Stratified Assessment of Urban Low-Carbon Travel Potential
Non-motorised travel and public transportation travel are recognised as low-carbon travel modes, in contrast to car travel, which is considered a non-low-carbon option. Based on this, the paper proposes a stratified assessment method for the urban low-carbon travel potential. The proportion of the m...
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| Language: | English |
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University of Zagreb, Faculty of Transport and Traffic Sciences
2025-02-01
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| Series: | Promet (Zagreb) |
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| Online Access: | https://traffic2.fpz.hr/index.php/PROMTT/article/view/710 |
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| author | Keyuan DING Yan ZHANG Xu ZHOU Hai-Xu GUO Ran PENG |
| author_facet | Keyuan DING Yan ZHANG Xu ZHOU Hai-Xu GUO Ran PENG |
| author_sort | Keyuan DING |
| collection | DOAJ |
| description | Non-motorised travel and public transportation travel are recognised as low-carbon travel modes, in contrast to car travel, which is considered a non-low-carbon option. Based on this, the paper proposes a stratified assessment method for the urban low-carbon travel potential. The proportion of the motorised travel population that could potentially shift to non-motorised travel within the entire travel population is defined as the urban Tier 1 low-carbon travel potential. Meanwhile, the proportion of the car travel population that could potentially shift to public transportation travel within the entire travel population is defined as the urban Tier 2 low-carbon travel potential. This method holistically presents the potential for improvement in urban traffic carbon emission control. This method considers distance as a primary negative factor affecting the residents’ willingness to engage in non-motorised travel compared to motorised travel. Additionally, it recognises connection, delay and transfer as the main negative factors influencing the residents’ willingness for public transportation travel over car travel. By comparing the actual travel distances of residents and the actual intensity of connection, delay and transfer in public transportation travel modes with the assumed maximum acceptable distances and intensity for residents, the method identifies the number of people who could potentially shift to corresponding levels of low-carbon travel in hypothetical scenarios. Based on this, the corresponding low-carbon travel potential values are calculated. The method then further analyses the trend of these values as the residents’ acceptable thresholds for non-motorised travel distances and acceptable intensity for public transportation travel connection, delay and transfer change. A relationship curve is fitted, which intriguingly exhibits a reverse “S” shape, allowing for the identification of the “rapid release zone” and “key points” on the curve. These insights are essential for effectively targeting interventions to increase the adoption of low-carbon travel modes. This paper takes the cities of Shanghai and Wuhan in China as examples, conducting a stratified assessment of the low-carbon travel potential for both cities based on 19,732 daily travel origin– destination (OD) survey samples from residents. Additionally, the low-carbon travel potential of the two cities is visualised by district, enabling an analysis of the characteristics of low-carbon travel potential in each city and a comparison of the differences in low-carbon travel potential between them. |
| format | Article |
| id | doaj-art-e2421babea5a46caba18c0a8a18c1d57 |
| institution | Kabale University |
| issn | 0353-5320 1848-4069 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | University of Zagreb, Faculty of Transport and Traffic Sciences |
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| series | Promet (Zagreb) |
| spelling | doaj-art-e2421babea5a46caba18c0a8a18c1d572025-02-06T12:36:20ZengUniversity of Zagreb, Faculty of Transport and Traffic SciencesPromet (Zagreb)0353-53201848-40692025-02-0137120023210.7307/ptt.v37i1.710710Stratified Assessment of Urban Low-Carbon Travel PotentialKeyuan DING0Yan ZHANG1Xu ZHOU2Hai-Xu GUO3Ran PENG4Wuhan Institute of Technology, School of Civil Engineering and Architecture; Ministry of Education, Beijing Jiaotong University, Engineering Research Centre of Clean and Low-Carbon Technology for Intelligent TransportationTsinghua University, Department of Precision InstrumentWuhan Institute of Technology, School of Civil Engineering and ArchitectureWuhan University of Technology, School of Civil Engineering and ArchitectureWuhan Institute of Technology, School of Civil Engineering and Architecture; Wuhan University of Technology, School of Transportation and Logistics EngineeringNon-motorised travel and public transportation travel are recognised as low-carbon travel modes, in contrast to car travel, which is considered a non-low-carbon option. Based on this, the paper proposes a stratified assessment method for the urban low-carbon travel potential. The proportion of the motorised travel population that could potentially shift to non-motorised travel within the entire travel population is defined as the urban Tier 1 low-carbon travel potential. Meanwhile, the proportion of the car travel population that could potentially shift to public transportation travel within the entire travel population is defined as the urban Tier 2 low-carbon travel potential. This method holistically presents the potential for improvement in urban traffic carbon emission control. This method considers distance as a primary negative factor affecting the residents’ willingness to engage in non-motorised travel compared to motorised travel. Additionally, it recognises connection, delay and transfer as the main negative factors influencing the residents’ willingness for public transportation travel over car travel. By comparing the actual travel distances of residents and the actual intensity of connection, delay and transfer in public transportation travel modes with the assumed maximum acceptable distances and intensity for residents, the method identifies the number of people who could potentially shift to corresponding levels of low-carbon travel in hypothetical scenarios. Based on this, the corresponding low-carbon travel potential values are calculated. The method then further analyses the trend of these values as the residents’ acceptable thresholds for non-motorised travel distances and acceptable intensity for public transportation travel connection, delay and transfer change. A relationship curve is fitted, which intriguingly exhibits a reverse “S” shape, allowing for the identification of the “rapid release zone” and “key points” on the curve. These insights are essential for effectively targeting interventions to increase the adoption of low-carbon travel modes. This paper takes the cities of Shanghai and Wuhan in China as examples, conducting a stratified assessment of the low-carbon travel potential for both cities based on 19,732 daily travel origin– destination (OD) survey samples from residents. Additionally, the low-carbon travel potential of the two cities is visualised by district, enabling an analysis of the characteristics of low-carbon travel potential in each city and a comparison of the differences in low-carbon travel potential between them.https://traffic2.fpz.hr/index.php/PROMTT/article/view/710urban low-carbon travel potentialnon-motorised travelpublic transport travelconnectiondelaytransfer |
| spellingShingle | Keyuan DING Yan ZHANG Xu ZHOU Hai-Xu GUO Ran PENG Stratified Assessment of Urban Low-Carbon Travel Potential Promet (Zagreb) urban low-carbon travel potential non-motorised travel public transport travel connection delay transfer |
| title | Stratified Assessment of Urban Low-Carbon Travel Potential |
| title_full | Stratified Assessment of Urban Low-Carbon Travel Potential |
| title_fullStr | Stratified Assessment of Urban Low-Carbon Travel Potential |
| title_full_unstemmed | Stratified Assessment of Urban Low-Carbon Travel Potential |
| title_short | Stratified Assessment of Urban Low-Carbon Travel Potential |
| title_sort | stratified assessment of urban low carbon travel potential |
| topic | urban low-carbon travel potential non-motorised travel public transport travel connection delay transfer |
| url | https://traffic2.fpz.hr/index.php/PROMTT/article/view/710 |
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