上海における建築環境とタクシー通勤炭素：強度ではなく量、そして低炭素都市計画のための定義的結合の罠

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:都市形態と交通炭素の因果チャネルを量と強度に分解し、最適化目的関数の定義的結合という方法論的落とし穴を提示する。

🏢実務担当者:EVタクシーや配送車両の空車走行削減と需要密度管理が排出削減に効く可能性を示す。

🏛政策担当者:都市計画のアクセシビリティ最適化で必須サービスを取引可能な目的としない設計原則を検討すべき。

Decarbonising urban passenger transport is central to China’s carbon-peaking commitments and to sustainable cities, yet through which channel the built environment shapes travel carbon remains contested. This study applies a geocomputational framework—from trajectory-based emission accounting to counterfactual optimisation—to morning- and evening-peak taxi commuting carbon across 1494 grid cells and 29 built-environment indicators in central Shanghai. Because the taxi fleet was predominantly new-energy (electric), the outcomes are internal-combustion-equivalent carbon; taxi travel is a self-selected minority of trips, so the associations show where taxi commuting occurs, not a mode-independent effect. Higher density is associated with higher total commuting emissions predominantly through more trips, not higher per-trip carbon. Distance to the second-nearest centre and public-service point-of-interest density are the leading predictors, and empty cruising—about half of fleet carbon—co-locates with commuting demand. The framework diagnoses a definitional-coupling trap in accessibility-based optimisation, where an objective built from the decision variables mechanically registers a trade-off, and supplies a construction audit. Associations are predictive, not causal. For low-carbon urban planning, the results point to trip generation and deadheading, rather than per-trip intensity, as the channels to act on; we recommend treating essential-service accessibility as a minimum requirement rather than a tradable objective.

• openalex https://doi.org/10.3390/su181910019first seen 2026-10-02 04:49:24