A5043004676- Urban Transport and Accessibility
- Transportation Planning and Optimization
- Land Use and Ecosystem Services
- Traffic and Road Safety
- Human Mobility and Location-Based Analysis
- Traffic Prediction and Management Techniques
- demographic modeling and climate adaptation
- Urban Design and Spatial Analysis
- Transportation and Mobility Innovations
- Flood Risk Assessment and Management
- Housing Market and Economics
- Economic and Environmental Valuation
- Urbanization and City Planning
- Urban Green Space and Health
- Safety Warnings and Signage
- Safety and Risk Management
- Urban and Freight Transport Logistics
- Evacuation and Crowd Dynamics
- Doctoral Education Challenges and Solutions
- Hydrology and Watershed Management Studies
- Noise Effects and Management
- Urban Heat Island Mitigation
- Regional Economics and Spatial Analysis
- Psychological Well-being and Life Satisfaction
- Traffic control and management
University of Cambridge
2024
MRC Epidemiology Unit
2024
University of Liège
2014-2023
Université Gustave Eiffel
2021-2023
Fund for Scientific Research
2019-2023
Swinburne University of Technology Sarawak Campus
2018-2021
Laboratoire Ville Mobilité Transport
2014-2017
Land use change models enable the exploration of drivers and consequences land dynamics. A broad array modeling approaches are available each type has certain advantages disadvantages depending on objective research. This paper presents an approach combining cellular automata (CA) model support vector machines (SVMs) for urban in Wallonia (Belgium) between 2000 2010. The main this study is to compare accuracy allocating new transitions based CA-SVMs with conventional coupled logistic...
An in-depth understanding of the main factors behind built-up development is a key prerequisite for designing policies dedicated to more efficient land use. Infill are essential curb sprawl and allow progressive recycling low-density areas inherited from past. This paper examines controlling expansion densification processes in Wallonia (Belgium). Unlike usual urban/built-up studies, our approach considers various levels densities distinguish between different types developments, ranging...
Walkability has become a research topic of great concern for preserving public health, especially in the era COVID-19 outbreak. Today more than ever, urban and transport policies, constrained by social distancing measures travel restrictions, must be conceptualized implemented with particular emphasis on sustainable walkability. Most walkability models apply observation subjective methods to measure walkability, whereas few studies address based sense perception. To fill this gap, we aim at...
In this paper, we present machine learning approaches for characterizing and forecasting the short-term demand on-demand ride-hailing services. We propose spatio-temporal estimation of that is a function variable effects related to traffic, pricing weather conditions. With respect methodology, single decision tree, bootstrap-aggregated (bagged) trees, random forest, boosted artificial neural network regression have been adapted systematically compared using various statistics, e.g. R-square,...
One of the main objectives land-use change models is to explore future patterns. Therefore, issue addressing uncertainty in forecasting has received an increasing attention recent years. Many current consider by including a randomness component their structure. In this paper, we present novel approach for tuning over time, which refer as Time Monte Carlo (TMC) method. The TMC uses specific range allocate new land uses. This associated with transition probabilities from one use another....
Aim/Purpose: This paper compares doctoral student and supervisor expectations of their respective roles responsibilities in research supervision relationships Malaysia. It identifies the areas, extent to which align or differ. Background: Incongruence between students has been cited as a major contributor slow completion times high attrition rates for students. While researchers urge need explicit discussion expectations, practice supervisors rarely make each other, few have examined areas...
Urban environments are complex dynamic systems whose prediction of the future states cannot exclusively rely on deterministic rules. Although several studies urban growth were carried out using different modelling approaches, measurement uncertainties was commonly neglected in these studies. This paper investigates effect uncertainty models by introducing a stochastic perturbation method. A cellular automaton is used to simulate predicted growth. The addressed comparing series simulations...
Previous studies on factors influencing public transport usage have mainly focused car users and been conducted in the Western world. In contrast, there are few modal choice motorcycle- dominant countries like Vietnam. This paper contributes to state of art by investigating data from 618 Vietnamese motorcyclists understand psychological that influence intention use among motorcyclists. Exploratory factor analysis (EFA), confirmatory (CFA), structural equation model (SEM) employed explore...
The current literature on public perceptions of autonomous vehicles focuses potential users and the target market. However, need to operate in a mixed traffic condition, it is essential consider road users, especially vulnerable users. This paper builds explicitly limitations previous studies that did not include wide range who often receive less priority. Therefore, this considers towards sharing roads with vehicles. data were collected from 795 people. Extreme gradient boosting (XGBoost)...