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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    This study assessed the community structure of reef fishes in small, community-based fish sanctuary in Barangay Carenahan, Balayan, Batangas, in terms of abundance, density, species diversity and evenness, biomass and potential yield to determine the status of the sanctuary three years after its establishment. Results of the study were compared with previous studies done in the area to discern changes in the community that may suggest success or failure of the management strategies and actions applied in the area. Two other sites with potential for protection were likewise assessed using the same parameters used in Barangay Carenahan. One is located in NPC jetty and was previously reported to have high potential to be set as a reserve. The other one is being proposed by the locals as a marine reserve in Barangay Palicpican. Underwater fish visual census was done in three transect sites in the Carenahan sanctuary, two transect sites in NPC jetty and one transect site in Barangay Palicpican using scuba. Result of the survey in the Carenahan sanctuary yielded a total of 930 individuals, 70 reef fish species belonging to 24 reef fish families. For Palicpican and NPC jetty, a total of 163 individuals belonging to 22 species and 13 families and 856 individuals belonging to 76 species and 24 families, respectively were recorded. The biomass estimates of fish species in Carenahan, Palicpican and NPC jetty were 18.7, 67.5 and 22.6 g/m2, respectively. Among the three sites, Palicpican had the highest potential yield value of 0.10 tons/km2/year while Carenahan and NPC jetty both had 0.03 tons/km2/year potential yield value. Of the three reef fish categories, target fish species had biomass estimates of 12 g/m2 representing 47 percent of the total average biomass of fish in the three sites. Shannon-Wiener Diversity index value for the Carenahan sanctuary and NPC jetty was 1.4 while palicpican had only 0.95 which indicates high diversity in the two sites. This study observed an increase in species diversity, density and biomass for all three reef fish categories for all sites vis-avis NPC study conducted by Hilomen et al,. (2003). The reef fish assemblage in Carenahan sanctuary has improved after three years under official protection. The information generated in this study will form a baseline for the future from which to analyze the impact of the establishment of the fish sanctuary and marine reserve in the community.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Report . 2006
    Data sources: Datacite
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Report . 2006
    Data sources: Datacite
    ZENODO
    Report . 2006
    Data sources: ZENODO
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Report . 2006
      Data sources: Datacite
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      ZENODO
      Report . 2006
      Data sources: Datacite
      ZENODO
      Report . 2006
      Data sources: ZENODO
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    This paper is trying review different techniques us ed for self healing of the smart grid network. A smart grid has taken a very high importance in th e last ten years or so. Then the advancement in smart grid has taken a major importance. One of the most important aspects in the field of smart grid is a self healing of fault,and this att racted the researchers. As described in many research papers,one of the main requirements of th e electrical grid is to maintain zero gap between generation and distribution [2,3,4]. Howe ver deregulation and decentralized generation has given with the information and communication te chnology (ICT). This paper will summarize latest available techniques for self healing smart grids. https://www.ijiert.org/paper-details?paper_id=140359

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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    ZENODO
    Article . 2015
    License: CC BY
    Data sources: ZENODO
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    ZENODO
    Article . 2015
    License: CC BY
    Data sources: Datacite
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    ZENODO
    Article . 2015
    License: CC BY
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Article . 2015
      License: CC BY
      Data sources: ZENODO
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Article . 2015
      License: CC BY
      Data sources: Datacite
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      ZENODO
      Article . 2015
      License: CC BY
      Data sources: Datacite
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    SONNET (Social Innovation in Energy Transitions) aims to co-create a rich understanding of the diversity, processes, contributions, successes and future potentials of social innovation in the energy sector (SIE). The deliverable presents: a SIE governance typology illustrating the diversity of governance arrangements used by city administrations to facilitate and support SIE; and four propositions enhancing the understanding of SIE governance emergence and institutionalisation.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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    ZENODO
    Project deliverable . 2020
    License: CC BY
    Data sources: Datacite
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    ZENODO
    Other literature type . 2020
    License: CC BY
    Data sources: ZENODO
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    ZENODO
    Project deliverable . 2020
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    Data sources: Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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      ZENODO
      Project deliverable . 2020
      License: CC BY
      Data sources: Datacite
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Other literature type . 2020
      License: CC BY
      Data sources: ZENODO
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Project deliverable . 2020
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      Data sources: Datacite
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    Authors: orcid bw Cervantes Barron, Karla;
    Cervantes Barron, Karla
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    Cervantes Barron, Karla in OpenAIRE
    orcid bw Cullen, Jonathan M;
    Cullen, Jonathan M
    ORCID
    Derived by OpenAIRE algorithms or harvested from 3rd party repositories

    Cullen, Jonathan M in OpenAIRE
    Assicot, Christophe; Keomanivong, Angkhanhack; +8 Authors

    This report explores material and energy efficiency in industry in Lao PDR. The current state of play is identified, highlighting actions that industries can take to increase their resource efficiency. This report is a collaboration between the Climate Compatible Growth (CCG) Programme and the Global Green Growth Institute (GGGI).

