• Title/Summary/Keyword: Urban Governance

Search Result 145, Processing Time 0.02 seconds

The Utilization of Military Welfare Facilities by Private Sectors (군 복지시설의 민간활용 연구)

  • Syung uk Lee;Jinsoo Ko
    • Land and Housing Review
    • /
    • v.14 no.2
    • /
    • pp.83-95
    • /
    • 2023
  • The purpose of this study is to improve the private utilization of military welfare facilities that are aging or underutilized in urban areas. It also aims to develop ways to strengthen cooperative win-win strategies between the military and local communities. The use of military welfare facilities by the private sector refers to activities where the private sector generates additional benefits or added value by allowing the use of these facilities, including both private use and improvements to facilities or development of land through private sector involvement. From the perspective of the city and the locals, military welfare facilities are perceived as resident-friendly and excellent urban resources that can promote reciprocal satisfaction between the military and local communities. From the perspective of the military, military welfare facilities are important for enhancing the welfare of military personnel. However, they often face limitations in providing various welfare services due to the aging of facilities and limited operations with a single purpose. The improvement of private utilization of military welfare facilities will bring diverse reciprocal benefits to the military, the city, and the locals. Above all, improving the private utilization of military welfare facilities can help the military and local communities jointly address diverse urban issues. To establish cooperative governance and find flexible and diverse development strategies that can promote the welfare of the military and enhance the quality of life for the locals, it is important that both the military and local communities make continuous efforts.

Canada's Regional Innovation Support System and Cluster Policy (캐나다의 지역혁신지원체제와 클러스터정책)

  • Nahm, Kee-Bom
    • Journal of the Economic Geographical Society of Korea
    • /
    • v.11 no.4
    • /
    • pp.647-660
    • /
    • 2008
  • The main thrusts of Canadian regional innovation policy lies in the two tract system. Federal government decides only the strategic research and development sectors and priorities, and then researchers and stockholders in the regions decide and implement the specific networking relationships and appropriate governance system. This paper reviewed the decentralized and market-friendly Canadian regional innovation support system and the characteristics of Canadian innovation clusters: Learning, Labour, Location, Leadership, Legislation/ Labs. finally, policy implications for Korean regional innovation system such as networking, formation of social capital, and business support systems are offered.

  • PDF

A Study on Strategic City Brand Policy: Based on the comparative analysis of city brand slogans in Seoul and overseas case studies (전략적 도시 브랜드 정책 연구: 서울시와 해외 도시 브랜드 슬로건의 비교 분석을 바탕으로)

  • Lim, Haewen
    • Journal of Digital Convergence
    • /
    • v.19 no.7
    • /
    • pp.41-50
    • /
    • 2021
  • All cities have constructed city branding strategically to intensify their competitiveness in global arena. Seoul Metropolitan has launched city brand in policy-level since 2003 and they have struggled to utilize city branding until now. This study explores the changes in Seoul's city brand in order to suggest a future direction for such efforts. The research is grounded in various domestic and foreign theories and case studies are considered from previous studies related to the place marketing, city marketing, and city branding. Relevant data were collected and analyzed, indicating that an unsure city brand requires strategic governance among stakeholders and civic consensus.

Strengthening the Competitiveness, Productivity and Innovation of Cross-border Industrial Corridors

  • Charles Conteh;JiYoung Park;Kathryn Friedman;Ha Hwang;Barry Wright
    • Asian Journal of Innovation and Policy
    • /
    • v.12 no.1
    • /
    • pp.75-100
    • /
    • 2023
  • Over the past few decades, globalization has been shifting economic power upward to transnational actors on the one hand, and downward to subnational or regional spaces on the other. This phenomenon has resulted in the centrality of territorially delimited subnational regions acting as critical loci of economic governance within a complex and globally distributed value chain of trade and service flows. Within this broader context of industrial restructuring are economic regions that span national borders in their collective assets. The paper focuses on investigating the economic competitiveness and productivity of cross-border (or binational) economic regions. Using the conceptual framework of economic clusters, an econometric model that measures proxies of geographic proximity of firms in the life sciences cluster, and a new binational economic model, the paper examines the key characteristics, potentials and constraints of economic competitiveness and productivity in a cross-border region comprising counties in Western New York and regional municipalities in Southern Ontario. The findings demonstrate the direct and indirect benefits of closer cross-border economic cooperation. The paper then concludes with some policy observations about leveraging cross-border economic clusters for strategic industrial cooperation.

