Hierarchical community detection and functional area identification with OSM roads and complex graph theory

An in-depth analysis of the urban road network structure plays an essential role in understanding the distribution of urban functional area. To concentrate topologically densely connected road segments, communities of urban roads provide a new perspective to study the structure of the network. In this study, based on OpenStreetMap (OSM) roads and points-of-interest (POI) data, we employ the Infomap community detection algorithm to identify the hierarchical community in city roads and explore the shaping role roads play in urban space and their relation with the distribution of urban functional areas. The results demonstrate that the distribution of communities at different levels in Guangzhou, China reflects the urban spatial relation between the suburbs and urban centers and within urban centers. Moreover, the study explored the functional area characteristics at the community scale and identified the distribution of various functional areas. Owing to the structure information contained in the identification process, the detected community can be used as a basic unit in other urban studies. In general, with the community-based network, this study proposes a novel method of combining city roads with urban space and functional zones, providing necessary data support and academic guidance for government and urban planners.     

A novel spatial index using spatial analyses and hierarchical fuzzy expert system for obtaining green TOD: a case study in Tehran city

Sustainable development is a vital and challenging factor for managing urban growth smartly. This factor contains three main components, namely economic growth, ecological protection and social justice. Green Transit-Oriented Development (GTOD) is a consummate planning approach in line with those components. Implementation of GTOD in an urban area is underpinned by its quantification. Therefore, a quantitative spatial index based on several indicators related to TOD and Green urbanism concepts should be developed. In this study, Geo-spatial Information Science and hierarchical fuzzy inference system (HFIS) were employed to calculate the indicators and aggregate them, respectively. In order to showcase the feasibility of the proposed method, it was implemented in a case study area in the City of Tehran, Iran. The result of this method is an integrated spatial GTOD index, which measures the neighbourhoods’ GTOD levels. These measurements specify weaknesses and strengths of neighbourhoods’ factors. Therefore, this index helps decision-makers to plan neighbourhoods based on land use and public transit views. Additionally, the HFIS method helps decision-makers to consider criteria and indicators with their inherent uncertainties and aggregate them with much fewer rules. For evaluating the results, the developed GTOD index was assessed with municipal action planning and attraction maps. According to the outcomes of the assessment, it is concluded that the proposed method is adequately robust and efficient for smart and sustainable urban planning.     

The infusion of sustainability into bilateral fisheries agreements with developing countries: The European Union example

The EU's bilateral fishing policy towards developing third countries has evolved over the years to increasingly emphasise sustainability, culminating in 2002 with the release of a ‘fisheries partnership approach’. The Community has begun to operationalise the policy in various West African coastal states, where its new fisheries partnership agreements are intended to function as ‘development vectors’. This paper introduces the EU's new policy, examines its potential implications for the role of sustainability in future bilateral fishing relations and highlights the impetus for it with reference to analysis of the EU's most recent agreement with Senegal based on empirical research.     

基于SWOT-AHP方法的海岛休闲产业发展策略研究——以舟山为例

文章采用SWOT-AHP分析法对舟山海岛休闲业的优势、劣势、机遇和挑战4方面设定指标14项,并进行研究分析,结果表明:舟山海岛休闲产业有良好的区位、资源和政策优势,舟山海岛休闲产业面临的形势,依次为:机遇、优势、劣势、威胁,产业优势和机遇处于利好位置,但同时面临着一系列如缺乏统一规划、产品特色不突出、缺乏完善的管理体制机制、竞争中同质化情况明显等问题。针对此现状及问题提出科学规划可持续发展、完善管理体制机制、强化市场宣传,提升知名度、倡导生态旅游,提升环保意识、加强产品创新及人才培养等建议,以促进舟山海岛休闲业的稳步发展,给舟山及我国海岛休闲业的发展提供一些参考,以实现我国海岛休闲产业的品质化与多元化,促进海岛休闲产业的蓬勃发展。     

