Shaping the Coast with Permits: Making the State Regulatory Permitting Process Transparent with Text Mining

This paper examines the California Coastal Commission's permitting process. Using several text mining techniques, including web scraping, information extraction, and supervised classification, I demonstrate how to retrieve empirical data from unstructured texts, namely public meeting agendas and staff reports. Contrary to the concern that the Commission routinely delays or rejects permitting requests, the data reveal that outright rejection of permit applications is rare. On average, eight of ten applications were approved. Single-family homes and commercial development projects were approved about 80% of the time; the rates were about 70% for seawalls and retaining walls, and 60% for land-use changes. Most applications were processed swiftly, with a median application length of 3 months. The agency's influence comes primarily from negotiating each application. Qualitative study of 50 cases pertaining to single-family home construction reveals that the agency adopts a “managed development” approach, that is, allowing development but scrupulously managing various aspects of development. These case studies illustrate how the agency interprets the broad, abstract state laws and translates the mandates into enforceable actions as permitting conditions. In areas where the state mandates conflict, particularly over development in receding shorelines, the agency has the largest leverage in creating and implementing its preferred policies. The text mining techniques demonstrated in this paper can be applied to study any governmental agency. These techniques help to extract information from a massive volume of papers and organize them into a database for analyses. The empirical data extracted from texts can significantly increase bureaucratic transparency.     

“s”型覆岩空间结构的冲击地压危险区预测

基于微地震监测和覆岩空间结构理论，以山东华丰矿1410工作面为例，分析了“s”型覆岩空间结构的形成，利用理论方法和微地震监测预测并圈定了华丰矿1410工作面发生冲击地压的危险区域，研究了“s”型覆岩空间结构的冲击地压危险区分布规律，为现场预测和控制冲击地压灾害提供了理论基础。     

Commuter ride-sharing using topology-based vehicle trajectory clustering: Methodology,application and impact evaluation

This paper illustrates a ride matching method for commuting trips based on clustering trajectories, and a modeling and simulation framework with ride-sharing behaviors to illustrate its potential impact. It proposes data mining solutions to reduce traffic demand and encourage more environment-friendly behaviors. The main contribution is a new data-driven ride-matching method, which tracks personal preferences of road choices and travel patterns to identify potential ride-sharing routes for carpool commuters. Compared with prevalent carpooling algorithms, which allow users to enter departure and destination information for on-demand trips, the proposed method focuses more on regular commuting trips. The potential effectiveness of the approach is evaluated using a traffic simulation-assignment framework with ride-sharing participation using the routes suggested by our algorithm. Two types of ride-sharing participation scenarios, with and without carpooling information, are considered. A case study with the Chicago tested is conducted to demonstrate the proposed framework’s ability to support better decision-making for carpool commuters. The results indicate that with ride-matching recommendations using shared vehicle trajectory data, carpool programs for commuters contribute to a less congested traffic state and environment-friendly travel patterns.     

基于文本挖掘的地铁施工安全风险事故致险因素分析

地铁工程项目是典型的高风险大型复杂项目,施工安全风险事故多发且引发因素众多。为明确施工过程中存在的致险因素,为安全风险事故的预控提供依据,选取2002—2015年国内151例地铁施工安全风险事故报告,借助R语言和文本挖掘的方法,分别对事故报告进行分词处理、特征项选择、向量空间模型构建、共现规律识别,并利用词云和网络结构图等方法可视化文本挖掘结果;从中发现地铁施工安全风险事故的6项关键致险因素和23项一般致险因素,并以关键致险因素为基础构建致险因素集合,为地铁施工安全风险事故的预控提供参考。     

