Journal: Transportation Research Part D: Transport and Environment

Abbreviation

Transp. Res., Part D Transp. Environ.

Publisher

Elsevier

Journal Volumes

ISSN

1361-9209
1879-2340

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Publications1 - 10 of 47
  • Effect of waste materials on acoustical properties of semi-dense asphalt mixtures
    Item type: Journal Article
    Poulikakos, Lily D.; Athari, Sahand; Mikhailenko, Peter; et al. (2022)
    Transportation Research Part D: Transport and Environment
    Among the urban societal burdens rolling noise generation from tire pavement interaction and urban waste stand apart. Many urban waste materials can be used in pavements with comparable mechanical performance. Noise-related pavement characteristics such as porosity, sound absorption and surface texture, were measured for semi-dense low noise pavement mixtures using urban waste materials namely: recycled concrete aggregates, crumb rubber, polyethylene terephthalate and polyethylene. The results show that the use of these materials is a viable sustainable option for low noise pavements, however that may affect the noise reduction properties. With values around 0.2 at 1000 Hz, the sound absorption of all the mixtures is relatively low and the use of mean profile depth (MPD) alone is not enough to characterize the noise reduction properties. Surface texture was altered in different degrees depending on the waste material used. The results presented can aid in policy pertaining to noise abatement and waste reduction.
  • Evaluating bird collision risk of a high-speed railway for the crested ibis
    Item type: Journal Article
    Hu, Han; Tang, Junqing; Wang, Yi; et al. (2020)
    Transportation Research Part D: Transport and Environment
    We evaluate the bird-train collision risk associated with a recent high-speed railway project for the crested ibis (Nipponia nippon) and other local bird species in the Qinling Mountains, China. Using ground-walked line transect surveys, we surveyed the population abundance, distance to the railway bridge, and bridge-crossing behaviors of the birds in the study area. The results show that: (1) The crested ibis and the little egret (Egretta garzetta) were the two most abundant waterfowl species in the study area. The relative abundance index of these two species were about 43.33% and 42.75%, respectively; (2) 92.86% of the observed crested ibises were firstly detected within the range of 0 m to 25 m of the vicinity of the railway bridge; (3) The ratio between crossing over and under the railway bridge is about 7:3, which we found that crested ibises preferred flying over the bridge, but little egrets were more likely to cross the railway below the bridge. In the end, we recommend that, while the collision risk for the crested ibis could be low, protection structures, such as barrier poles or fences, should still be considered to avoid possible collisions of other co-habitants and promote conservation for multiple bird species in the area. © 2020 Elsevier Ltd
  • Measuring the car ownership impact of free-floating car-sharing
    Item type: Journal Article
    Becker, Henrik; Ciari, Francesco; Axhausen, Kay W. (2018)
    Transportation Research Part D: Transport and Environment
    Free-floating car-sharing schemes operate without fixed car-sharing stations, ahead reservations or return-trip requirements. Providing fast and convenient motorization, they attract both public transport users and (former) car-owners. Thus, their impact on individual travel behavior depends on the user type. Estimating the travel behavior impact of these systems therefore requires quantitative data. Using a two-wave survey approach (shortly after launch of the scheme plus one year later) including travel diaries, this research indicates that (due to their membership) 6 % of the free-floating car-sharing customers reduce their private vehicle ownership. Moreover, the results suggest that free-floating car-sharing both complements and competes with station-based car-sharing.
  • Optimization of the compressed natural gas (CNG) refueling station distribution
    Item type: Journal Article
    Frick, Martin; Axhausen, Kay W.; Carle, Gian; et al. (2007)
    Transportation Research Part D: Transport and Environment
  • Connecting metros with shared electric scooters: Comparisons with shared bikes and taxis
    Item type: Journal Article
    Ma, Qingyu; Xin, Yanan; Yang, Hong; et al. (2022)
    Transportation Research Part D: Transport and Environment
    The rapid rise of shared electric scooter (E-Scooter) systems offers urban areas a new micro-mobility solution. The focus on short-distance travel has made it a competitive option for addressing first-/last-mile travel needs. Nevertheless, its role as a first-/last-mile solution was understudied due to the lack of fine-grained trip data. This study aims at exploring the integration of shared E-Scooters with public transportation systems. Specifically, it compared the use of shared E-Scooters against shared bikes and taxis for connecting trips from/to metro stations. We analyzed massive amounts of trip-related data extracted through APIs. Multinomial logistic regression models were developed to uncover how the mode choices from/to metro stations vary in different contexts. The results show that the use of shared E-Scooters to connect trips from/to metro stations can be notably different from shared bikes and taxis. The preference of shared E-Scooters will vary depending on the land use and time period.
  • Fuel cell electric vehicles: An option to decarbonize heavy-duty transport? Results from a Swiss case-study
    Item type: Journal Article
    Çabukoglu, Emir; Georges, Gil; Küng, Lukas; et al. (2019)
    Transportation Research Part D: Transport and Environment
  • Changes in mode use after residential relocation: Attitudes and the built environment
    Item type: Journal Article
    Schimohr, Katja; Heinen, Eva; Næss, Petter; et al. (2025)
