Crowdfunding in Transport Innovation and Sustainability: A Literature Review and Future Directions
交通イノベーションと持続可能性におけるクラウドファンディング：文献レビューと将来の方向性 (AI 翻訳)
Marta Mańkowska, Dominika Kordela, Monika Pettersen-Sobczyk
🤖 gxceed AI 要約
日本語
本論文は、クラウドファンディングが持続可能な交通イノベーションの資金調達に果たす役割を文献レビューと書誌分析により検討。3つの主要研究領域（持続可能性と金融、フィンテックとブロックチェーン、経営と消費者行動）と5つのプロジェクト類型（大規模インフラ、持続可能な地域モビリティ、革新スタートアップ、新ビジネスモデル、先端システム技術）を特定。低炭素移行の促進手段としてのクラウドファンディングの可能性と、投資家保護や規制上の課題を指摘。
English
This literature review and bibliometric analysis examines crowdfunding as a financing mechanism for sustainable transport innovation. It identifies three core research areas: sustainability and finance, fintech and blockchain, and management and consumer behavior; and proposes a typology of five crowdfunded transport project categories: large-scale infrastructure, sustainable local mobility, innovative start-ups, new business models, and advanced systems. The study highlights crowdfunding's potential to enable low-carbon transition while noting challenges such as investor protection and the need for sandbox regulation.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では交通分野へのクラウドファンディング活用はまだ限定的だが、GX推進における新たな資金調達手段として注目される。特に、PPPと組み合わせたハイブリッド型や規制サンドボックス制度の活用が、日本における鉄道・バス等の脱炭素化に寄与する可能性がある。
In the global GX context
This paper positions crowdfunding as a complementary financing tool for sustainable transport, aligning with global climate strategies like the EU Green Deal and SDGs. It offers a framework for policymakers and practitioners to integrate digital finance into transition finance, emphasizing the need for investor protection and regulatory innovation.
👥 読者別の含意
🔬研究者:Provides a structured typology and research agenda for studying crowdfunding in sustainable transport finance.
🏢実務担当者:Highlights crowdfunding as a viable option for early-stage transport innovations and suggests business models for platform operators.
🏛政策担当者:Recommends sandbox regulation, standardized risk assessment, and PPP-crowdfunding hybrids to unlock sustainable transport funding.
📄 Abstract（原文）
Sustainable transport innovation often faces funding gaps, as traditional public and private sources rarely support early-stage or high-risk initiatives. Crowdfunding, enabled by digital transformation, is emerging as a complementary financing mechanism for this sector. This study presents a literature review combined with bibliometric mapping to examine the evolving research landscape on crowdfunding in transport. Three research questions guide the analysis: RQ1—What are the dominant research areas at the intersection of crowdfunding and transport? RQ2—What types of transport projects are financed via crowdfunding? RQ3—What research gaps and future directions emerge for transport innovation financing? Findings reveal three core research areas: (1) Sustainability and finance, (2) Fintech and blockchain, and (3) Management and consumer behavior. We propose a typology of crowdfunded transport projects comprising five categories: (1) Large-scale transport infrastructure, (2) Sustainable local mobility, (3) Innovative start-ups, (4) New business models, and (5) Advanced systems and technologies. This demonstrates crowdfunding’s versatility beyond traditional infrastructure, supporting high-risk innovations critical for decarbonization and technological transformation. The study highlights domain-specific challenges—such as integrating PPP models with digital finance and ensuring investor protection—and emphasizes crowdfunding’s role as an enabler of low-carbon transition aligned with global climate strategies (EU Green Deal, SDGs). Despite its potential, investor safety remains a major concern. Policy implications include sandbox regulation, standardized risk assessment, and operationalizing PPP–crowdfunding hybrids to unlock large-scale and innovative transport projects.
🔗 Provenance — このレコードを発見したソース
- openaire https://doi.org/10.3390/su18020576first seen 2026-05-14 21:47:29
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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。