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Data for: Solar bike path feasibility study in California

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DataONE2025-07-16 更新2025-08-16 收录
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This project explores the feasibility of integrating solar-powered infrastructure into bike pathways as a sustainable energy and transportation solution for California. Using advanced tools like ArcGIS (for analysis), PVWatts, SAM, and JEDI, this study evaluates the economic, environmental, and technical implications through a conceptual case study based in Riverside. Insights drawn from global case studies and stakeholder feedback highlight challenges such as financial constraints, regulatory complexities, and technical design considerations, while also identifying opportunities for renewable energy generation, greenhouse gas emission reductions, and enhanced urban mobility. The conceptual case study serves as a framework for assessing potential benefits and informing actionable strategies. Recommendations address barriers and align implementation with California’s climate action and sustainability goals, offering a roadmap for integrating renewable energy with active transportation sy..., The data collection and processing methods for this project utilized a combination of publicly available tools and resources to ensure accuracy and usability. Key geospatial, energy modeling, and economic analysis data were gathered using reliable tools such as ArcGIS, SAM, JEDI, and PVWatts, with outputs systematically processed into accessible formats. This approach enabled comprehensive analysis of bike path integration, energy performance, and economic impacts. Data Collection: BikePaths_Riverside.qgz: Geospatial data detailing bike paths in Riverside was gathered from publicly available sources and initially analyzed using ArcGIS Pro. To ensure open access and reusability, the data has been converted to a .qgz project file compatible with QGIS (version 3.42), a free and open-source GIS platform. SAM_Input_Variable_Values.csv: Input parameters were collected based on standard system specifications, financial assumptions, and default or adjusted inputs available in the System Ad..., , # Data for: Solar bike path feasibility study in California [https://doi.org/10.5061/dryad.4tmpg4fn1](https://doi.org/10.5061/dryad.4tmpg4fn1) ## Description of the data and file structure The data was collected to evaluate the feasibility, technical requirements, and potential impacts of integrating solar-powered infrastructure into bike pathways. The study utilized geospatial data from ArcGIS for spatial analysis and site evaluation, combined with energy modeling tools such as PVWatts and SAM to estimate energy production, greenhouse gas reductions, and financial metrics. The JEDI model was employed to assess economic and job creation impacts. These efforts were guided by a conceptual case study in Riverside, California, to simulate real-world scenarios and inform actionable strategies for renewable energy integration. Feedback from stakeholders further shaped the analysis, addressing technical, economic, and regulatory challenges while aligning with California's sustainability goa...,

本项目探究了将太阳能基础设施集成至自行车道的可行性,以此作为加利福尼亚州的可持续能源与交通解决方案。本研究借助ArcGIS(用于空间分析)、PVWatts、SAM及JEDI等先进工具,以河滨市(Riverside)为基础开展概念性案例研究,评估该方案在经济、环境与技术层面的影响。通过全球案例研究与利益相关方反馈得出的结论,既揭示了资金限制、监管复杂性、技术设计考量等挑战,也指出了可再生能源发电、温室气体减排以及提升城市慢行交通出行效能等方面的机遇。该概念性案例研究可作为评估潜在效益、制定可行策略的框架。相关建议针对性破解实施障碍,并与加利福尼亚州的气候行动与可持续发展目标相契合,为可再生能源与慢行交通系统的协同整合提供了实施路径…… 本项目的数据收集与处理方法结合了公开可用的工具与资源,以确保分析的准确性与可用性。关键的地理空间、能源建模与经济分析数据均通过ArcGIS、SAM、JEDI及PVWatts等可靠工具采集,并将输出结果系统化处理为易于使用的格式。该方法可实现对自行车道集成方案、能源性能与经济影响的全面分析。 数据收集: BikePaths_Riverside.qgz:从公开来源获取了河滨市自行车道的地理空间数据,并初步使用ArcGIS Pro进行分析。为确保数据的开放获取与可复用性,该数据已转换为适配QGIS(3.42版本)的.qgz项目文件——QGIS是一款免费开源的地理信息系统平台。 SAM_Input_Variable_Values.csv:输入参数基于标准系统规格、财务假设以及System Ad...中可用的默认或调整后参数。 # 数据集说明:加利福尼亚州太阳能自行车道可行性研究 [https://doi.org/10.5061/dryad.4tmpg4fn1](https://doi.org/10.5061/dryad.4tmpg4fn1) ## 数据与文件结构说明 本数据集用于评估将太阳能基础设施集成至自行车道的可行性、技术要求与潜在影响。本研究利用ArcGIS获取的地理空间数据开展空间分析与场地评估,结合PVWatts与SAM等能源建模工具估算能源产量、温室气体减排量与财务指标,并通过JEDI模型评估经济与就业创造影响。所有分析均以加利福尼亚州河滨市的概念性案例研究为依托,模拟真实场景并为可再生能源集成的可行策略提供参考。利益相关方反馈进一步完善了分析内容,针对技术、经济与监管层面的挑战进行优化,并与加利福尼亚州的可持续发展目标保持一致……
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2025-07-22
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