A5008733840- Transportation Planning and Optimization
- Urban Transport and Accessibility
- Transportation and Mobility Innovations
- Urban and Freight Transport Logistics
- Economic and Environmental Valuation
- demographic modeling and climate adaptation
- Migration, Aging, and Tourism Studies
- Maritime Ports and Logistics
- Arctic and Russian Policy Studies
- Housing Market and Economics
- Energy, Environment, and Transportation Policies
- 3D Modeling in Geospatial Applications
- Sustainable Building Design and Assessment
- Digital Economy and Work Transformation
- Aviation Industry Analysis and Trends
- Engineering and Environmental Studies
- Economic theories and models
- Urban Planning and Governance
- Smart Parking Systems Research
- Risk Perception and Management
- transportation and logistics systems
- Transportation Systems and Logistics
- Urban Green Space and Health
- Regional Economics and Spatial Analysis
- Gender and Women's Rights
KTH Royal Institute of Technology
2006-2024
University of Gävle
2016
This paper presents a dynamic discrete choice model (DDCM) for daily activity–travel planning. A pattern is constructed from sequence of decisions when, where, why, and how to travel. Individuals’ preferences patterns are described by the sum utility all travel activity episodes in that pattern, but components functions, such as times, may be stochastic. In each decision stage, individuals act if they maximized expected remainder day. The DDCM-model presented allows detailed treatment timing...
Abstract This paper presents some experience from using transport models in Swedish planning practice. First we outline three recent examples of settings which have been put to extensive use. For the 'national' plan for period 2010–2021, was recently finished, national model SAMPERS used compute costs and benefits many investment projects. The second example concerns 'regional' Stockholm, where a similar but less detailed model, LuTRANS, investigate different land use scenarios. third...
This paper presents a dynamic discrete choice model of activity scheduling that features classic time-geography properties within microeconomic framework. We present results show how the can produce accessibilities form space-time prisms, while retaining traditional measures based on consumer surplus in logsums. The main are it handles time-space constraints, travel time uncertainty, and endogenous trip chaining one consistent resulting accessibility respects individual's budget fixed...
Stockholm has set a target for greenhouse gas emissions in the year 2030, based on United Nation's (IPCC) recommendations an acceptable CO 2 level atmosphere. In this study we use backcasting framework to analyze range of specific transport policies and fuel technology related developments with respect emission target. Our employs modelling system, traditionally used forecasts, quantify impacts various travel demand measures (TDM). shows that change demand, induced by policies, will not...
This paper analyses the gap between planning theory and practice in Swedish infrastructure planning. Planning was of limited relevance order to understand processes documents. Instead sociology, political philosophy appeared as useful theoretical resources. Bourdieu's theories on social cultural capital, 'the feel for game' were understanding practice. In develop communicative into a asset system perspective emphasis public spheres from Habermas action theory, critical realism pluralism...
The City of Stockholm is conducting a scenario planning exercise to explore where potential future office development should be planned: closer the city centre as in status quo, peripheral hubs on outskirts city, or dispersed throughout multiple neighbourhoods. To support this exercise, paper models these three scenarios using nested work location and dynamic activity-based scheduling model. Our model predicts that high-income individuals have highest consumer welfare benefits are...