Study on the relationship between built environment elements and motor vehicle emissions

Baozhen YAO; Dongxuan BAI; Rui FENG; Yongjie XUE; Xiaokai ZHANG

doi:10.3981/j.issn.1000-7857.2024.04.00318

Baozhen YAO, Dongxuan BAI, Rui FENG, Yongjie XUE, Xiaokai ZHANG

Science & Technology Review ›› 2025, Vol. 43 ›› Issue (6) : 57-64.

PDF(1004 KB)

Science & Technology Review ›› 2025, Vol. 43 ›› Issue (6) : 57-64. DOI: 10.3981/j.issn.1000-7857.2024.04.00318

Exclusive: Green Building and Urban Governance

Study on the relationship between built environment elements and motor vehicle emissions

Author information -

1. School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China

2. School of Infrastructure Engineering, Dalian University of Technology, Dalian 116024, China

3. School of Transportation Science and Engineering, Beihang University, Beijing 100191, China

Key words

green and low-carbon / built environment / exhaust gas emission / comprehensive ensemble weighting method / emission influencing factors

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Baozhen YAO, Dongxuan BAI, Rui FENG, Yongjie XUE, Xiaokai ZHANG. Study on the relationship between built environment elements and motor vehicle emissions[J]. Science & Technology Review, 2025, 43(6): 57-64 https://doi.org/10.3981/j.issn.1000-7857.2024.04.00318

References

List( Publishing order | Descend order by publishing year | Descend order by cited within ) Chart analysis

1	谭伟, 赵晗雪. "碳达峰、碳中和"目标下金融支持资源型城市低碳转型路径探索——以鸡西市为例[J]. 黑龙江金融, 2023, 12: 28- 31. Cited in this article [1]

2	张贵香, 才瀚涛, 吴晓方, 等. 江西省县域级城市碳达峰路径分析[J]. 能源研究与管理, 2023, 4: 52- 57.

3	我国拟选择100个城市和园区开展碳达峰试点[J]. 市场瞭望, 2023, 21: 9. Cited in this article [1]

4	中国移动源环境管理年报(2023年)[Z]. 中华人民共和国生态环境部, 2023. Cited in this article [1]

5	Chen C , Feng T , Ding C , et al. Examining the spatial-temporal relationship between urban built environment and taxi ridership: Results of a semiparametric GWPR model[J]. Journal of Transport Geography, 2021, 96: 103172. https://doi.org/10.1016/j.jtrangeo.2021.103172 Cited in this article [1]

6	Yang L , Ao Y , Ke J , et al. To walk or not to walk?Examining non-linear effects of streetscape greenery on walking propensity of older adults[J]. Journal of Transport Geography, 2021, 94: 103099. https://doi.org/10.1016/j.jtrangeo.2021.103099

7	Thao V T , Ohnmacht T . The impact of the built environment on travel behavior: The Swiss experience based on two National Travel Surveys[J]. Research in Transportation Business and Management, 2020, 36: 100386. https://doi.org/10.1016/j.rtbm.2019.100386 Cited in this article [1]

8	Gilliland J , Maltby M , Xu X , et al. Influence of the natural and built environment on personal exposure to fine particulate matter (PM2.5) in cyclists using city designated bicycle routes[J]. Urban Science, 2018, 2(4): 120. https://doi.org/10.3390/urbansci2040120 Cited in this article [1]

9	Litjens G B M A , Worrell E , van Sark W G J H M . Lowering greenhouse gas emissions in the built environment by combining ground source heat pumps, photovoltaics and battery storage[J]. Energy&Buildings, 2018, 180: 51- 71. http://www.sciencedirect.com/science/article/pii/S0378778818320401

10	Shen Y S , Lin Y C , Cui S , et al. Crucial factors of the built environment for mitigating carbon emissions[J]. Science of the Total Environment, 2020, 806: 150864. http://www.sciencedirect.com/science/article/pii/S0048969721059428 Cited in this article [1]

11	Zhi D Y , Zhao H P , Chen Y , et al. Quantifying the heterogeneous impacts of the urban built environment on traffic carbon emissions: New insights from machine learning techniques[J]. Urban Climate, 2023, 53: 101765. http://dx.doi.org/10.1016/j.uclim.2023.101765 Cited in this article [1]

Song

, Zhang

, An

, et al. Quantifying the spillover elasticities of urban built environment configurations on the adjacent traffic CO₂ emissions in mainland China[J]. Applied Energy, 2021, 283: 116271.

http://econpapers.repec.org/article/eeeappene/v_3a283_3ay_3a2021_3ai_3ac_3as0306261920316615.htm

Cited in this article [1]

13	Wu J , Jia P , Feng T , et al. Spatiotemporal analysis of built environment restrained traffic carbon emissions and policy implications[J]. Transportation research, Part D: Transport and environment, 2023, 121: 103839. http://dx.doi.org/10.1016/j.trd.2023.103839 Cited in this article [1]

14	Zhao C Y , Tang J J , Zeng Y , et al. Understanding the spatiotemporally heterogeneous effects of built environment on urban travel emissions[J]. Journal of Transport Geography, 2023, 112: 103689. Cited in this article [1]

15	Feng R , Feng Q , Jing Z J , et al. Association of the built environment with motor vehicle emissions in small cities[J]. Transportation Research Part D: Transport and Environment, 2022, 107: 103313. http://dx.doi.org/10.1016/j.trd.2022.103313 Cited in this article [1]

16	张嵌玮, 杨柳, 汶靖宇. 市郊建成环境对居民出行行为及交通碳排放的影响——基于西安市130个社区的实证研究[C]//中国城市规划学会. 人民城市, 规划赋能——2023中国城市规划年会论文集(06城市交通规划). 西安: 西北大学城市与环境学院, 2023: 14. Cited in this article [1]

17	Aslam J, Lim S, Pan X, et al. City-scale traffic estimation from a roving sensor network[C]//Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems. Toronto, Canada: ACM. 2012: 141-154. Cited in this article [1]

18	Sun D , Zhang K , Shen S . Analyzing spatiotemporal traffic line source emissions based on massive DiDi online car-hailing service data[J]. Transportation Research Part D: Transport and Environment, 2018, 62: 699- 714. http://www.keyanzhidian.com/doc/detail?id=2035216483 Cited in this article [1]

19	沈岩, 武彤冉, 闫静, 等. 基于COPERT模型北京市机动车大气污染物和二氧化碳排放研究[J]. 环境工程技术学报, 2021, 11(6): 1075- 1082.

20	樊清清, 李梦月, 孙志超. 基于COPERT模型的广东省公路能耗与排放预测分析[J]. 交通节能与环保, 2022, 18(5): 40- 44. Cited in this article [1]