contributor author | Wei Zhu | |
contributor author | Harry Timmermans | |
contributor author | De Wang | |
date accessioned | 2017-05-08T21:05:49Z | |
date available | 2017-05-08T21:05:49Z | |
date copyright | September 2006 | |
date issued | 2006 | |
identifier other | %28asce%290733-9488%282006%29132%3A3%28166%29.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/38517 | |
description abstract | Modeling consumer behavior in shopping streets to support urban planning decisions has a long tradition in a variety of disciplines. Surprisingly, temporal variation in such a shopping process has received only scant attention in these models. This paper therefore proposes a multinomial logit model, in which real time is part of the utility function, implying that temporal variation in consumer preference structures can be analyzed. A grid-based estimation procedure is developed to estimate the unknown temporal variability from consumer choice data. The goodness-of-fit of the estimated model is very satisfactory and most parameters are statistically significant and in anticipated directions. Time-varying effects on consumer behavior are shown to be fairly strong. Some factors are weakened over time while others are strengthened. This finding suggests the existence of systematic variations in consumer behavior, which could enable retailers, urban planners, and real estate developers to evaluate their plans or to make decisions in more specific spatio-temporal contexts. | |
publisher | American Society of Civil Engineers | |
title | Temporal Variation in Consumer Spatial Behavior in Shopping Streets | |
type | Journal Paper | |
journal volume | 132 | |
journal issue | 3 | |
journal title | Journal of Urban Planning and Development | |
identifier doi | 10.1061/(ASCE)0733-9488(2006)132:3(166) | |
tree | Journal of Urban Planning and Development:;2006:;Volume ( 132 ):;issue: 003 | |
contenttype | Fulltext | |