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Apolloarrow_drop_down
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    ZENODO
    Report . 2022
    License: CC BY
    Data sources: Datacite
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    ZENODO
    Report . 2022
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    Data sources: ZENODO
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    ZENODO
    Report . 2022
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    Data sources: Datacite
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    ZENODO
    Report . 2022
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    Data sources: Datacite
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    ZENODO
    Report . 2022
    License: CC BY
    Data sources: Datacite
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    Apollo
    Report . 2022
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      Report . 2022
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      Report . 2022
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      Report . 2022
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      Report . 2022
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    In light of the escalating economic influence of Small and Medium-sized Enterprises (SMEs), the intricate interplay of sustainability, innovation, and export performance assumes paramount significance. This study focuses on French SMEs in the Auvergne-Rhône-Alpes (ARA) region, exploring the relatively uncharted territory of a synergistic approach to sustainability and innovation. Through a 2022-2023 field survey of 290 SMEs, employing Ordinary Least Squares (OLS) and Two-Stage Least Squares (2SLS) regression models, the research investigates the potential enhancement of export performance through this synergistic approach. The study reveals a positive impact, emphasizing the significance of sustainability certifications (EUR 24,416 additional export turnover per certification), R&D investment (EUR 1.38 boost per euro invested), and environmental patents (EUR 64,439 per patent). Qualitative insights enrich the understanding of challenges and opportunities, especially in terms of environmental footprint reduction. The findings underscore the need for prioritizing sustainability and innovation by French SMEs to thrive in export markets, with implications for policymakers in designing initiatives. In conclusion, this research offers a comprehensive framework for understanding the dynamics between sustainability, innovation, and export performance, providing practical guidance for SMEs and a methodological foundation for future regional research.

