Housing exchange framework to reduce carbon emissions from commuting

Prevailing strategies for commuting efficiency focus predominantly on land-use and transportation policies, whereas research on the environmental benefits of housing reallocation strategies to mitigate excess commuting remains critically underexplored. Here this study proposes an information-enabled housing exchange framework and quantifies the potential reduction of commuting-related carbon emissions it can achieve. Leveraging housing and travel survey data from Beijing (n = 2,032), Munich (n = 3,131) and Singapore (n = 7,418), at the household level, our analysis reveals that commuting distances could be reduced by approximately 10.49%–12.70%, corresponding to CO2 emissions reductions of 11.33%, 12.09% and 13.42%, respectively. Crucially, strategic relocation of the households with the 5% highest carbon reduction potential could yield more than 50% of total achievable emissions reduction. These results demonstrate that enhancing housing market efficiency through information transparency can generate substantial environmental co-benefits. The integration of conventional policies with this approach would enable a viable pathway to sustainable urban development. Little is known about the environmental benefits of housing reallocation. This study fills the gap, presenting an information-enabled housing exchange framework that, in the case of Beijing, Munich and Singapore, could substantially reduce the carbon emissions from commuting.

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Publication Details

Journal
Nature Sustainability
Published
2025-10-16
DOI
https://doi.org/10.1038/s41893-025-01658-x
Primary Topic
Urban Transport and Accessibility
Type
article
Field-Weighted Citation Impact
0.00

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article

Housing exchange framework to reduce carbon emissions from commuting

Jinhua Zhao, Baichuan Mo, Juanjuan Zhao, Nicholas S. Caros
Nature Sustainability
Urban Transport and Accessibility
article

Housing exchange framework to reduce carbon emissions from commuting

Jinhua Zhao, Baichuan Mo, Juanjuan Zhao, Nicholas S. Caros
article en

Abstract

Prevailing strategies for commuting efficiency focus predominantly on land-use and transportation policies, whereas research on the environmental benefits of housing reallocation strategies to mitigate excess commuting remains critically underexplored. Here this study proposes an information-enabled housing exchange framework and quantifies the potential reduction of commuting-related carbon emissions it can achieve. Leveraging housing and travel survey data from Beijing (n = 2,032), Munich (n = 3,131) and Singapore (n = 7,418), at the household level, our analysis reveals that commuting distances could be reduced by approximately 10.49%–12.70%, corresponding to CO2 emissions reductions of 11.33%, 12.09% and 13.42%, respectively. Crucially, strategic relocation of the households with the 5% highest carbon reduction potential could yield more than 50% of total achievable emissions reduction. These results demonstrate that enhancing housing market efficiency through information transparency can generate substantial environmental co-benefits. The integration of conventional policies with this approach would enable a viable pathway to sustainable urban development. Little is known about the environmental benefits of housing reallocation. This study fills the gap, presenting an information-enabled housing exchange framework that, in the case of Beijing, Munich and Singapore, could substantially reduce the carbon emissions from commuting.

Nature SustainabilityVol. 8(11)
Massachusetts Institute of Technology (US), Capital Normal University (CN), Tsinghua University (CN)
National Research Foundation, National Natural Science Foundation of China, Technische Universität München
Openalex Percentile: Top 70%
Urban Transport and Accessibility
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Housing exchange framework to reduce carbon emissions from commuting — Jinhua Zhao, Baichuan Mo, et al. · Nature Sustainability (2025) | TGRS Research Map | TGRS