Zhenyu Mei , Jinrui Gong , Chi Feng , Liang Kong , Zhen Zhu
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引用次数: 0
Abstract
Many cities around the world have developed Transit-oriented development (TOD) based on subway systems, expecting to alleviate problems such as carbon emissions and pollution in the transportation sector. Although previous studies have proved the contributions to mitigate congestion and carbon emission pressure, there is a lack of evaluation on whether TOD can promote green mode choice and effectively reduce carbon emissions of first/last-mile trips in existing studies. This study aims to verify that subway stations with high TOD levels have a positive effect on reducing the carbon emissions of first/last-mile trips. We evaluate subway stations in Hangzhou and classify them into two categories based on their TOD levels. Then the carbon emission of ten typical subway stations is calculated based on survey data of first/last-mile trips and empirical formula. The nested logit model (NL) is used to analyze the correlation between the choice of first/last-mile mode and personal and environmental factors. The case results show that subway stations with a higher TOD level usually exhibit higher daily passenger flows (increased by approximately two-fold) and lower per capita carbon emissions (reduced by approximately 70 %). These findings proved that the high TOD level has a positive impact on carbon emissions of subway first/last mile trips, which could provide data support and insights for TOD development, especially in developing countries.
世界上许多城市都在地铁系统的基础上开发了公交导向型开发(TOD),期望缓解交通领域的碳排放和污染等问题。虽然之前的研究已经证明了 TOD 在缓解交通拥堵和碳排放压力方面的贡献,但现有研究中缺乏对 TOD 是否能促进绿色出行方式选择、有效减少首末站碳排放的评估。本研究旨在验证高 TOD 水平的地铁站对减少首末驶里程碳排放有积极作用。我们对杭州的地铁站进行了评估,并根据其 TOD 水平将其分为两类。然后,根据首末驶里程调查数据和经验公式计算出十个典型地铁站的碳排放量。采用嵌套对数模型(NL)分析首末站出行方式选择与个人和环境因素之间的相关性。案例结果表明,TOD 水平较高的地铁站通常会表现出较高的日客流量(增加约两倍)和较低的人均碳排放量(减少约 70%)。这些研究结果证明,较高的 TOD 水平对地铁首末驶程的碳排放有积极影响,可为 TOD 开发提供数据支持和启示,尤其是在发展中国家。
期刊介绍:
Travel Behaviour and Society is an interdisciplinary journal publishing high-quality original papers which report leading edge research in theories, methodologies and applications concerning transportation issues and challenges which involve the social and spatial dimensions. In particular, it provides a discussion forum for major research in travel behaviour, transportation infrastructure, transportation and environmental issues, mobility and social sustainability, transportation geographic information systems (TGIS), transportation and quality of life, transportation data collection and analysis, etc.