Zobrazeno 1 - 10
of 681
pro vyhledávání: '"modal-choice"'
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 27, Iss , Pp 101237- (2024)
Transportation inequality poses significant challenges in car-dependent cities in the US, especially for Transit-Dependent Populations (TDPs) who rely on public transportation to meet their travel requirements. Research indicates that despite the rap
Externí odkaz:
https://doaj.org/article/e8fb11993de548fe8aaa24d79f5d82ed
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 27, Iss , Pp 101223- (2024)
Commuter satisfaction with their chosen mode of transport significantly affects quality of life, well-being, and the sustainability of commuting practices. This study uses a fuzzy-hybrid TOPSIS approach, applied to data from seven functional urban ar
Externí odkaz:
https://doaj.org/article/44431d958a2e4f2cacbdb6123ffbe1df
Autor:
Nguyen Hoang-Tung, Hironori Kato, Hoang Thuy Linh, Hoang Van Cuong, Phan Le Binh, Shinichi Takeda
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 24, Iss , Pp 101069- (2024)
Ride-hailing services (RHS) are widely expected to serve as an alternative to conventional private transportation modes. However, numerous studies on RHS’s impact on private modes’ usage provide inconclusive evidence. Notably, few studies have an
Externí odkaz:
https://doaj.org/article/fd53626159bd4b9bb4299e5f360d3d56
Autor:
Abdul Shaban, Sanjukta Sattar
Publikováno v:
Urban, Planning and Transport Research, Vol 11, Iss 1 (2023)
ABSTRACTSocial and physical infrastructure development needs to catch up to population growth in cities of the Global South. The infrastructures are emerging in piecemeal ways following demand, be it housing, water supply, electricity, financial, edu
Externí odkaz:
https://doaj.org/article/f012569efdca476187b41326292ec619
Autor:
José E. Leal, Victor Parada
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 22, Iss , Pp 100947- (2023)
Demand estimation and forecasting is an essential step in urban passenger transport planning. Relating the factors that influence the modal choice behavior of individuals facilitates demand estimation. In this study, we develop machine learning model
Externí odkaz:
https://doaj.org/article/0f5f64795c5d41a8a29960407dbb099a
Publikováno v:
IATSS Research, Vol 47, Iss 1, Pp 73-83 (2023)
The COVID-19 pandemic has adversely affected the transportation sector, leading to a change in travel behavior. One of the most important responses of countries worldwide to slow the spread of the pandemic has been to restrict the movement of people,
Externí odkaz:
https://doaj.org/article/2e09aa68afa74746bdf4685a79471cd6
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Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 16, Iss , Pp 100725- (2022)
Background: Many cities are putting cycling at the centre of their sustainable transportation policies after the COVID pandemic. Cycling is seen as a desirable mode of transport in dense and compact areas and needs to be promoted accordingly. However
Externí odkaz:
https://doaj.org/article/dae81d87bb0c4176bb6d938b0307d791
Akademický článek
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