01478452

Component

https://doi.org/10.3141/2344-03

http://scholar.google.com...rath&publication_year=2013

The number and the temporal and spatial distribution of work locations are crucial information for any transport demand model. To generate the initial transport demand of MATSim, an activity-based multiagent simulation framework, it is necessary to determine dynamic workplace capacities with high spatial resolution, either on a parcel or even a building level. Commonly applied methods to derive work locations are based on census of enterprises information, unemployment insurance database, or combined information of a building’s gross floor area and individual work space requirements. As an alternative, the authors present a methodology that combines public transport smart card transaction data, travel diary surveys, and building information data sources. Work activities are detected from smart card transactions based on observed activity duration and start time and therefore related to public transport stops. To link the observed work activities to individual buildings, a linear programming optimization technique is applied that minimizes the walking time between public transport stops and potential work locations. The method classifies work activities in representative work schedules obtained by clustering methods. Information on maximum allowed building gross floor area derived from land use regulation is combined with estimates on individual work space requirements to ensure that buildings are only assigned with work activities according to their maximal capacity. To account for private transport based work activities, mode shares as observed in a travel diary are taken into account. To demonstrate the applicability, the proposed approach is implemented in Singapore and the results critically reviewed.

01498550

13-3683

English

pp 20–30

2013

Transportation Research Record: Journal of the Transportation Research Board

9780309286718

Print

Figures (6) ; References (15) ; Tables (1)

Case studies; Data collection; Land use; Location; Multi-agent systems; Office buildings; Public transit; Smart cards; Travel surveys; Workplaces

MATSim (Computer program)

Singapore

Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Feb 5 2013 12:43PM

• Assessment of Sustainability for Transportation Vehicles
• Capturing Latent Household Preferences in Daily-Activity Pattern Choices: Application to Activity-Based Model of Houston–Galveston Region in Texas
• Comparison of Static and Dynamic Land Use–Transport Interaction Models: Pirandello and UrbanSim Applications
• Destination Choice Model for Commercial Vehicle Movements in Metropolitan Area
• Does Residential Dissonance Affect Residential Mobility?
• Effectiveness of Bayesian Updating Attributes in Data Transferability Applications
• Establishing Values of Time for Freight Trucks for Better Understanding of Impact of Toll Policies
• Evolving ITE Trip Generation Handbook: Proposal for Collecting Multimodal, Multicontext, Establishment-Level Data
• Exploring Engagement in Household Activities and Decisions on Residential Tenure and Household Type
• Impact of Distribution Choice for Representing Input Variation: Analysis of Uncertainty in Travel Demand Simulation in Context of Information Shortage
• Incorporating Mechanisms of Social Adoption in Design and Analysis of Stated-Choice Experiments: Illustration and Application to Choice of Electric Cars
• Mixed-Use Development Trip Generation Model
• Modeling Long-Distance Travel in Great Britain
• Robustness and Computational Efficiency of Kalman Filter Estimator of Time-Dependent Origin–Destination Matrices: Exploiting Traffic Measurements from Information and Communications Technologies
• Temporal Stability of Generation Choice Models