    Transportation Research Part D: Transport and Environment
    After changes in the spatial environment induced by residential relocations, mode choice is prone to reconsideration. This study analyzes a panel dataset of 661 movers in Germany who were questioned before and after a move. We aim to determine the relationships between changes in the built environment, in travel attitudes, and in mode choice, accounting for possibly bi-directional relationships. Structural equation models are estimated for four different modes (car, bike, walking, and public transport). We observe that changes in the built environment impact mode choice: After relocating to more urban locations, active mode use increases while car and – unexpectedly – public transport use decrease. Travel attitudes do not directly influence residential location choice, only indirectly via search preferences. There is limited evidence for residential determination as attitudes towards most travel modes remain stable. We only observe changes in walking attitudes in response to changes in the built environment.
  • Quantifying the impacts of non-recurrent congestion on workplace EV charging infrastructures
    Item type: Journal Article
    Kumar, Nishant; Wang, Yi; Chin, Jun Xing; et al. (2025)
    Transportation Research Part D: Transport and Environment
    The eco-friendliness of Electric Vehicles (EVs) depends significantly on the cleanliness of the electrical power used for EV-charging. As solar power generation capacity increases, workplace charging during peak solar insolation is set to increase. Smart-charging algorithms at the workplace help optimise charging schedules based on historical EV arrivals. Challenges emerge when non-recurrent congestion results in concurrent arrivals at charging stations when congestion is cleared. We couple a traffic simulator and an EV charging simulator to assess the impact of such concurrent arrivals. Using the case study of Minneapolis, we found up to 27% increase in Time-Of-Use (TOU) costs. Nevertheless, timely access to accident information shows significant cost-mitigation potential (by more than 50%). The findings lead us to policy recommendations for workplace EV charging to increase the attractiveness of commute EVs. We argue in favour of faster chargers, additional charging capacity installation, and co-optimisation with building loads to reduce the surprise costs.
  • Impact of data processing on deriving micro-mobility patterns from vehicle availability data
    Item type: Journal Article
    Zhao, Pengxiang; Haitao, He; Li, Aoyong; et al. (2021)
    Transportation Research Part D: Transport and Environment
    Vehicle availability data is emerging as a potential data source for micro-mobility research and applications. However, there is not yet research that systematically evaluates or validates the processing of this emerging mobility data. To fill this gap, we propose a generally applicable data processing framework and validate its related algorithms. The framework exploits micro-mobility vehicle availability data to identify individual trips and derive aggregate patterns by evaluating a range of temporal, spatial, and statistical mobility descriptors. The impact of data processing is systematically and rigorously investigated by applying the proposed framework with a case study dataset from Zurich, Switzerland. Our results demonstrate that the sampling rate used when collecting vehicle availability data has a significant and intricate impact on the derived micro-mobility patterns. This research calls for more attention to investigate various issues with emerging mobility data processing to ensure its validity for transportation research and practices.
  • Spatial heterogeneity in distance decay of using bike sharing: An empirical large-scale analysis in Shanghai
    Item type: Journal Article
    Gao, Kun; Yang, Ying; Li, Aoyong; et al. (2021)
    Transportation Research Part D: Transport and Environment
    Distance decay is a vital aspect for modeling spatial interactions of human movements and an indispensable input for land use planning and travel demand prediction models. Although many studies have investigated the usage demand of bike-sharing systems in an area, research investigating the distance decay patterns of using dockless bike-sharing systems (DLBS) from a spatially heterogeneous perspective based on large-scale datasets is lacking. This study firstly utilizes massive transaction record data from DLBS in Shanghai of China and online map navigator Application Programming Interface to empirically estimate the distance decay patterns of using DLBS and reveal the spatial heterogeneity in distance decay of using DLBS across different urban contexts. Afterward, this study examines the mechanism of spatial heterogeneity in distance decay, leveraging multiple data resources including Point of Interest (POI) data, demographic data, and road network data. The associations among the distance decay of using DLBS with built environment factors are investigated by multiple linear regression. Results indicate that factors such as population density, land use entropy, branch road density, and metro station density are significantly related to larger distance decay of using DLBS, while factors such as commercial land use ratio, industrial land use ratio, and motorway density are significantly linked to smaller distance decay in Shanghai. Lastly, we further employ an adaptative geographically weighted regression to investigate the spatial divergences of the influences of built environment factors on distance decay. Results reveal notably distinct and even inverse influences of a built environment factor on the distance decay of using DLBS in different urban contexts. The findings provide insights into the distance decay patterns of using DLBS in different urban contexts and their interactions with the built environment, which can support accurate planning and management of sustainable DLBS as per specific urban characteristics.
Publications1 - 10 of 47