无居民海岛开发适宜性评价指标体系的构建和在厦门海域的应用

无居民海岛开发适宜程度取决于对其生态重要性与开发可行性的综合评价.本研究从表征生态重要性的物种、生境和自然历史文化遗迹,以及反映开发可行性的自然、资源和社会经济条件构建无居民海岛开发适宜性评价指标体系;采用专家咨询法和层次分析法确定指标权重,在评价指标量化与标准化处理的基础上,建立生态重要性-开发可行性互斥矩阵确定无居民海岛的开发适宜程度.对厦门海域的实际应用研究结果表明,其18个无居民海岛的开发适宜性总体偏低,中度适宜开发的海岛共有7个,低适宜开发的海岛有8个,不适宜开发的海岛有3个,评价结果与国家海洋局2011年发布的可供开发利用无居民海岛名录中厦门海域部分基本吻合.作者建议对厦门海域中度适宜开发的无居民海岛可据其资源特征进行适度开发;对低适宜开发的无居民海岛应优先保护海岛生态,维护海岛自然属性;对不适宜开发的无居民海岛应重点加强海岛生态保护,必要时进行生境的重建和修复.     

福建省贝藻类养殖碳汇及其潜力评估

海水贝藻类养殖碳汇是海洋渔业碳汇的重要组成,开展其碳汇研究对服务我国实现碳中和目标有积极的作用.福建省的海水养殖规模和产量居于全国前列,对其海水贝藻类养殖碳汇及潜力评估有重要的意义.本研究分析了2015至2020年度《中国渔业统计年鉴》海水贝藻类养殖数据,估算了2014年至2019年全国及福建省海水贝藻类养殖碳汇强度,...     

基于PSR模型的石化园区海洋环境影响后评估指标体系研究

我国将建成七大国家级石化产业园区,这些石化园区无一例外的位于沿海地区或海岛上,为此加强石化园区运营期海洋环境保护意义重大.环境影响后评估是运营期检验园区环境管理水平、查找园区环境问题的重要手段之一.目前,石化园区环境影响后评估主要以环境要素逐一分析法最为常见,而将石化园区作为一个整体从资源、环境、管理等角度综合评估的方法尚不多见.本研究在阐述我国海洋环境后评估和深入分析石化园区用海特点的基础上,结合PSR框架模型加以总结,提出了石化园区海洋环境影响后评估框架与指标体系,分为框架层、方案层和指标层,共25项考核指标,以期为今后沿海石化园区海洋环境管理研究提供思路.同时,本研究明确了各类评估指标赋值和权重等计算方案,并以大连某石化园区为案例进行了评估效果验证.     

滨海社区空间演变分形研究——以厦门市高浦社区为例

滨海城市社区的空间形态及其海岸线表现出一定程度的复杂性,发展量化描述方法对于其可发展研究有重要的理论与应用价值。本研究基于分形理论,以滨海城市厦门的高浦社区为研究对象,利用计盒法对该滨海社区空间形态和边界进行复杂性分析和分形维计算,研究社区空间形态复杂性演变规律。结果表明:作为典型海湾渔村的高浦社区空间形态具有分数维,呈现分形结构特性。自1989年至今,该社区空间形态的分形维数呈现增长态势;社区边界的分形维数呈现下降态势。社区空间形态的分形维数与社区建筑占地面积、建筑总面积、建筑密度、容积率都表现出相关性。这表明滨海社区在快速城市化进程中,社区规模急剧扩张可能会导致空间形态和边界复杂性的显著变化。     

载人潜水器运行管理机制探析

为了探索深海,不同类型的深海运载装备得以成功开发,并应用于深海科学、资源勘探开发、工程保障及战略安全等不同领域。深海运载装备可以分为载人潜水器(HOV)、遥控深潜器(ROV)、自治式深潜器(AUV)及混合型深潜器,其中以载人潜水器为代表的高技术装备群成为建设海洋强国的重要保障力量。文章对美国"阿尔文"号、俄罗斯"和平I"号和"和平II"号、日本"深海6500"号、法国"鹦鹉螺"号、中国"蛟龙"号载人潜水器运行管理机制进行了阐述,综合比较其优缺点,提出了建立职业化运行保障队伍、优化作业流程,创新组织结构、探索多型潜水器海上作业模式等运行管理机制构架的建议。     

面向地学计算的资源环境科学数据共享平台的设计

目前,在我国的资源环境科学领域中,数据、计算和服务等各种资源存在着共享少、冗余大、标准杂等问题。而信息技术的飞速发展给资源环境科学领域的信息技术基础--地理信息系统带来强大的技术支持。鉴于此,本文以中国科学院资源环境科学数据共享平台建设为例,系统地介绍面向地学科学计算的资源环境科学数据共享平台的设计以及所采用的关键技术--元数据标准/元数据数据库技术、XML/GML技术以及网络会议/多媒体技术等。