Stephane Hess
Biographic Data
| ID | 6328941 |
|---|---|
| NAME | Stephane Hess |
| GIVEN NAMES | Stephane |
| FAMILY NAME | Hess |
| SIGNATURE | HESS S |
| AFFILIATIONS | University of Leeds |
| ORCID | 0000-0002-3650-2518 |
| VERIFIED | Yes |
| TOTAL WORKS | 40 |
| TOTAL CITATIONS | 26 |
| AUTHOR COUNT | 38 |
| EDITOR COUNT | 2 |
| FIRST PUBLICATION YEAR | 2005 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
Modelling intermodal traveller behaviour in mega-city regions: Simultaneous versus sequential estimation frameworks
Keeping heritage relevant at a generational crossroad: Designing a choice experiment across local and global dimensions at a National Trust site
Heritage is at a generational crossroad, caught between preservation and reinvention, between the weight of history and the demands of an interconnected present. Heritage valuation has relied on straightforward measures, such as admission fees, visitor numbers, overlooking the broader cultural meanings that shape engagement across generations. This paper presents a stated preference survey enabling heritage research to deploy choice modelling in …
Taxing fat versus behavioural interventions: Multiple discrete–continuous extreme value (MDCEV) models and the PCSHOP randomized trial of shopping behaviour
Temporal stability of preferences: The case of Covid-19 vaccines in Australia and New Zealand
This paper introduces a novel two-level Latent Class (LC) structure to investigate the temporal stability of preferences, allowing individuals to switch classes over time. The model is used to investigate the temporal stability of COVID-19 vaccine preferences in Australia (AUS) and New Zealand (NZ) during 2020-2021. Through online experiments on vaccine choices, stated choice data is collected across three waves from the general population in bot…
Handbook of Choice Modelling: Second Edition
Choice modelling is an increasingly important technique for forecasting and valuation, with applications in fields such as transportation, health and environmental economics. For this reason it has attracted attention from leading academics and practitioners and methods have advanced substantially in recent years. This Handbook, composed of contributions from senior figures in the field, summarises the essential analytical techniques and discusse…
Uncovering the link between intra-individual heterogeneity and variety seeking: The case of new shared mobility
Preferences can vary both across respondents (i.e. inter-respondent preference heterogeneity) and across choice tasks within respondents (i.e. intra-respondent preference heterogeneity). Ignoring the existence of intra-respondent preference heterogeneity could bias preference elicitation and demand forecast. Thus far, most studies covering inter- and intra-respondent preference heterogeneity have applied the mixed multinomial logit model. Meanwhi…
Probabilistic choice set formation incorporating activity spaces into the context of mode and destination choice modelling
Understanding the constraints that individuals face during their spatial choices is important from a policy perspective. Such constraints, however, are often overlooked in the choice set generation process during model development. In order to address that gap, the current study proposes a probabilistic choice set formation based on Manski's framework assuming that the actual choice set of an individual is latent (unobserved). Though latent class…
Can competing demands affect pro-environmental behaviour: A study of the impact of exposure to partly related sequential experiments
Understanding the effects of travel demand management on metro commuters’ behavioural loyalty: A hybrid choice modelling approach
The path towards herd immunity: Predicting Covid-19 vaccination uptake through results from a stated choice study across six continents
Despite unprecedented progress in developing COVID-19 vaccines, global vaccination levels needed to reach herd immunity remain a distant target, while new variants keep emerging. Obtaining near universal vaccine uptake relies on understanding and addressing vaccine resistance. Simple questions about vaccine acceptance however ignore that the vaccines being offered vary across countries and even population subgroups, and differ in terms of efficac…
From mathematical models to policy design: Predicting greywater reuse scheme effectiveness and water reclamation benefits based on individuals’ preferences
Getting the best of both worlds: A framework for combining disaggregate travel survey data and aggregate mobile phone data for trip generation modelling
Traditional approaches to travel behaviour modelling primarily rely on household travel survey data, which is expensive to collect, resulting in small sample sizes and infrequent updates. Furthermore, such data is prone to reporting errors which can lead to biased parameter estimates and subsequently incorrect predictions. On the other hand, mobile phone call detail records (CDRs), which report the timestamped locations of mobile communication ev…
We want it all: Experiences from a survey seeking to capture social network structures, lifetime events and short-term travel and activity planning
VTT or VTTS: A note on terminology for value of travel time work
Assessing inter-urban freight mode choice preference for short-sea shipping in the Southern African Development Community region
Understanding differences in residential location preferences between ownership and renting: A case study of London
Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application
Travel demand modelling, data collection and well-being
New appraisal values of travel time saving and reliability in Great Britain
This paper provides an overview of the study ‘Provision of market research for value of time savings and reliability’ undertaken by the Arup/ITS Leeds/Accent consortium for the UK Department for Transport (DfT). The paper summarises recommendations for revised national average values of in-vehicle travel time savings, reliability and time-related quality (e.g. crowding and congestion), which were developed using willingness-to-pay (WTP) methods, …
Understanding valuation of travel time changes: Are preferences different under different stated choice design settings
Stated choice (SC) experiments are the most popular method to estimate the value of travel time changes (VTTC) of a population. In the simplest VTTC experiment, the SC design variables are time changes and cost changes. The levels of these variables create a particular setting from which preferences are inferred. This paper tries to answer the question "do preferences vary with SC settings?". For this, we investigate the role of the variables use…
A latent class model of residential choice behaviour and ethnic segregation preferences
