Anticipatory logics of the smart city’s global imaginary

The smart city encompasses a broad range of technological innovations which might be applied to any city for a wide variety of reasons. In this article, I make a distinction between local efforts to reshape the urban landscape, and a global smart city imaginary which those efforts draw upon and help sustain. While attention has been given to the malleability of the smart city concept at this global scale, there remains little effort to interrogate the way that the future is used to sanction specific solutions. Through a critical engagement with smart city marketing materials, industry documents, and consultancy reports, I explore how the future is recruited, rearranged, and represented as a rationalization for technological intervention in the present. This is performed amidst three recurring crises: massive demographic shifts and subsequent resource pressures, global climate change, and the conflicting demands of fiscal austerity that motivate the desire of so many cities to attract foreign direct investment and highly skilled workers. In revealing how crises are pre-empted, precautioned, and prepared for, I argue that the smart city imaginary normalizes a style and scale of response deemed appropriate under liberal capitalism.     

厦漳泉城市群小时交通圈研究

本文基于2014年厦漳泉城市群交通网络数据和调查数据,采用问卷调查确定城内交通时间及交通时间满意度时间阈值,应用凸壳理论划分城际理论小时交通圈,继而利用城内交通时间修正城际理论小时交通圈,生成城际实际小时交通圈,并结合百度地图划分基于交通时间满意度的城内小时交通圈。研究结果表明：①城际理论小时交通圈均超过本市域范围,而厦门、漳州和泉州各城市城际实际小时交通圈面积相较于城际理论小时交通圈大幅缩小,缩小幅度分别为91.7%、82.9%、83.9%,覆盖区域主要为各自市域范围;②受访者城内交通时间为31~61 min;而使用公交车通常需60 min以上到达汽车站、90 min以上到达动车站,处于不满意甚至很不满意的时间阈值内,其中非常不满意占主导地位;③67.71%的受访者对城际交通时间表示很满意或满意,但69.1%受访者对城内交通时间表示很不满意或不满意。厦漳泉城市群城内交通系统有待改善,建议应完善厦漳泉交通网络尤其是城内交通网络。     

基于改进混合蛙跳算法的个性化旅游路线推荐

大众在旅游途中期望获得开销低、行程方便、舒适度高的旅游体验,同时还具有历史人文、自然景观、美食购物等不同游览需求.因此,本文提出了一种基于改进混合蛙跳算法的个性化旅游路线推荐方法.首先建立个性化旅游路线推荐问题的优化模型,并针对该模型的特点,设计改进混合蛙跳算法.通过调整可控精度,增加筛选准则和及时处理异常解等策略增强群体的多样性,降低遗漏最优解的风险,强化局部搜索能力,并提高算法的求解精度.以南京三日游个性化旅游路线推荐问题作为实例,收集南京市内知名景点的门票价格、开放时间、不同出行方式所需的时间和花费情况以及食宿费用等相关数据,基于改进混合蛙跳算法进行求解.实验结果表明,与改进前的方法相比,所提改进方法能够获取更优的路径解,推荐的路线能够更好地满足用户的个性需求.     

Empirical Relationships for Debris Flows

The assessment of the debris flow hazard potential has to rely on semi-quantitative methods. Due to the complexity of the debris-flow process, numerical simulation models of debris flows are still limited with regard to practical applications. Thus, an overview is given of empirical relationships that can be used to estimate the most important parameters of debris-flow behavior. In a possible procedure, an assessment of a maximum debris-flow volume may be followed by estimates of the peak discharge, the mean flow velocity, the total travel distance, and the runout distance on the fan. The applicability of several empirical equations is compared with available field and laboratory data, and scaling considerations are used to discuss the variability of the parameters over a large range of values. Some recommendations are made with regard to the application of the presented relationships by practicing engineers, apart from advocating field reconnaissance and searching for historic events wherever possible.     

《湖北省标准地名图集》的设计与编制

《湖北省标准地名图集》是湖北省第一部以标准地名为主题的专题地图集,汇集了最新的行政区划、地名普查、行政区域界线和基础地理信息成果,详细表示了各类标准地名的分布.从图集内容和结构编排、内容设计特点、编制技术创新、版式与装帧设计等方面介绍了图集的设计和编制情况,探讨了标准地名图集的设计思想以及智慧制图技术,为今后标准地名图...     

