Publicação
Exploring city mobility through travel diaries: a non-negative tensor factorization approach
| Resumo: | In the EU 64% of everyday people's transport is made by private vehicles (Palm, 2022.), but that leads to today's CO2 emissions of private road vehicles being responsible for 74% of all emissions related to transport (IEA. 2020). That's why there should be an effort to enhance the usage of public transportation, which was agreed upon by all the EU members who signed the Green New Deal (European Environment Agency, 2021). In this research, the status of the public transit network will be explored, and the pain points will be exploited to recognize the necessary changes required to facilitate this shift. This will be done using a non-negative tensor factorization approach which will help to better understand complex and multidimensional travel diaries. |
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| Autores principais: | Cukrov, Nevena |
| Assunto: | Travel diary Tensor factorization Mobility patterns Non-negative Tucker Non-negative PARFAC SDG 11 - Sustainable cities and communities |
| Ano: | 2024 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade Nova de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório Institucional da UNL |
| Resumo: | In the EU 64% of everyday people's transport is made by private vehicles (Palm, 2022.), but that leads to today's CO2 emissions of private road vehicles being responsible for 74% of all emissions related to transport (IEA. 2020). That's why there should be an effort to enhance the usage of public transportation, which was agreed upon by all the EU members who signed the Green New Deal (European Environment Agency, 2021). In this research, the status of the public transit network will be explored, and the pain points will be exploited to recognize the necessary changes required to facilitate this shift. This will be done using a non-negative tensor factorization approach which will help to better understand complex and multidimensional travel diaries. |
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