Road to human-centric smart city governance in Japan: The case of Fujisawa sustainable smart town

IF 2.2 3区 社会学 Q1 INTERNATIONAL RELATIONS
Zhijian Wang
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Abstract

While the smart city literature extensively discusses the human-centric approach to smart city governance, empirical evidence remains limited. This study examines the practical applications of this approach and considers the remaining challenges, using the case of the Sustainable Smart Town of Fujisawa, Japan. It focuses on institutionalisation, organisational transformation, and public participation, highlighting the achievements and limitations of human-centric governance in this context. In Fujisawa, a practical approach to human-centric governance emerged to overcome bureaucratic barriers to implementing smart city initiatives. This includes formulating smart city policies tailored to the urban context and introducing institutional reforms in the local government; these allow the city to engage with multiple stakeholders and prioritise citizens' needs. However, several challenges persist, such as the limited competence of the local smart city department to drive a citywide initiative and limited governmental digitalisation. Furthermore, while public opinion is collected by certain advanced digital tools, there is no mechanism for stakeholder dialog or direct citizen participation in decision-making processes; this lack of engagement prevents the city from adequately addressing citizens' needs. Addressing these limitations is vital for achieving a human-centric approach in local smart city initiatives.

Abstract Image

日本以人为本的智慧城市治理之路:藤泽可持续智能城镇案例
尽管智慧城市文献广泛讨论了以人为本的智慧城市治理方法,但经验证据仍然有限。本研究以日本藤泽可持续智能城镇为例,探讨了这种方法的实际应用,并考虑了仍然存在的挑战。研究重点是制度化、组织变革和公众参与,强调在此背景下以人为本的治理所取得的成就和存在的局限性。在藤泽,出现了一种切实可行的以人为本的治理方法,以克服实施智慧城市倡议的官僚障碍。这包括制定适合城市背景的智慧城市政策,并在地方政府中引入机构改革;这些措施使城市能够与多个利益相关者合作,并优先考虑市民的需求。然而,一些挑战依然存在,如地方智慧城市部门推动全市性倡议的能力有限,以及政府数字化程度有限。此外,虽然某些先进的数字工具收集了公众意见,但却没有利益相关者对话或市民直接参与决策过程的机制;这种缺乏参与的情况阻碍了城市充分满足市民的需求。要在地方智慧城市倡议中实现以人为本的方法,解决这些局限性至关重要。
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来源期刊
Global Policy
Global Policy Multiple-
CiteScore
3.60
自引率
10.50%
发文量
125
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