Publications related to Fuel economy valuation and preferences of Indian two-wheeler buyers

Related publications (17)

Empirical investigation of lane usage, lane changing and lane choice phenomena in a multimodal urban arterial

Nikolaos Geroliminis, Emmanouil Barmpounakis, Jasso Espadaler Clapés

The combination of multimodal interactions, dynamic congestion and lane changing phenomena in an urban environment can have a strong impact on traffic flow dynamics, active road capacity and road safety. However, while there is a vast understanding of micr ...

PERGAMON-ELSEVIER SCIENCE LTD2023

Combining accelerometry with allometry for estimating daily energy expenditure in joules when in-lab calibration is unavailable

Kamiar Aminian, Pritish Chakravarty

Background All behaviour requires energy, and measuring energy expenditure in standard units (joules) is key to linking behaviour to ecological processes. Animal-borne accelerometers are commonly used to infer proxies of energy expenditure, termed 'dynamic ...

BMC2023

An evaluation of new particle formation events in Helsinki during a Baltic Sea cyanobacterial summer bloom

Lubna Dada

Several studies have investigated new particle formation (NPF) events from various sites ranging from pristine locations, including forest sites, to urban areas. However, there is still a dearth of studies investigating NPF processes and subsequent aerosol ...

Copernicus GmbH2022

Legacy and alternative halogenated flame retardants in Lake Geneva fish

Benoît Jean Dominique Ferrari

Legacy (i.e., polybrominated diphenyl ethers (PBDEs) and hexabromocyclododecane (HBCDD)) and alternative halogenated flame retardants (HFRs) were analyzed in 31 whole fish samples from Lake Geneva in 2018. Two fish species, namely, the burbot (Lota lota) a ...

2021

Techno-economic analysis and life cycle assessment of a biorefinery utilizing reductive catalytic fractionation

Jeremy Luterbacher

Reductive catalytic fractionation (RCF) is a promising approach to fractionate lignocellulose and convert lignin to a narrow product slate. To guide research towards commercialization, cost and sustainability must be considered. Here we report a techno-eco ...

2021

James J. Morgan: Special Tribute Issue

Janet Gordon Hering

AMER CHEMICAL SOC2021

The role of weather conditions in COVID-19 transmission: A study of a global panel of 1236 regions

Ru Li

It is believed that weather conditions such as temperature and humidity have effects on COVID-19 transmission. However, these effects are not clear due to the limited observations and difficulties in separating impact of social distancing. COVID-19 data an ...

ELSEVIER SCI LTD2021

Acidity and the multiphase chemistry of atmospheric aqueous particles and clouds

Athanasios Nenes

The acidity of aqueous atmospheric solutions is a key parameter driving both the partitioning of semi-volatile acidic and basic trace gases and their aqueous-phase chemistry. In addition, the acidity of atmospheric aqueous phases, e.g., deliquesced aerosol ...

Copernicus GmbH2021

Shockwave identification and critical parameter estimation using a detailed dataset from a swarm of drones

Nikolaos Geroliminis, Emmanouil Barmpounakis

In the era of big data, new transportation-related concepts and methodologies need to be proposed for understanding how congestion propagates. pNEUMA, a unique dataset that was acquired during a first-of-its-kind experiment with a swarm of drones over a de ...

2020

Upcycling of printed plastic films: LCA analysis and effects on the circular economy

Dimitrios Kyritsis

In this work, the environmental impacts caused by an innovative upcycling process of printed plastic scrap have been assessed through Life Cycle Analysis (LCA) methodology for the first time. The process consists of removing the inks from the plastic surfa ...

ELSEVIER SCI LTD2020

Bayesian modeling of brain function and behavior

Maya Anna Jastrzebowska

The application of Bayesian modeling techniques is increasingly common in neuroscience due to the coherent and principled way in which the paradigm deals with uncertainty. The Bayesian framework is particularly valuable in the context of complex, ill-posed ...

EPFL2020

Bayesian estimation of mixed multinomial logit models: Advances and simulation-based evaluations

Michel Bierlaire

Variational Bayes (VB) methods have emerged as a fast and computationally-efficient alternative to Markov chain Monte Carlo (MCMC) methods for scalable Bayesian estimation of mixed multinomial logit (MMNL) models. It has been established that VB is substan ...

PERGAMON-ELSEVIER SCIENCE LTD2020

Empirical analysis of large-scale multimodal traffic with multi-sensor data

Nikolaos Geroliminis, Nan Zheng

Recent advances in the network-level traffic flow modelling provide an efficient tool for analyzing traffic performance of large-scale networks. A relationship between density and flow at the network level is developed and widely studied, namely the macros ...

PERGAMON-ELSEVIER SCIENCE LTD2020

Fostering multidisciplinary research on interactions between chemistry, biology, and physics within the coupled cryosphere-atmosphere system

Julia Schmale, Markus Frey

The cryosphere, which comprises a large portion of Earth's surface, is rapidly changing as a consequence of global climate change. Ice, snow, and frozen ground in the polar and alpine regions of the planet are known to directly impact atmospheric compositi ...

2019

Effects of Ozone on the Photochemical and Photophysical Properties of Dissolved Organic Matter

Urs von Gunten, Frank Jonathan Leresche

This study focused on the effects of ozonation on the photochemical and photophysical properties of dissolved organic matter (DOM). Upon ozonation, a decrease in DOM absorbance was observed in parallel with an increase in singlet oxygen (O-1(2)) and fluore ...

AMER CHEMICAL SOC2019

Mitigating the impact of errors in travel time reporting on mode choice modelling

Michel Bierlaire, Aurélie Glerum, Giovanni Longo, Amanda Blomberg Stathopoulos, Silvia Francesca Varotto

Travel time is a major component in understanding travel demand. However, the quantification of demand and forecasting hinges on understanding how travel time is perceived and reported. Travel time reporting is typically subject to errors and this paper fo ...

Elsevier Sci Ltd2017

Predicting Individual Scores From Resting State fMRI Using Partial Least Squares Regression

Dimitri Nestor Alice Van De Ville, Stephan Morgenthaler, Djalel Eddine Meskaldji, Maria Giulia Preti, Thomas William Arthur Bolton

An important question in neuroscience is to reveal the relationship between individual performance and brain activity. This could be achieved by applying model regression techniques, in which functional connectivity derived from resting-state functional ma ...

Ieee2016