スイスの旅客輸送における移動時間とその価値評価がモーダルシフトに与える影響の定量化
Quantifying the impact of travel time duration and valuation on modal shift in Swiss passenger transportation (原題)
Luh, Sandro, id_orcid:0 000-0003-0647-1447, Kannan, Ramachandran, McKenna, Russell, Schmidt, Thomas, Kober, Tom
🤖 gxceed AI 要約
日本語
本研究は、スイスのエネルギーシステムモデル(STEM)に移動時間とその価値評価を組み込み、旅客輸送の脱炭素化におけるモーダルシフトの影響を定量化した。高速道路の速度制限や公共交通の高速化により、公共交通需要が5〜10%増加し、重貨物トラックの電化需要が11%、水素需要が34%削減される。一方、移動時間よりもコストを重視する場合、EV需要が増加し、追加の充電インフラが必要となる。
English
This study integrates travel time duration and valuation into the Swiss TIMES Energy system Model (STEM) to quantify modal shift impacts in passenger transport decarbonization. Policies like highway speed limits and faster public transport can shift demand towards PT by 5-10%, reducing heavy-duty truck electrification by 11% and hydrogen demand by 34% by 2050. If travelers prioritize cost over time, EV demand increases by 13% in 2040 and 6% in 2050, requiring 45,000 additional 22 kW public chargers.
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
日本の運輸部門の脱炭素化政策(次期エネルギー基本計画や国土交通省の取り組み)において、モーダルシフトとEV普及のバランスを検討する際に参考になる。特に、高速道路の速度規制や公共交通の利便性向上が、エネルギーシステム全体に与える波及効果を定量的に示しており、日本の政策立案に示唆を与える。
In the global GX context
This study provides quantitative evidence on how transport policies (speed limits, PT investment) affect modal shift and energy system outcomes, relevant for global climate policy. It highlights trade-offs between PT promotion and EV adoption, informing integrated transport and energy planning under net-zero targets.
👥 読者別の含意
🔬研究者:Provides a novel integration of travel time valuation into an ESOM, offering a methodological framework for transport-energy modeling.
🏢実務担当者:Useful for transport planners and energy utilities to understand the system-wide impacts of speed policies and EV charging infrastructure needs.
🏛政策担当者:Informs transport decarbonization policies by quantifying the effects of speed limits and PT improvements on modal shift and energy demand.
📄 Abstract(原文)
Decarbonizing the passenger transportation sector is critical for climate change mitigation. Existing studies on net-zero scenarios using Energy System Optimization Models (ESOM) often overlook non-monetary aspects of consumers' mobility choices but primarily focus on cost aspects. This study incorporates consumers' travel time duration and valuation, and an endogenous modal shift option into the Swiss TIMES Energy system Model (STEM). STEM is applied in a multi-objective optimization framework to quantify the impacts of faster Public Transport (PT) and slower car speeds on modal shifts in the transport sector's transformation. Similarly, we assess scenarios where consumers weigh travel time less, reflecting improved travel productivity. The results show that speed variations on medium- and long-distance trips, which can be interpreted as policies for highway speed limits and more efficient PT, can induce modal shifts towards 5–10% higher PT demand. Its implied secondary effects across the energy system include a reduced need for electrification of heavy-duty trucks by 11% and a decrease in hydrogen demand in road transportation by 34% by 2050. If travelers weigh costs over travel time, PT becomes less competitive against cars. Thus, electric vehicles (EVs) need to play a more dominant role in decarbonization, with a demand increase of 13% in 2040 (+9.2 billion passenger kilometer (bpkm)) and 6% in 2050 (+5.0 bpkm), along with the need for additional 45,000 public chargers of 22 kW size. Policy implications include the emphasis on improved PT speeds, speed limits on highways, needs to achieve more widespread EV adoption, and the need for balancing travelers' decision factors when aiming for reduced transport CO2 emissions. ; ISSN:0306-2619 ; ISSN:1872-9118 ; ISSN:1872-9118
🔗 Provenance — このレコードを発見したソース
- base https://hdl.handle.net/20.500.11850/647859first seen 2026-09-01 11:59:54
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