van Eggermond, Michael A.B.
Axhausen, Kay W.
- Working Paper
Rights / licenseIn Copyright - Non-Commercial Use Permitted
As many spatial choices, residential location choices are made from a large pool of potential alternatives. This study evaluates choice sets based on households’ search preferences as a new alternative to the more commonly applied random or weighted sampling, using a recent movers survey conducted in Singapore. Residential units are taken as the unit of analysis. Descriptive analysis reveals that households search in a limited area and in a limited number of markets. Subsequently, a choice set generation algorithm is proposed that evaluates the number of alternatives available to a household based on self-reported search preferences. To a large extent the size of the universal choice set is influenced by the temporal and spatial dimension of the search process. Model results are presented that with alternatives sampled from the universal choice set. Additionally, models are presented with choice sets that take into account households’ self- reported search preferences that include dwelling size, dwelling price and possible areas. Models including spatial variables describing the social environment, combined with choice sets only including alternatives within the preferred price range, perform best. The social environment consisted of variable describing a household’s average distance to work, the distance to their parents and the average distance to the locations where they most frequently meet their five closest contacts. Other significant spatial variables included the distance to a top primary school, as well as the proximity to a mass rapid transit. Given the significance of these variables tt is proposed to further evaluate anchor and distance-based sampling Show more
External linksFull text via SFX
Journal / seriesArbeitsberichte Verkehrs- und Raumplanung
PublisherIVT ETH Zurich
Organisational unit08058 - Singapore ETH Centre (SEC) / Singapore ETH Centre (SEC)
03521 - Axhausen, Kay W.
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