The nature of ethnic residential clustering involves diverse population segments which through their location decisions influence the spatial patterns of ethnic settlements. While residential location is in part determined by outside constraints, choice plays a role too, making the study of preferences an important research topic. Along with differences in socio-economic characteristics, literature often emphasizes the role of unobserved (behavio…
Modelling trip generation using mobile phone data: A latent demographics approach
Impact of family in-home quality time on person travel demand
Changes in the ethnic composition of neighbourhoods: Analysis of household's response and asymmetric preference structures
Handbook of Choice Modelling
A latent class model of residential choice behaviour and ethnic segregation preferences
The nature of ethnic residential clustering involves diverse population segments which through their location decisions influence the spatial patterns of ethnic settlements. While residential location is in part determined by outside constraints, choice plays a role too, making the study of preferences an important research topic. Along with differences in socio-economic characteristics, literature often emphasizes the role of unobserved (behavio…
The path towards herd immunity: Predicting Covid-19 vaccination uptake through results from a stated choice study across six continents
Despite unprecedented progress in developing COVID-19 vaccines, global vaccination levels needed to reach herd immunity remain a distant target, while new variants keep emerging. Obtaining near universal vaccine uptake relies on understanding and addressing vaccine resistance. Simple questions about vaccine acceptance however ignore that the vaccines being offered vary across countries and even population subgroups, and differ in terms of efficac…
Understanding the formation and influence of attitudes in patients' treatment choices for lower back pain: Testing the benefits of a hybrid choice model approach
Understanding differences in residential location preferences between ownership and renting: A case study of London
Changes in the ethnic composition of neighbourhoods: Analysis of household's response and asymmetric preference structures
Incorporating needs-satisfaction in a discrete choice model of leisure activities
Airport, airline and access mode choice in the San Francisco Bay area
Probabilistic choice set formation incorporating activity spaces into the context of mode and destination choice modelling
Understanding the constraints that individuals face during their spatial choices is important from a policy perspective. Such constraints, however, are often overlooked in the choice set generation process during model development. In order to address that gap, the current study proposes a probabilistic choice set formation based on Manski's framework assuming that the actual choice set of an individual is latent (unobserved). Though latent class…
Can competing demands affect pro-environmental behaviour: A study of the impact of exposure to partly related sequential experiments
Modelling trip generation using mobile phone data: A latent demographics approach
Transport Projects, Programmes and Policies; Evaluation Needs and Capabilities
Airport, airline and access mode choice in the San Francisco Bay area
Flexible substitution patterns in models of mode and time of day choice: New evidence from the UK and the Netherlands
Random covariance heterogeneity in discrete choice models
Interactive stated choice surveys: A study of air travel behaviour
Using ordered attitudinal indicators in a latent variable choice model: A study of the impact of security on rail travel behaviour
Allowing for heterogeneous decision rules in discrete choice models: An approach and four case studies
Can scale and coefficient heterogeneity be separated in random coefficients models
A joint model for vehicle type and fuel type choice: Evidence from a cross-nested logit study
Assuring finite moments for willingness to pay in random coefficient models
It’s not that I don’t care, I just don’t care very much: Confounding between attribute non-attendance and taste heterogeneity
Making use of respondent reported processing information to understand attribute importance: A latent variable scaling approach
Handbook of Choice Modelling
Heterogeneity assumptions in the specification of bargaining models: A study of household level trade-offs between commuting time and salary
Incorporating needs-satisfaction in a discrete choice model of leisure activities
Understanding the formation and influence of attitudes in patients' treatment choices for lower back pain: Testing the benefits of a hybrid choice model approach
Impact of family in-home quality time on person travel demand
Changes in the ethnic composition of neighbourhoods: Analysis of household's response and asymmetric preference structures
Modelling trip generation using mobile phone data: A latent demographics approach
Understanding valuation of travel time changes: Are preferences different under different stated choice design settings
Stated choice (SC) experiments are the most popular method to estimate the value of travel time changes (VTTC) of a population. In the simplest VTTC experiment, the SC design variables are time changes and cost changes. The levels of these variables create a particular setting from which preferences are inferred. This paper tries to answer the question "do preferences vary with SC settings?". For this, we investigate the role of the variables use…
A latent class model of residential choice behaviour and ethnic segregation preferences
The nature of ethnic residential clustering involves diverse population segments which through their location decisions influence the spatial patterns of ethnic settlements. While residential location is in part determined by outside constraints, choice plays a role too, making the study of preferences an important research topic. Along with differences in socio-economic characteristics, literature often emphasizes the role of unobserved (behavio…
Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application
Travel demand modelling, data collection and well-being
New appraisal values of travel time saving and reliability in Great Britain
This paper provides an overview of the study ‘Provision of market research for value of time savings and reliability’ undertaken by the Arup/ITS Leeds/Accent consortium for the UK Department for Transport (DfT). The paper summarises recommendations for revised national average values of in-vehicle travel time savings, reliability and time-related quality (e.g. crowding and congestion), which were developed using willingness-to-pay (WTP) methods, …
We want it all: Experiences from a survey seeking to capture social network structures, lifetime events and short-term travel and activity planning
Computer Science (27 works) · Economics (27 works) · Economic and Environmental Valuation (24 works) · Econometrics (22 works) · Engineering (20 works) · Mathematics (20 works) · Geography (18 works) · Transportation Planning and Optimization (17 works) · Urban Transport and Accessibility (16 works) · Transport engineering (14 works)