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    Article . 2023
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    Data sources: Datacite
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    Article . 2023
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    Article . 2023
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    ZENODO
    Article . 2023
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    {"references": ["C.-S. Chen, T.-T. Ku, and C.-H. Lin, \"Design of phase identification\nsystem to support three-phase loading balance of distribution feeders,\"\nIEEE Transactions on Industry Applications, vol. 48, no. 1, pp. 191\u2013198,\n2012.", "K. J. Caird, \"Meter phase identification,\" Mar. 27 2012, uS Patent\n8,143,879.", "M. H. Wen, R. Arghandeh, A. von Meier, K. Poolla, and V. O. Li, \"Phase\nidentification in distribution networks with micro-synchrophasors,\" in\n2015 IEEE Power & Energy Society General Meeting. IEEE, 2015,\npp. 1\u20135.", "M. Dilek, R. P. Broadwater, and R. Sequin, \"Phase prediction in\ndistribution systems,\" in Power Engineering Society Winter Meeting,\n2002. IEEE, vol. 2, 2002, pp. 985\u2013990.", "V. Arya, D. Seetharam, S. Kalyanaraman, K. Dontas, C. Pavlovski,\nS. Hoy, and J. R. Kalagnanam, \"Phase identification in smart\ngrids,\" in Smart Grid Communications (SmartGridComm), 2011 IEEE\nInternational Conference on, Oct 2011, pp. 25\u201330.", "H. Pezeshki and P. J. Wolfs, \"Consumer phase identification in a three\nphase unbalanced LV distribution network,\" in 2012 3rd IEEE PES\nInnovative Smart Grid Technologies Europe (ISGT Europe), Oct 2012,\npp. 1\u20137.", "T. A. Short, \"Advanced metering for phase identification, transformer\nidentification, and secondary modeling,\" IEEE Transactions on Smart\nGrid, vol. 4, no. 2, pp. 651\u2013658, June 2013.", "W. Wang, N. Yu, B. Foggo, J. Davis, and J. Li, \"Phase identification\nin electric power distribution systems by clustering of smart meter\ndata,\" in Machine Learning and Applications (ICMLA), 2016 15th IEEE\nInternational Conference on. IEEE, 2016, pp. 259\u2013265.", "W. Wang, N. Yu, and Z. Lu, \"Advanced metering infrastructure data\ndriven phase identification in smart grid,\" GREEN 2017 Forward, pp.\n16\u201323, 2017.\n[10] C. M. Bishop, Pattern Recognition and Machine Learning (Information\nScience and Statistics). Secaucus, NJ, USA: Springer-Verlag New York,\nInc., 2006.\n[11] Y. Le Borgne, \"Bias-variance trade-off characterization in a classification\nproblem: What differences with regression,\" Machine Learning Group,\nUniv. Libre de Bruxelles, Belgium, 2005.\n[12] K. Hajebi, Y. Abbasi-Yadkori, H. Shahbazi, and H. Zhang, \"Fast\napproximate nearest-neighbor search with k-nearest neighbor graph,\"\nin IJCAI Proceedings-International Joint Conference on Artificial\nIntelligence, vol. 22, no. 1, 2011, p. 1312.\n[13] W.-Y. Loh, \"Classification and regression tree methods,\" Encyclopedia\nof statistics in quality and reliability, 2008.\n[14] B. P. Roe, H.-J. Yang, J. Zhu, Y. Liu, I. Stancu, and G. McGregor,\n\"Boosted decision trees as an alternative to artificial neural networks\nfor particle identification,\" Nuclear Instruments and Methods in Physics\nResearch A, vol. 543, pp. 577\u2013584, May 2005.\n[15] S. Sonoda and N. Murata, \"Neural network with unbounded activation\nfunctions is universal approximator,\" ArXiv e-prints, May 2015.\n[16] D.-A. Clevert, T. Unterthiner, and S. Hochreiter, \"Fast and accurate deep\nnetwork learning by exponential linear units (ELUs),\" ArXiv e-prints,\nNov. 2015.\n[17] G. Klambauer, T. Unterthiner, A. Mayr, and S. Hochreiter,\n\"Self-normalizing neural networks,\" ArXiv e-prints, Jun. 2017.\n[18] I. Goodfellow, Y. Bengio, and A. Courville, Deep Learning. MIT Press,\n2016, http://www.deeplearningbook.org.\n[19] J. Lampinen and A. Vehtari, \"Bayesian approach for neural\nnetworksreview and case studies,\" Neural networks, vol. 14, no. 3, pp.\n257\u2013274, 2001.\n[20] D. M. Blei, A. Kucukelbir, and J. D. McAuliffe, \"Variational inference:\nA review for statisticians,\" ArXiv e-prints, Jan. 2016.\n[21] R. Ranganath, S. Gerrish, and D. Blei, \"Black box variational inference,\"\nin Artificial Intelligence and Statistics, 2014, pp. 814\u2013822.\n[22] Y. Gal and Z. Ghahramani, \"Dropout as a bayesian approximation:\nRepresenting model uncertainty in deep learning,\" in International\nConference on Machine Learning, 2016, pp. 1050\u20131059.\n[23] H. Lin and J. Bilmes, \"How to select a good training-data subset for\ntranscription: Submodular active selection for sequences,\" Washington\nUniversity Seattle Dept. of Electrical Engineering, Tech. Rep., 2009.\n[24] U. Von Luxburg, \"A tutorial on spectral clustering,\" Statistics and\ncomputing, vol. 17, no. 4, pp. 395\u2013416, 2007.\n[25] A. Krause and D. Golovin, \"Submodular function maximization.\" 2014."]} Power distribution circuits undergo frequent network topology changes that are often left undocumented. As a result, the documentation of a circuit’s connectivity becomes inaccurate with time. The lack of reliable circuit connectivity information is one of the biggest obstacles to model, monitor, and control modern distribution systems. To enhance the reliability and efficiency of electric power distribution systems, the circuit’s connectivity information must be updated periodically. This paper focuses on one critical component of a distribution circuit’s topology - the secondary transformer to phase association. This topology component describes the set of phase lines that feed power to a given secondary transformer (and therefore a given group of power consumers). Finding the documentation of this component is call Phase Identification, and is typically performed with physical measurements. These measurements can take time lengths on the order of several months, but with supervised learning, the time length can be reduced significantly. This paper compares several such methods applied to Phase Identification for a large range of real distribution circuits, describes a method of training data selection, describes preprocessing steps unique to the Phase Identification problem, and ultimately describes a method which obtains high accuracy (> 96% in most cases, > 92% in the worst case) using only 5% of the measurements typically used for Phase Identification.