漫谈矿山法隧道技术第十四讲——隧道涌水及其控制方法

分析制定隧道控制地下水对策的基本观点:既要考虑隧道施工对地下水的影响,也要考虑地下水对隧道施工的影响。指出控制地下水的对策必须符合3个条件:1)确保施工作业安全、顺利地开展;2)不对周边环境产生有害的影响;3)以合理的工费和工期来实现。隧道涌水视其发生位置、涌水量、发生时期、涌水量的历时变化等是各种各样的,应对隧道涌水进行合理分类,以便有的放矢地采取相应的对策。介绍了日本统计的地质构造和涌水现象的分类。涌水处理应达到3个基本目标:1)确保隧道施工在无水的条件下进行,或者是在可以接受的渗漏水条件下进行,或者是在对周边环境"可接受干扰"的条件下进行;2)二次衬砌原则上不承受水压作用,不得已时把水压控制在二次衬砌容许的范围内;3)运营中的隧道洞内不能成为地下水流经的通道,隧道衬砌背后必须形成一个纵横交错的、不易堵塞的、通畅的排水系统。达到上述目标的基本方法是:充分利用和提高围岩的隔水性能,合理地处理好"排"与"堵"的关系。针对涌水处理的3个基本目标,分别介绍了国内外相应的经验和措施。1)一些国家的指南、标准对隧道的涌水量进行了分级,认为涌水量≤2.5 L/(min·m)时基本上可以认为是在无水条件下施工;一般的线状流水、经常涌水可以用自然排水法排水;而针对突发大量涌水,则需要采取特殊的地下水对策予以解决。2)按照二次衬砌是否承受水压,隧道可分为3种情况:1衬砌不承受水压,即所谓的完全排水型隧道;2衬砌承受全部水压,即所谓的非排水型(防水型)隧道;3衬砌背后设置注浆域,分担衬砌承受的水压,衬砌只承受部分容许的水压。从目前的隧道设计实际来看,在山岭隧道中多数采用方案1,在城市隧道中多数采用方案2,在高水压和突发大量涌水的极端情况下采用方案3。介绍了日本、美国的设计经验。3)我国铁路隧道采用把地下水引入隧道,再从洞内两侧边墙附近设置的排水沟排出地下水的做法是值得商榷的;特别是在可能发生冻害的地区,更不可取。在国外,日本、德国、法国等国家的铁路、公路隧道基本上是把中央排水管设置在仰拱内或仰拱下方,而在隧道两侧只留有用于排出流入隧道内的雨水或隧道清洗水的排水沟;因此,建议立项研究取消洞内排水沟,设置中央或两侧脚部排水管的问题。最后指出,实现涌水处理的3个基本目标我们尚需努力,特别是"目标"的定位问题,尚需进行基础性的研究才能解决。在隧道施工中,涌水是不可避免的、客观存在的现象,我们积累的经验非常丰富,但缺乏系统的、认真的总结和归纳。     

Power network parameter estimation method based on data mining technology

The parameter values which actually change with the circumstances, weather and load level etc.produce great effect to the result of state estimation. A new parameter estimation method based on data mining technology was proposed. The clustering method was used to classify the historical data in supervisory control and data acquisition (SCADA) database as several types. The data processing technology was impliedto treat the isolated point, missing data and yawp data in samples for classified groups. The measurement data which belong to each classification were introduced to the linear regression equation in order to gain the regression coefficient and actual parameters by the least square method. A practical system demonstrates the high correctness, reliability and strong practicability of the proposed method.     

空间数据挖掘及其在海洋地理信息系统中的应用

空间数据挖掘是数据挖掘中的一个重要门类,空间数据挖掘的意义是在空间数据库或数据仓库的支持下,提取、推理出未知、有价值、可利用的关系、模式或趋势,从而为决策系统提供支持。随着海洋测量技术和电子地图技术的持续发展,以及计算机存储容量的不断扩大,使得海洋地理信息系统中出现了海量数据,如何对这些数据进行有效利用,从而进一步发现价值,是当前海洋地理信息系统研究的主要课题之一。本文介绍空间数据挖掘技术的主要原则,分析空间数据挖掘的实际效果,并研究空间数据挖掘在海洋地理信息系统中的应用,为今后海洋地理信息系统的完善和提高提供依据。     

A Training Framework for Understanding Conflict in the Coastal Zone

The coastal zone is attractive for human settlement because it tends to be resource rich, providing a good location to generate incomes and livelihoods. Equally, however, it is a complex and powerful natural environment, which means that the coastal zone often becomes a focus of conflict with multiple users competing for limited space and resources. Understanding the causes of, and determining solutions to, the ensuing problems requires inputs from a range of analyses across sectors and disciplines. However, different disciplinary and sectoral approaches frequently use different investigative methods, language, and means of presenting results. This article presents a framework that has been developed in collaboration with Indian institutions over the past three years in an effort to address some of these fundamental problems of analysis and translation into policy action. Key components addressed by the framework are strengthening the capacity to practice, knowing how to proceed and how to find out what needs to be known using experience-based problem solving.     

数据挖掘技术在轿车白车身装配偏差溯源中的应用

提出一种将数据挖掘技术与装配工艺知识相融合的白车身装配尺寸偏差源快速诊断方法。该方法采用最大树法对测量得到的大量分散孤立的多维尺寸数据进行相似性聚类,通过多元统计分析进行偏差模式识别,以偏差主模式为基础提取相关产品、工艺、工装等深层知识,通过构造诊断决策树实现对白车身装配过程尺寸偏差源的快速诊断。实际应用表明,该方法有利于缩小问题空间,提供有效的诊断决策支持;能够克服单纯数据分析导致的偏差源误判与漏判,可快速准确地找到偏差源。     

暗挖车站跨既有隧道施工技术

针对洞桩法暗挖车站跨既有隧道施工项目,通过增加施工通道,采用门式钢架加固等创新、改良工艺,解决了施工工序转换的难题,节约工程成本,降低施工风险。