Vehicle detection and tracking algorithm based on improved feature extraction

  • Xiaole Ge;Feng Zhou;Shuaiting Chen;Gan Gao;Rugang Wang
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.18 no.9
    • /
    • pp.2642-2664
    • /
    • 2024
  • In the process of modern traffic management, information technology has become an important part of intelligent traffic governance. Real-time monitoring can accurately and effectively track and record vehicles, which is of great significance to modern urban traffic management. Existing tracking algorithms are affected by the environment, viewpoint, etc., and often have problems such as false detection, imprecise anchor boxes, and ID switch. Based on the YOLOv5 algorithm, we improve the loss function, propose a new feature extraction module to obtain the receptive field at different scales, and do adaptive fusion with the SGE attention mechanism, so that it can effectively suppress the noise information during feature extraction. The trained model improves the mAP value by 5.7% on the public dataset UA-DETRAC without increasing the amount of calculations. Meanwhile, for vehicle feature recognition, we adaptively adjust the network structure of the DeepSort tracking algorithm. Finally, we tested the tracking algorithm on the public dataset and in a realistic scenario. The results show that the improved algorithm has an increase in the values of MOTA and MT etc., which generally improves the reliability of vehicle tracking.

A Study on the Regeneration Policies of an Old Industrial Area in Metropolis : A Case of Sasang Industrial Area (대도시지역 노후공업지역 재생정책 방향에 관한 연구 : 사상공업지역을 중심으로)

  • Kim, Gyeong-Su
    • Journal of the Korean Association of Geographic Information Studies
    • /
    • v.17 no.4
    • /
    • pp.144-155
    • /
    • 2014
  • The industrial areas including large industrial complexes formed by the process of the growth-oriented industrialization in the past have been attributed to worsening the urban competitiveness of cities due to their infrastructure shortages and aging. Government-led regeneration projects for old industrial complexes have been implemented on a trial basis, but there is a problem with applying a uniform regeneration planning to all the regional industrial complexes with different circumstances and physical environments. In this context, this study diagnosed the social conditions and physical characteristics of the Sasang industrial area in the city of Busan formed by private-led projects in the past and then tried to suggest its regeneration directions. The study area was characterized as its weakening industrial function, infrastructure shortage, and increasing development pressure. Based on these regional characteristics, the regeneration directions were suggested. In the planning phase, pubic-led infrastructure expansion is first needed and urban renewal needs to be applied to some areas designated as priority maintenance areas. In the implementation phase, stepwise projects are required in the medium to long term and it is important to build upon the consensus with private companies through establishing collaborative governance.

A Study of Maintenance Method by Monitoring and Evaluation of Water Friendly Facilitiesin Urban Streams - A Case Study of Jeonjucheon in Jeonju-si - (하천친수시설의 모니터링과 평가를 통한 유지관리방안 연구 - 전주천을 중심으로 -)

  • Lim, Hyunjeong;Jeong, Moonsun
    • Journal of Environmental Impact Assessment
    • /
    • v.28 no.3
    • /
    • pp.263-274
    • /
    • 2019
  • The purpose of this study is to examine a monitoring method, management zones, and maintenance strategies for water friendly facilities in urban streams after the completion of ecological restoration projects. Maintenance monitoring items are composed of 'use space& facilities', 'trails& bike roads', 'access', and 'boards'. The evaluation standards of water friendly facilities are 'maintenance conditions', 'safety', and 'usage level' which are rated as 'good', 'moderate', and 'poor'. Through a field survey and evaluation of 15 stream sections in Jeonjucheon,the management levels of each water friendly facility are determined as 'priority maintenance', 'general maintenance', 'maintain/remove', and 'remove'. Based on the evaluation results, management zones and maintenance strategies are proposed for each stream section. As a results, the stream sections of J2, J3, J4, and J9 which have 5 to 9 facilities with 'priority maintenance' are determined as 'intensive management zone'. The stream sections of J5, J6, J7, J8, J11, and J14 which have 1 to 3 facilities with 'priority maintenance' are determined as 'regular management zone'. The stream sections of J1, J10, J12, J13, and J15 which have no facilities with 'priority maintenance' are determined as 'minimum management zone'. The process of monitoring & evaluation system and determining management zones can be applied to establish a systematic maintenance plan for water friendly facilities by participation of governance in the future.

