地理信息在智慧城市系统中的地位刍议——以阿勒泰地区应用为例

地理信息系统是智慧城市建设中的重点项目。地理信息是大部分智慧城市应用系统的基础信息。倾斜摄影测量技术的发展,使得获取三维地理信息的成本大大降低,数据应用更加广泛。地理信息实时共享是开拓智慧城市应用领域的关键。因此,如何部署数据、计算、软件和软件模块资源,如何建设地理信息服务平台,对各种应用开发会产生重大影响。各种资源在网络中的部署、信息服务"供给侧"设计、网络业务的高效无缝集成,是对智慧城市设计者的新挑战。     

智慧城市云平台中地下管线系统模块设计

随着互联网技术支撑的实时以及动态的大数据时代的来临,智慧城市的发展面临新的问题。城市智慧管线系统是智慧城市不可或缺的重要组成部分,其系统在传统平台的网络硬件支撑、数据支撑、服务支撑、应用及用户各个逻辑层面上,必须有新的技术手段应用和对传统技术的升级及替代。     

A digital earth platform for sustainability

ABSTRACT

Based on the experience of the International Society for Digital Earth (ISDE), this paper describes some challenges foreseen in order to develop a Digital Earth platform that can support the implementation of the Sustainable Development Goals. The use of ready-to-use derived geospatial information is essential. Future Earth’s methodology of ‘co-design’ aims to bring together natural, social scientists and decision makers to plan and carry out research for sustainability. Sustainability implies transdisciplinary research, but in order for scientists of different disciplines to work together, they will need to be able to share, access and use common data. This is by far not simple! While the good will to share data might exist, the associated technological, ethical and privacy issues are difficult to solve. An adequate e-infrastructure will be required. ISDE could consider to use the SDGs is the basis to develop the desired Digital Earth platform. This paper, by no means, covers everything for a Digital Earth platform, it aims to trigger research discussions and to have a good view about a starting point.     

智慧城市与地理信息共享平台建设——一个需要高度重视的问题

目前,我国正处于城市人口剧增的城镇化加速发展时期,同时,也面对交通堵塞、环境污染、能源紧缺等来自各方面的挑战。那么,如何破解城市发展所带来的诸多难题,实现城市可持续发展呢?建设智慧城市已成为当今世界城市发展不可逆转的历史潮流。目前,我国已有154个城市提出建设智慧城市。然而,在智慧城市建设过程中出现了值得重视的问题,即一些城市对基础地理数据、空间信息以及基础地理信息共享平台的建设认识不明确,重视不够。搭建地理信息共享平台是智慧城市建设的基础,是城市转型发展、生态文明建设、新型城镇化和治理现代化的需求,是推进“互联网+”行动和促进电子政务协调发展等方面的要求。因此,必须按照先进性、现势性、完备性、实用性等原则搭建地理信息共享平台。     

基于夜间灯光数据的南京城镇用地提取

针对多时相夜间灯光影像无法直接对比的问题,该文提出了一种基于不变目标进行不同年份不同卫星夜间灯光数据的校正方法。在系统校正多时相夜间灯光数据的基础上,应用支持向量机分类算法提取城镇用地信息,并分析1992—2013年南京城镇扩张动态变化规律。结果表明:该数据校正方法可以有效减少年际夜间灯光影像之间的异常差异,提高不同年份数据间的连续性和可比较性;支持向量机分类算法提取的4个样区城镇用地信息总体精度和Kappa系数平均值分别为88.35%和0.56,能够准确反映区域城镇发展的实际情况;1992—2013年南京城镇经历先缓慢后快速的扩张过程,主城区在1992年城镇基础上往四周扩张,并沿长江及南北交通走廊发展。     

Social networks and healthy cities: spreading good practices based on a spanish case study

The city of Vitoria‐Gasteiz in Spain is considered a “healthy city” and has implemented sustainable actions to increase the mobility of its healthcare professionals. The objectives of this study are firstly to account for the use of bicycles at work as a strategy for a healthy city and secondly to propose a conceptual framework for analyzing this network and its capacity to spread their practices The paradigm proposed is that of social networks, within which sharing between contacts is explained by means of two models: the “threshold model” and “opinion leaders”.     

Is remote sensing useful for finding and monitoring urban farms?

As the world becomes increasingly urbanized, the need for fresh fruits and vegetables in urban areas grows while the difficulty of bringing these perishable products to these areas also increases. Small-scale agriculture located in urban areas is a highly effective and profitable way to provide these products to communities that are far from extensive commercial agricultural areas. Here we describe how remote sensing can be used with data mining approaches to monitor urban and peri-urban farms within cities in both developed and developing countries. Using very high resolution satellite imagery together with moderate and coarse resolution imagery and information from social media and the web, we analyze the usefulness of different methods to identify farms within urban boundaries in four countries. The analysis shows how a mixed-method approach is necessary in order to identify where urban farming is occurring and to monitor its change through time. Although remote sensing-based vegetation and water indices were useful, without ancillary data they are not effective at remotely mapping the locations of urban farms. However, remote sensing is a good way to monitor vegetation condition in locations where actively managed urban farms are known to exist.     

中国城市网络等级结构特征及组织模式——基于铁路和航空流的比较

交通流是反映城市间社会经济联系的重要表征,被广泛应用于城市网络研究中。基于2010年中国城际铁路与航空客流OD数据,本文从城市节点、流量、子网络视角对中国城市网络的结构特征与组织模式进行了比较研究,发现：① 铁路与航空流视角下的中国城市网络均呈现出以北上广为顶层节点的空间等级结构体系,但除顶层结构外两种网络结构差异较大。② 城市网络体系中的铁路流联系表现出空间邻近性特征,而航空流联系则主要受到城市节点的规模大小与职能属性的影响。③ 铁路流的首位联系受省级行政区划的制约,航空流的首位联系空间跨度大,形成了若干具有垂直层间联系的地域子系统。④ 铁路网络拥有具有显著地域特征的7个子网络,而航空网络中则不存在明显的子网络。技术经济特征与管理体制是造成铁路与航空两种网络特征差异的主要原因。     

辽宁中部城市群城市体系中规模与距离关系的研究

以城市人口规模、城市间距离为指标,通过多元回归模型,定量分析辽宁中部城市群中城市规模与空间距离的关系,以及城市与“最近城市”的距离和“距离位序”之间是否存在类似“城市位序-规模律”的定量关系。研究发现：① 城市i的规模P_i与“最近城市”n的规模P_n、距离D_i-n以及区域中心城市c的距离D_i-c有关,与首位城市的规模和距离无关,其中P_n、D_i-n为正向影响,D_i-c为负向影响。就影响力而言,区域中心城市c的影响大于“最近城市”n,这一点区别于国内其他城市群。② 城市群中存在“城市距离-位序律”的定量关系。③ 利用城市规模与距离的定量关系可以测算理论人口规模和影响范围,为辽宁中部城市群的人口预测和空间结构划分提供有益参考。     

城市居民出境旅游风险感知维度选划——以上海市为例

伴随着中国公民出境旅游的持续增长,出境旅游风险频度也不断升级,危害程度不断加剧。依据旅游风险感知维度相关研究成果与实地抽样调查数据统计分析,以上海市为例,选划城市居民出境旅游风险感知维度,并结合政府部门出境提示预警、游客对出境旅游的有效投诉、企业出境旅游产品风险等级测评等相关数据,分别从出境旅游服务需求方和提供方视角对出境旅游风险感知维度进行甄别及差异校验,旨在为城市居民出境旅游风险管控与可持续发展决策提供科学依据。