Sustainable Pathways: An Integrated Dynamic Network Eco‐Efficiency Approach to Evaluate Passenger Road Transportation
持続可能な経路：乗用車道路交通を評価する統合的動的ネットワークエコ効率アプローチ (AI 翻訳)
Saransh Tiwari, Sanjeet Singh, Utsav Pandey
🤖 gxceed AI 要約
日本語
本研究は、乗用車道路交通の環境効率を評価するため、動的ネットワークDEAと弱処分性参照技術を組み合わせた新たな枠組みを提案する。インドの州道運輸事業体（SRTU）に適用し、資本配分の非効率や価格規制の影響を特定。バス稼働率や委託バスの活用が効率向上に寄与することを示した。政策立案者にデータに基づく意思決定を可能にする洞察を提供する。
English
This study introduces a framework integrating dynamic network DEA with weak disposability reference technology to assess eco-efficiency of passenger road transport. Applied to Indian state transport undertakings, it identifies inefficiencies from capital misallocation and price controls, highlighting the role of bus utilization and hired buses in improving efficiency. Offers actionable policy insights for sustainable transport.
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
インドの道路交通を対象としているが、動的ネットワークDEAを用いた環境効率評価手法は、日本の交通機関や物流事業者の脱炭素化パフォーマンス評価にも応用可能。特に、資本配分や運営効率の改善による排出削減ポテンシャルを定量化する点で参考になる。
In the global GX context
While focused on India, this methodological framework offers a novel way to assess eco-efficiency in passenger road transport, integrating dynamic and network effects. It highlights how operational improvements (e.g., bus utilization) can reduce emissions, relevant for global transport decarbonization efforts, including those under TCFD/ISSB disclosure frameworks.
👥 読者別の含意
🔬研究者:Provides a novel integrated dynamic network DEA method with weak disposability that can be adapted to other transport systems and sectors for efficiency analysis.
🏢実務担当者:Offers a diagnostic tool for transport authorities to identify inefficiencies in bus fleet utilization and capital allocation, informing operational improvements.
🏛政策担当者:Delivers evidence on how price controls and capital misallocation affect transport efficiency, guiding subsidy and regulatory reforms for decarbonization.
📄 Abstract（原文）
Passenger road transport is a cornerstone of social connectivity and economic growth, providing essential mobility for millions while supporting trade, employment, and development. However, its environmental impact, particularly high emissions and energy consumption, presents a significant challenge for advancing sustainability, reducing carbon footprints, and fostering cleaner, more resilient environments. Addressing these concerns requires a comprehensive assessment of operational, economic, and environmental performance of transportation authorities. Yet, existing research treats passenger road transportation process as a “black‐box,” failing to capture their internal structures and multistage complexities. Also, conventional assessment frameworks often overlook undesirable outputs. Moreover, given the capital‐intensive nature of passenger road transportation units (PRTUs), single‐period optimization models may be inadequate for assessing long‐term efficiency. To bridge these gaps, this study introduces an innovative framework that integrates dynamic network data envelopment analysis with weak disposability reference technology. This approach evaluates PRTUs by accounting for both desirable and undesirable outputs while considering their network structure and temporal effects. Applying this framework to State Road Transport Undertakings (SRTUs) in India, we identify inefficiencies arising from capital misallocation and price controls. Empirical findings highlight the significant role of bus utilization and hired buses in enhancing SRTU efficiency, as demonstrated through fractional regression analysis. By offering a more nuanced understanding of PRTU performance, this study provides actionable insights for policymakers, enabling data‐driven decisions that enhance operational efficiency and promote sustainable transport systems.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1155/atr/7432179first seen 2026-05-15 17:30:38
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
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。