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    Authors: Sarah Cornell; Tiina Häyhä; Celinda Palm;

    This report presents key findings from The Sustainable Textiles project, a science-business research partnership led by the Stockholm Resilience Centre at Stockholm University, funded by H&M Group through the Ellen MacArthur Foundation in collaboration with its Global Partners initiative. Tackling planetary priorities by applying circular economy principles can help the fashion and textiles industry to adapt resiliently to today’s rapidly changing social and environmental realities. This report outlines why the fashion and textiles industry urgently needs to take a planetary perspective. Using the planetary boundaries framework as a basis, it explains how tackling planetary pressures with circular economy principles is key to promoting industry transformation. It promotes action on six planetary priorities: the already acute pressures where today’s trends intensify global risks.

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    Citizen science can provide long-term solutions in data generation in the Philippines, where regular and widescale data monitoring is often lacking. However, despite its cost-effectiveness, it still comprises costs in technical equipment, labor, and/or consultancy which can be costly for communities that may not have enough operational and financial resources to sustain it. Tourism, as one of the largest and fastest growing economic sectors in the world, serves as great avenue for citizen science not only to generate a pool of participants but also to build greater public awareness and civic participation in coastal ecosystems. The possibilities to finance this initiative through an additional user fee added especially in monitoring activities in tourism areas are assessed through a willingness and ability to pay study in Binukbok Point, Philippines. Fifteen respondents—equally divided into SCUBA/recreational divers, freedivers/skin divers, and non-divers/snorkelers—are identified in this study for a conduct of focus-group interviews to identify their perceptions on different variables and to gather their willingness to pay bids. These bids—as well as a base price of ₱100—are also evaluated to look into whether they can truly afford to pay for additional user fees. This study reveals that visitors are willing to pay for an additional user fee. However, transparency and accountability factor considerably in their decision: Visitors are willing to pay so long as changes in the area are visible and usage of fees is transparently disclosed. While visitors are willing to pay for an additional user fee, they are able to afford only a limited range of values with a maximum tolerance around ₱100 to financially sustain this undertaking. Future willingness to pay studies are recommended to add ability to pay assessments.

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    Authors: orcid Oates, L.E. (author);
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    Basic infrastructure services – water and sanitation, waste collection and management, transport, energy, and housing – form the foundation upon which cities are built. Sustainable and equitable provision of services is key to combating climate change, eradicating poverty and meeting targets set out in international sustainability agendas. However, even as the language of the sustainability transitions literature is being appropriated by governments, social movements and practitioners, the concepts of sustainability and sustainability transitions remain ill-defined and often narrowly applied. We conduct a corpus-assisted discourse analysis of the sustainability transitions literature on urban basic infrastructure services to tap into prevailing representations and conceptions. Findings show that the delivery of sustainable urban services is discursively framed as a predominantly institutional and economic challenge, favouring a top-down techno-managerial approach to transitions that applies technical fixes to environmental problems at the expense of social dimensions of sustainability. While some studies, such as those with a focus on the Global South and/or water and sanitation services, engage to a greater degree with issues such as justice and equality, they still tend towards technical and economic solutions. An integrated approach encompassing all dimensions of sustainability and a broader understanding of infrastructure services not as separate, single-purpose technologies but as part of interconnected systems with multiple social, economic and environmental objectives is needed if we are to transition to a more sustainable urban future. Management in the Built Environment Urban Development Management

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    Authors: orcid bw Mudasir Ahmad Tass;
    Mudasir Ahmad Tass
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    Mudasir Ahmad Tass in OpenAIRE
    Nisar Ahmad Kakroo; Iqbal Ahmad Hakim;

    The adoption of electric vehicles (EVs) is considered a promising solution to address the negative impacts of conventional vehicles on the environment and human health. This paper provides a comprehensive review of the current state of EVs, including their types, technology, adoption, government policies, environmental impact, and future prospects. The review reveals that EVs have the potential to significantly reduce air pollution, greenhouse gas emissions, and noise pollution. However, their adoption has been hindered by various factors such as perceived usefulness, ease of use, and risk, which can be addressed through policy interventions and infrastructure development. The paper highlights the significance of the Faster Adoption and Manufacturing of Electric Vehicles (FAME) scheme in India and other international policies and initiatives to support the adoption of EVs. The review also identifies the technological advances and battery development as promising opportunities for the future of EVs. The paper concludes by providing implications for policy and practice, including the need for incentives and infrastructure development to promote EV adoption and recommends further research on the consumer trends and challenges in the adoption of EVs.

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