Emission analysis of multi-mode public transportation based on joint choice model considering built environment factors

Chuyun Zhao, Jinjun Tang, Xiangxin Kong, Tianjian Yu and Zhitao Li

Energy, 2024, vol. 309, issue C

Abstract: Urban public transportation is crucial for achieving low-carbon cities but faces challenges due to urban planning and transportation coordination issues. This study introduces a joint decision model for multiple public transportation options, grounded in the cross-nested logit (CNL) framework, integrating departure time and travel mode dimensions. It combines three key variables—travel scheme, built environment, and carbon emissions—to assess transportation choices comprehensively. CO2 emissions are evaluated with the COPERT (COmputer Programme to calculate Emissions from Road Transport) model for accurate environmental impact assessments. Utilizing multi-source data from Shenzhen, including smart card, vehicle trajectory, and order data, the study evaluates factors influencing public transportation choices and compares emission reduction potentials. Results indicate that Shenzhen travelers are more sensitive to traffic and built environment service levels when choosing departure times rather than travel modes. The findings highlight the significant role of metros and shared bicycles in reducing emissions and suggest built environment adjustments to promote these low-carbon travel modes. Additionally, elasticity analysis and Monte Carlo simulations provide insights into future strategies under different emission reduction scenarios. These findings offer a theoretical basis and practical guidance for improving transportation structure and built environment, supporting the development of sustainable and low-carbon cities.

Keywords: Carbon emissions; Built environment; Joint choice; Cross-nested logit; COPERT (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544224028767
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:309:y:2024:i:c:s0360544224028767

DOI: 10.1016/j.energy.2024.133101

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().