效益成本分析库
I was wondering if there are any opensource libraries that are geared towards transportation ben/cost analysis.
I currently use microBENCOST and would like to build my own solution. I'm most comfortable with C/c++ and Python.
cheers
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我女朋友在一家交通规划公司工作，他们使用 SPSS 开发的各种模型，在 Excel 中处理大量数据，在 ArcGIS 中进行可视化。不过，就交钥匙解决方案而言，我认为您将或多或少地依靠自己。
不过，假设您想转向比 DOS 应用程序（如 MicroBENCOST）更新/更易于维护的东西，我会赞同这个建议，以适应 Scipy，然后开始在原来的应用程序的基础上构建统计模型的工具箱。对于其他类型的建模，您可能还会发现 SimPy 很有用；它不像 MicroBENCOST 那样进行简化的成本/效益分析，但它可能适用于需要原始离散仿真模型的更多开放式设计问题。
My girlfriend works for a transportation planning firm, and they use a variety of models developed in SPSS, with a lot of data munging in Excel and visualization in ArcGIS. As far as turnkey solutions go, though, I think you're going to be more or less on your own.
Assuming you want to move on to something a bit newer/more maintainable than a DOS application like MicroBENCOST, though, I would second the recommendation to become comfortable with Scipy, and then start building up a toolbox of statistical models based on the original application. For other types of modeling, you may also find SimPy useful; it doesn't do the simplified cost/benefit analysis that MicroBENCOST does, but it may be applicable for more open-ended design problems where original discrete simulation models are called for.
我认为没有任何替代方案，因为 MicroBENCOST 似乎是为加利福尼亚州开发的一个特殊项目，而交通分析几乎是利基市场。
如果您要构建自己的解决方案，您可能需要研究 Python 可用的各种数学库 - 特别是 numpy< /a> 和/或 scipy。
I don't think there are any alternatives, considering MicroBENCOST appears to be a special project developed for the state of California, and transportation analysis is about as niche as it gets.
If you are going to build your own solution, you will probably want to look into the various math libraries available to Python - particularly numpy and/or scipy.
microBENCOST 是由加州交通部购买的，它看起来确实是一个合适的工具。缺什么？如果您需要尚未实现的特定功能，也许您应该考虑编写自己的功能。找到更好的东西真的很难
microBENCOST is purchased by the californian department of transport and really it seems a suitable tool. What is missing? If you need something particular that is not yet implemented, maybe you should consider to write your own. It's really difficult to find something better