Process, Governance, and Performance of Creative-City Related Policies of Suncheon City, Korea (순천시 창조도시 관련정책의 추진과정, 거버넌스, 성과)

  • Lee, Jeong-Rock
    • Journal of the Economic Geographical Society of Korea
    • /
    • v.19 no.4
    • /
    • pp.660-676
    • /
    • 2016
  • The Suncheon city has new city image and brand as eco & garden city in national wide. This paper reviews the process, governance, and performance of creative-city related policy in Suncheon city, Korea. The new city image and brand, eco & garden city, were as a result of the related urban policies and its efforts to reserve and utilize the Suncheon Bay Wetland such as the establishment of Green Suncheon 21, the Reed Festival of Suncheon Bay, the ecological park creation projects for Suncheon Bay Wetland, the ICEXPO 2013, and the Suncheon Bay National Garden since 1995. The Dongsa Research Institute has been played very import roles in the process of civic movement for Suncheon Bay Wetland reservation. After holding the ICEXPO 2013, the Suncheon city has achieved various performances such as new city image and brand, the Suncheon Bay National Garden, social and physical infrastructure to pursue future creative-city related policies.

Cities as Place for Climate Mitigation and Adaptation: A Case Study of Portland, Oregon, USA (기후완화와 적용의 장소로서의 도시 - 미국 오레건주 포트랜드시 사례연구 -)

  • Chang, Hee-Jun;House-Peters, Lily
    • Journal of the Korean Geographical Society
    • /
    • v.45 no.1
    • /
    • pp.49-74
    • /
    • 2010
  • Cities are major sources of greenhouse gas emissions but also suitable places for implementing proactive climate mitigation and adaptation strategies. Based on the interdisciplinary review of literature, we categorize the current discussion about urban climate mitigation and adaptation planning, policy and practices into four perspectives - sustainability science, global change science, multilevel governance, and structural engineering. While these four schools of thought have distinct perspectives rooted in different disciplinary lenses, our synthesis of the literature identifies several universal themes that are common to all of the perspectives in the context of combating threats posed by climate change. The Portland case study illustrates that a city can make changes to reduce greenhouse gas emissions and increase adaptive capacity to climate change impacts by implementing smart growth, devising local climate action plans that target emission reductions in various sectors, recognizing the interactions and influences of multiple scales of governance, and supporting the installation of various green infrastructures that contribute to green economy. Furthermore, a university can serve as a hub in this climate mitigation and adaptation arena by connecting various levels of community organizations in both public and private sectors, creating innovative research centers and spatially explicit green infrastructure, designing impact assessments and campus carbon inventories, and engaging students and the larger community through service learning.

A Study on Automatic Classification of Newspaper Articles Based on Unsupervised Learning by Departments (비지도학습 기반의 행정부서별 신문기사 자동분류 연구)

  • Kim, Hyun-Jong;Ryu, Seung-Eui;Lee, Chul-Ho;Nam, Kwang Woo
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.21 no.9
    • /
    • pp.345-351
    • /
    • 2020
  • Administrative agencies today are paying keen attention to big data analysis to improve their policy responsiveness. Of all the big data, news articles can be used to understand public opinion regarding policy and policy issues. The amount of news output has increased rapidly because of the emergence of new online media outlets, which calls for the use of automated bots or automatic document classification tools. There are, however, limits to the automatic collection of news articles related to specific agencies or departments based on the existing news article categories and keyword search queries. Thus, this paper proposes a method to process articles using classification glossaries that take into account each agency's different work features. To this end, classification glossaries were developed by extracting the work features of different departments using Word2Vec and topic modeling techniques from news articles related to different agencies. As a result, the automatic classification of newspaper articles for each department yielded approximately 71% accuracy. This study is meaningful in making academic and practical contributions because it presents a method of extracting the work features for each department, and it is an unsupervised learning-based automatic classification method for automatically classifying news articles relevant to each agency.