Development of a distributed hydrological model to facilitate watershed management

To facilitate precise and cost-effective watershed management, a simple yet spatially and temporally distributed hydrological model (DHM-WM) was developed. The DHM-WM is based on the Mishra-Singh version of the curve number method, with several modifications: The spatial distribution of soil moisture was considered in moisture updating; the travel time of surface runoff was calculated on a grid cell basis for routing; a simple tile flow module was included as an option. The DHM-WM was tested on a tile-drained agricultural watershed in Indiana, USA. The model with the tile flow module performed well in the study area, providing a balanced water budget and reasonable flow partitioning. The daily coefficient of determination and Nash-Sutcliffe coefficient were 0.58 and 0.56, for the calibration period, and 0.63 and 0.62 for the validation period. The DHM-WM also provides detailed information about the source areas of flow components, the travel time and pathways of surface runoff.

EDITOR A. Castellarin; ASSOCIATE EDITOR F.-J. Chang     

甘肃地区一维速度模型计算研究

采用2009年1月1日—2014年6月甘肃省境内所有地震的震相数据,分类拟合计算该地区一维速度模型,计算结果显示,利用少量震级较大地震数据来拟合的速度结果近似于用所有地震拟合结果。拟合得出新模型初步结果后,再从所有地震资料中选定台站包围好、震相标识规范的142个地震,利用Hyposat定位方法来计算莫霍面深度,参考其他模型的莫霍面深度,综合分析后在一定的扰动范围内通过Hyposat批处理程序进行迭代定位,对8 640次计算模型做残差对比,最终选取残差最小模型作为新模型,此模型除部分参数有较小的差别外与甘青模型基本一致。     

基于LBS和深度学习的旅游景区客流量的高时频预测

为实现精准的旅游景区客流量的高时频预测,本研究构建了一套基于LBS和深度学习模型的预测方法。此方法可通过对LBS数据的转换实现预测的空间范围与时频控制,并通过方法的核心模型——基于双向循环神经网络和GRU算法构建的深度双向GRU(DBi-GRU)模型完成预测。为检验方法的有效性,研究以深圳大梅沙海滨公园为例对方法进行实验测试。实验使用拟合曲线、误差指标及DM检验3种方法评估DBi-GRU模型的预测效果。此外,实验还设置了其他五种深度学习模型作为DBi-GRU的对照模型,测试基于不同深度学习算法的模型之间的预测水平差异。实验结果表明:(1)本研究提出的DBi-GRU模型在景区客流量高时频预测中具有理想的预测效果,在高峰时段的客流量预测方面也具有较高准确性,预测效果明显优于其他深度学习模型;(2)基于双向循环网络的模型的效果普遍优于基于常规循环网络的模型。尤其是基于双向LSTM算法的模型,虽然预测的准确度略逊色于DBi-GRU模型,但在模型性能上与其的差异并不显著;(3)在相同网络参数下,GRU算法较前人采用的LSTM和RNN算法有着更高的预测准确性。本研究为客流量预测领域的研究提供了一种...     

场地类别分类方案研究

基于性能的抗震设计,要求工程师设计出具有预期抗震性能的结构,一个关键因素是地震作用的确定,这在很大程度上取决于局部场地条件。通过收集和分析北京、苏州和唐山城区956个钻孔资料,建立地表20 m和30 m深土层走时平均剪切波速VS20和VS30的关系式;现场钻探获取北京城区深105 m的典型钻孔原状土样,试验给出各类土体动剪切模量和阻尼比曲线;建立北京城区170个钻孔的场地反应计算模型,采用Nakamura提出的HVSR法和陈国兴等提出的弱震法估算场地基本周期TS值,结合国内外现行抗震规范的场地分类及一些学者对场地分类的研究成果,提出两种新的场地分类建议方案：基于等效剪切波速VSE和覆盖土层厚度H（地表至剪切波速VS ≥ 500 m/s的基岩深度）的双指标场地分类方案及基于VSE、H和TS的三指标场地分类方案。提出的场地分类方案对我国现行抗震规范场地分类方法的改进有参考价值。     

利用DPGrid系统制作1∶500正射影像图

利用了DPGrid系统,实现了新疆奎屯市城区1∶500数字正射影像图生产,试验表明其可以实现城市大比例尺数字正射影像图的高效率生产。