A spatial microsimulation approach for the analysis of commuter patterns: from individual to regional levels

Robin Lovelace, Dimitris Ballas and Matt Watson

Journal of Transport Geography, 2014, vol. 34, issue C, 282-296

Abstract: The daily trip to work is ubiquitous, yet its characteristics differ widely from person to person and place to place. This is manifested in statistics on mode and distance of travel, which vary depending on a range of factors that operate at different scales. This heterogeneity is problematic for decision makers tasked with encouraging more sustainable commuter patterns. Numerical models, based on real commuting data, have great potential to aid the decision making process. However, we contend that new approaches are needed to advance knowledge about the social and geographical factors that relate to the diversity of commuter patterns, if policies targeted to specific individuals or places are to be effective. To this end, the paper presents a spatial microsimulation approach, which combines individual-level survey data with geographically aggregated census results to tackle the problem. This method overcomes the limitations imposed by the lack of available geocoded micro-data. Further, it allows a range of scales of analysis to be pursued in parallel and provides insights into both the types of area and individual that would benefit most from specific interventions.

Keywords: Spatial microsimulation; Commuting; Policy evaluation (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (15)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jotrge:v:34:y:2014:i:c:p:282-296

DOI: 10.1016/j.jtrangeo.2013.07.008

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