OpenAIRE C. Agosta; T. Albrecht; T. Albrecht
Harvested from ORCID Public Data FileT. Albrecht in OpenAIRE X. Asay-Davis; X. Asay-Davis
Harvested from ORCID Public Data FileX. Asay-Davis in OpenAIRE A. Barthel; R. Calov; R. Cullather; C. Dumas; B. K. Galton-Fenzi; R. Gladstone;A. Barthel
Harvested from ORCID Public Data FileA. Barthel in OpenAIRE N. R. Golledge; N. R. Golledge
Harvested from ORCID Public Data FileN. R. Golledge in OpenAIRE J. M. Gregory; J. M. Gregory;J. M. Gregory
Harvested from ORCID Public Data FileJ. M. Gregory in OpenAIRE R. Greve; R. Greve; T. Hattermann; T. Hattermann; M. J. Hoffman; A. Humbert; A. Humbert;A. Humbert
Harvested from ORCID Public Data FileA. Humbert in OpenAIRE P. Huybrechts; N. C. Jourdain; T. Kleiner;P. Huybrechts
Harvested from ORCID Public Data FileP. Huybrechts in OpenAIRE E. Larour; G. R. Leguy; D. P. Lowry; C. M. Little; M. Morlighem; F. Pattyn; T. Pelle; S. F. Price; A. Quiquet; R. Reese; N.-J. Schlegel; A. Shepherd; E. Simon; R. S. Smith;S. F. Price
Harvested from ORCID Public Data FileS. F. Price in OpenAIRE F. Straneo; F. Straneo
Harvested from ORCID Public Data FileF. Straneo in OpenAIRE S. Sun; L. D. Trusel; J. Van Breedam; R. S. W. van de Wal; R. S. W. van de Wal; R. Winkelmann; R. Winkelmann;J. Van Breedam
Harvested from ORCID Public Data FileJ. Van Breedam in OpenAIRE C. Zhao; T. Zhang; T. Zwinger; T. Zwinger
Harvested from ORCID Public Data FileT. Zwinger in OpenAIREAbstract. Ice flow models of the Antarctic ice sheet are commonly used to simulate its future evolution in response to different climate scenarios and assess the mass loss that would contribute to future sea level rise. However, there is currently no consensus on estimates of the future mass balance of the ice sheet, primarily because of differences in the representation of physical processes, forcings employed and initial states of ice sheet models. This study presents results from ice flow model simulations from 13 international groups focusing on the evolution of the Antarctic ice sheet during the period 2015–2100 as part of the Ice Sheet Model Intercomparison for CMIP6 (ISMIP6). They are forced with outputs from a subset of models from the Coupled Model Intercomparison Project Phase 5 (CMIP5), representative of the spread in climate model results. Simulations of the Antarctic ice sheet contribution to sea level rise in response to increased warming during this period varies between −7.8 and 30.0 cm of sea level equivalent (SLE) under Representative Concentration Pathway (RCP) 8.5 scenario forcing. These numbers are relative to a control experiment with constant climate conditions and should therefore be added to the mass loss contribution under climate conditions similar to present-day conditions over the same period. The simulated evolution of the West Antarctic ice sheet varies widely among models, with an overall mass loss, up to 18.0 cm SLE, in response to changes in oceanic conditions. East Antarctica mass change varies between −6.1 and 8.3 cm SLE in the simulations, with a significant increase in surface mass balance outweighing the increased ice discharge under most RCP 8.5 scenario forcings. The inclusion of ice shelf collapse, here assumed to be caused by large amounts of liquid water ponding at the surface of ice shelves, yields an additional simulated mass loss of 28 mm compared to simulations without ice shelf collapse. The largest sources of uncertainty come from the climate forcing, the ocean-induced melt rates, the calibration of these melt rates based on oceanic conditions taken outside of ice shelf cavities and the ice sheet dynamic response to these oceanic changes. Results under RCP 2.6 scenario based on two CMIP5 climate models show an additional mass loss of 0 and 3 cm of SLE on average compared to simulations done under present-day conditions for the two CMIP5 forcings used and display limited mass gain in East Antarctica.
Access RoutesGreen gold add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/tc-14-3033-2020&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu - NSF| CyberSEES: Type 2: Data Integration for Urban Metabolism ,NSF| CAREER: Understanding the Fundamental Principles Driving Household Energy and Resource Consumption for Smart, Sustainable, and Resilient Communities Nasir Ahmad;
Nasir Ahmad
Harvested from ORCID Public Data FileNasir Ahmad in OpenAIRE Sybil Derrible; Heriberto Cabezas;Sybil Derrible
Harvested from ORCID Public Data FileSybil Derrible in OpenAIREPublic transportation systems (PTS) are large and complex systems that consist of many modes operated by different agencies to service entire regions. Assessing their performance can therefore be difficult. In this work, we use concepts of Fisher information (FI) to analyse the stability in the performance of PTS in the 372 US urbanized areas (UZA) reported by the National Transit Database. The key advantage of FI is its ability to handle multiple variables simultaneously to provide information about overall trends of a system. It can therefore detect whether a system is stable or heading towards instability, and whether any regime shifts have occurred or are approaching. A regime shift is a fundamental change in the dynamics of the system, e.g. major and lasting change in service. Here, we first provide a brief background on FI and then compute and analyse FI for all US PTS using monthly data from 2002 to 2016; datasets include unlinked passenger trips (i.e. demand) and vehicle revenue miles (i.e. supply). We detect eight different patterns from the results. We find that most PTS are seeking stability, although some PTS have gone through regime shifts. We also observe that several PTS have consistently decreasing FI results, which is a cause for concern. FI results with detailed explanations are provided for eight major UZA.
Access RoutesGreen gold add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.<script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1098/rsos.160920&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu
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