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23 results for “sustainable mobility”
Dataset assoziated with the paper "Optimisation of mobility hub locations for a sustainable mobility system"
<p>This is supplementary data for the paper 'Optimisation of mobility hub locations for a sustainable mobility system'. The Excel file 'InputParameters' contains the parameters used as input for the bilevel optimization model. Note that it contains two sheets: one for the calibrated parameters in the utility function, and one for the mode-specific input parameters. The external cost data are based on the study by Bieler, C. & Sutter, D. (2019), whereas the cost parameters were derived from the websites of the local service providers.</p> <p>The result folder contains the result files of all the experiments discussed in the paper. Each subfolder corresponds to one test instance. The subfolders contain the information on the built mobility hubs (build_mobilityhubs.csv), the modal split information (wegcount.rating.csv for both absolute and proportional data), the number of transfers for each mode at each station (transfercount.csv), and also the full list of modes that each user group used in their travels (user_paths.csv). Note that the stations are given by ID, and the ID is taken from the GTFS data for Aachen.</p> <p>The additional experiments from Section 5.5 on the modal split for a higher number of bike- and car-sharing stations are contained in the "Further Maximization of Sharing Modes Test.zip." Each subfolder contains specific data for the test instances, while the Excel sheet modal_split_Percent.xlsx summarizes and visualizes the modal split data.</p> <p>Further result data can be provided upon request.</p> <p><a name="_CTVL00166b62df5ea8545b3990eea974b27cf8a"></a>Bieler, C., Sutter, D., 2019. Externe Kosten des Verkehrs in Deutschland: Straßen-, Schienen-, Luft- und Binnenschiffverkehr 2017.</p>
SmartUpLab- Co-Creation in sustainable mobility research - Systematic Reviews and Case Studies
<p>The current dataset presents the results of systematic reviews and case studies about co-creation tools best practice for sustainable mobility, carried out in the context of the research project SmartUpLab (funded by EFRE).</p>
Assessing Student Sustainable Learning Engagement in Mobile Learning through Social Cognitive Theory and Social Learning Theory
<p><span>Data collected and processed as part of the ODDEA (Overcoming Digital Divide Between Europe and Southeast Asia) EU research project (<em>Project ID: HORIZON MSCA-SE 101086381)</em>.</span><span> the data was collected as part of ODDEA WP2.</span></p>
Sustainable Mobility Plan at Area Science Park
<p>This dataset contains data related to the Sustainable Mobility Plan (in Italian: PSCL, Piano Spostamenti Casa Lavoro) of Area Science Park (<a href="http://www.areasciencepark.it">www.areasciencepark.it</a>). It includes information on the number of public transport users, the number of trips made, the percentage of trips made by public transport, the average distance travelled, the number of parking spaces available and the occupancy rate of parking spaces. The purpose of the dataset is to provide open access to the information on which planning is based, and to enable the assessment of the implementation of the plan and its impact on mobility.</p> <p>The main objective of the Sustainable Mobility Plan is to describe the current situation and the initiatives launched and planned for the structural and permanent reduction of the environmental impact resulting from systematic home-work mobility. The measures envisaged in the plan concern all the five axes of action suggested by the guidelines and aim at the promotion of agile work, the study of feasibility studies for initiatives in favor of public transport, carpooling, cycle mobility, as well as favoring the use of electric vehicles.</p> <p>Files available:</p> <ul> <li>Conference Paper: “A roadmap to sustainable mobility: harvesting the low-hanging fruits while investing to achieve net zero emissions” presented at IASP 2023 Conference (29/09/2022)</li> <li>PSCL 2021 (document and dashboard)</li> <li>Survey</li> <li>Map</li> </ul>
A collection of map-based applications created to communicate sustainable mobility topics
<h2>Source of the sample map-based applications</h2> <div> <table> <tbody> <tr> <td>ID</td> <td>Published year</td> <td>Link</td> </tr> <tr> <td>R1</td> <td>2021</td> <td>https://futuretransport-news.com/voi-launches-impact-dashboard-for-moresustainable-transport-choices/ </td> </tr> <tr> <td>R2</td> <td>2022</td> <td>https://trafficinfratech.com/ritm3-effective-solution-for-sustainable-traffic-management</td> </tr> <tr> <td>R3</td> <td>2022</td> <td>https://staex.io/smart-city-staex-regioit </td> </tr> <tr> <td>R4</td> <td>2022</td> <td>https://www.paircity.com/home </td> </tr> <tr> <td>R5</td> <td>2019</td> <td>https://www.geodan.com/knowledge-and-innovation/managing-urban-processesintelligently-with-the-amsterdam-smart-city-dashboard/</td> </tr> <tr> <td>R6</td> <td>2018</td> <td>https://www.greenappsandweb.com/en/android-en/rewarding-sustainable-mobilitysolutions/</td> </tr> <tr> <td>R7</td> <td>2021</td> <td>https://unhabitat.org/sites/default/files/2021/08/sump-guidelineseng.pdf </td> </tr> <tr> <td>R8</td> <td>2020</td> <td>https://kidsgogreen.eu/en/ </td> </tr> <tr> <td>R9</td> <td>2023</td> <td>https://datatopics.worldbank.org/sdgatlas/goal-9-industryinnovation-and-infrastructure/?lang=en</td> </tr> <tr> <td>R10</td> <td>2020</td> <td>https://www.edinburgh.gov.uk/downloads/file/29320/city-mobility-plan-2021-2030 </td> </tr> <tr> <td>R11</td> <td>2021</td> <td>https://plan4better.de/en/tutorials/isochrone/ </td> </tr> <tr> <td>R12</td> <td>2022</td> <td>https://www.eiturbanmobility.eu/wpcontent/uploads/2022/11/EIT-UrbanMobilityNext915−min−City144dpi.pdf </td> </tr> <tr> <td>R13</td> <td>2023</td> <td>https://www.nature.com/articles/s41598-023-32326-9 </td> </tr> <tr> <td>R14</td> <td>2022</td> <td>https://mobilitylab.hel.fi/app/uploads/2022/09/Digital-Twin-for-Mobilty.-Working-paper-version-9-September-2022.pdf </td> </tr> <tr> <td>R15</td> <td>2020</td> <td>https://xyzt.ai/2020/12/01/become-a-traffic-data-rockstar/ </td> </tr> <tr> <td>R16</td> <td>2022</td> <td>https://www.argaleo.com/en/oplossingen/fietsbeleid/ </td> </tr> </tbody> </table> </div> <div> </div>
Supplementary information for the paper: "Barriers and drivers to implement innovative business models towards sustainable urban mobility"
<p>The dataset presents excerpts from the interviews used as main source of empirical evidence in the coding process for the identification of barriers and solutions adopted by the companies in the paper: “Barriers and drivers to implement innovative business models towards sustainable urban mobility”.</p>
Annex - Unravelling the puzzle of the environmental sustainability of shared mobility: A systematic literature review.
<p>Annex from "Unravelling the puzzle of the environmental sustainability of shared mobility: A systematic literature review. ": Annex 1 has the search string used in the literature review. Annex 2 has the dataset of all the extracted information of the article: There are three worksheets, the worksheet "Annex 2" has the whole dataset with all the extracted data, "Annex 2.1" has the classification of the environmental impact categories and "Annex 3" the factor extraction.</p>
Szpilko, Budna Sustainable and smart mobility – research directions_UMO-202245BHS401414
<p><span>The data includes a list of publications from the Web of Science and SCOPUS databases considered in the bibliometric analysis. The database contains a total of 8,821 records - bibliographic descriptions of publications. The basic metadata of the publications used in the bibliometric analysis include: the title of the publication, abstract, and keywords</span></p>
Distributed Sensing with Low-cost Mobile Sensors towards a Sustainable IoT
<p>This zip file contains the dataset used to produce Figure 4 of "Distributed Sensing with Low-cost Mobile Sensors towards a Sustainable IoT".</p> <p>It contains two folders, the first for the stationary sensors and the second for the mobile sensors.</p>
Comparative Effects of Sustained Stretch and Mobilization With Movement in Patient With Tennis Elbow
ClinicalTrials.gov study NCT06674434. IPD Sharing: NO. Countries: 1. Publications: 8.
Comparative Effects of Instrumental Assisted Soft Tissue Mobilization and Sustained Stretching Among Hockey Players
ClinicalTrials.gov study NCT06761014. IPD Sharing: NO. Countries: 1. Publications: 8.
Effects of MWM Vs Sustained Mobilization on Knee Osteoarthritis
ClinicalTrials.gov study NCT07315464. IPD Sharing: NO. Countries: 1. Publications: 2.
Gong's Mobilization and Sustained Natural Apophyseal Glide in Office Workers With Cervical Spine Overload
ClinicalTrials.gov study NCT05021458. IPD Sharing: NO. Countries: 1. Publications: 4.
Use of Mobile Technology to Promote Sustained Lifestyle Changes to Prevent Type 2 Diabetes in India and the UK
ClinicalTrials.gov study NCT01570946. IPD Sharing: Not stated. Countries: 2. Publications: 8.
Evaluating Knowledge Mobilization Sustainability Approaches
ClinicalTrials.gov study NCT07242378. IPD Sharing: NO. Countries: 1. Publications: 12.
Sustained Neutral Apophyseal Glides Half Rotation Technique and Gong's Mobilizations in Cervicogenic Headache
ClinicalTrials.gov study NCT05434468. IPD Sharing: NO. Countries: 1. Publications: 2.
Promoting Sustainable and Active Mobility Among Employees and Students
ClinicalTrials.gov study NCT06493006. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Results of our experiment used in the HyperPool paper to published in NPJ Sustainable Mobility and Transport
<p>Data resutling from applying the HyperPool method in the ExMAS https://github.com/RafalKucharskiPK/ExMAS/tree/master/ExMAS/transitize used in the Hyper-Pool paper (in press)</p>
Design and Implementation of a Mobile App for Promoting Healthy and Sustainable Eating Among Students at the University of Parma (MAPHealthS)
ClinicalTrials.gov study NCT06977802. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
ADDITIVE BENEFITS of KALTENBORN SUSTAINED STRETCH JOINT MOBILIZATION with RESISTANCE EXERCISE TRAINING in KNEE OSTEOARTHRITIS
ClinicalTrials.gov study NCT06211387. IPD Sharing: Not stated. Countries: 1. Publications: 0.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.