Multimodality and CO2 emissions: A relationship moderated by distance

Heinen, Eva; Mattioli, Giulio

doi:10.1016/j.trd.2019.08.022

Cited by 38 publications

(16 citation statements)

References 33 publications

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“…1 For trips with more than one passenger we allocated emissions equally among passengers. Heinen and Mattioli (2019) argue that attributing all vehicle emissions to the driver might lead to an underestimation of the emissions of individuals who often travel as passengers, while equally assigning emissions among passengers entails a "leakage" of emissions, as some emissions are attributed to minors. As the sample in this study includes workers only, the choice was to allocate emissions equally among passengers.…”

Section: The Nts Survey and Ghg Emissionsmentioning

confidence: 99%

“…Finally, the total CO2 trip emissions were obtained by multiplying the trip distance 2 by the CO2 emission factor for each mode of transport. It is important to note that the NTS Survey provides CO2 emission factors derived from the Driver & Vehicle Licensing Agency (DVLA) dataset, as adopted by Heinen and Mattioli (2019). Nonetheless, the emission factors are not available for the majority of vehicles in the older waves of the survey, leading us to adopt the DECC & DEFRA CO2 conversion factors.…”

Section: The Nts Survey and Ghg Emissionsmentioning

confidence: 99%

“…Thus, the implementation of telework in companies could be accompanied by incentives to increase public transit use and multimodality. Multimodality should be studied carefully, though, since Heinen and Mattioli (2019) demonstrate its limited impacts in terms of CO2 emissions and environmental policies in the transport sector. The authors also demonstrate that multimodal trips tend to have higher CO2 emissions than unimodal trips.…”

Section: Policy Implicationsmentioning

confidence: 99%

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Does working from home reduce CO2 emissions? An analysis of travel patterns as dictated by workplaces

Cerqueira

Motte-Baumvol

Chevallier

et al. 2020

Transportation Research Part D: Transport and Environment

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This research provides new evidence about the relationship between travel behavior, workplace diversification, and environmental impact in the United Kingdom using data from the National Travel Survey for the period between 2002 and 2017. The path analysis approach based on SEM handles both direct and indirect effects and allows for a comprehensive study of travel behavior, trade-off effects, and work and non-work trips. The results suggest that workplace diversification is often reflected by longer average distances for work trips, which are often associated with more remote residential locations. Findings also show that for some categories, such as teleworkers and home-based workers, trade-off effects are observed between work and non-work trips, which increase CO2 emission levels. IntroductionA number of key developments have affected the labor market over recent decades. These include the increased participation of women in the labor force, the changing nature of the employer-employee relationship, and the growing role of information and communication technologies (ICT). These developments have tended to modify daily work patterns in terms of both time-schedules and workplace locations. The changes in the working day and, in particular, the diversification of workplaces (as with teleworking) may potentially contribute to a strategy for managing travel demand so as to reduce congestion and the negative environmental impacts of transportation such as greenhouse gas emissions (GHG). Nonetheless, studies of teleworking tend to identify a series of rebound effects, such as the trade-off between commuting and non-work trips, or residential relocation (Ory and Mokhtarian, 2006;Ravalet and Rerat, 2019). Although previous scholars have explored the impacts of telework on travel patterns, few studies have highlighted how other changes in the workplace, such as multiple work locations or home-based work (Mokhtarian and Henderson, 2000) might affect travel behavior.Commuting and business-related trips aside, the changes affecting workplaces also have significant effects on non-work trips. Work location and schedules play a structuring role in the daily activity program and are likely to affect other trip purposes as well, such as shopping, recreational, and health-related trips (Aguilera et al., 2009). On the one hand, a large proportion of individuals' non-work trips are undertaken in conjunction with work-related travel. On the other hand, the development of ICT increases the

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Section: The Nts Survey and Ghg Emissionsmentioning

confidence: 99%

Section: The Nts Survey and Ghg Emissionsmentioning

confidence: 99%

Section: Policy Implicationsmentioning

confidence: 99%

See 1 more Smart Citation

Does working from home reduce CO2 emissions? An analysis of travel patterns as dictated by workplaces

Cerqueira

Motte-Baumvol

Chevallier

et al. 2020

Transportation Research Part D: Transport and Environment

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“…An intermodal trip consists of more than one stage of transport, [1] using at least two different transport modes, lines, or operators [1][2][3][4][5][6] within a single trip or path [7]. Intermodal trips occur due to public transport's inability to support door-to-door services using a singular travel mode [8].…”

Section: Introductionmentioning

confidence: 99%

“…These facilities are considered more complex than conventional stations [27] because it also provides the physical integration of various means of transport [28] such as local or regional transport [29]. These complexities require planners to carefully evaluate the location and accessibility of these facilities to maximize the benefits [11,12] of intermodal travel, such as enhancing public transport use and reducing car dependence [24,[30][31][32], lowering CO 2 emissions when controlling travel distance [4], increasing passenger satisfaction [5], and promoting sustainable development [6]. Overall, users of the transport system will benefit from an integrated transport system because of the improvements in connectivity and convenience it brings.…”

Section: Introductionmentioning

confidence: 99%

Proximity Indexing of Public Transport Terminals in Metro Manila

2021

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Despite the extensive transit network in Metro Manila, intermodal connections between public transportation services are still fragmented. In response, authorities proposed various multimodal transport terminals around the periphery of the metropolis. However, there is a need to understand how these proposed terminals will impact existing transportation infrastructure and services as well as the current travel demand. This paper proposes a method that quantifies the nearness of any subject to any metric of interest, or in this case, the location of the terminal based on its proximity to existing transit supply and demand at different points in the transport network. It involves a simple methodology that requires only the spatial distribution of relevant transport planning data (e.g., public transport services, public transport passenger activity). It was found that the spatial distribution of the transport terminals in the study area is more closely related to the transit supply. Using the same methodology, several potential locations in Metro Manila (e.g., central terminal, terminal along a major junction) were assessed to see whether these are viable sites for a multimodal terminal. One scenario configuration was found to be better integrated with where trips start and/or end, while another seemed to improve integration of the existing railways.

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Towards User-Centric Transport in Europe 2

2020

Lecture Notes in Mobility

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Multimodality and CO2 emissions: A relationship moderated by distance

Cited by 38 publications

References 33 publications

Does working from home reduce CO2 emissions? An analysis of travel patterns as dictated by workplaces

Does working from home reduce CO2 emissions? An analysis of travel patterns as dictated by workplaces

Proximity Indexing of Public Transport Terminals in Metro Manila

Towards User-Centric Transport in Europe 2

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