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Paper eres2004_169:
Pedestrian Excursion Behavior Model Under Uncertainty

id eres2004_169
authors Kuang-Yih Yeh; Kan-Chung Huang
year 2004
title Pedestrian Excursion Behavior Model Under Uncertainty
source 11th European Real Estate Society Conference (2-5 June 2004) Milano, Italy
summary When we plan and construct business districts, roadways, sidewalks, the most important priority is to understand pedestrian excursion behavior. Furthermore, we can integrate “activity” and “demand” and distribute public equipment and stores properly, to improve the consumer experience and development of business districts. This study first investigates and classifies the shopping behavior and excursion behavior of consumers by using factor analysis and cluster analysis. Secondly, stated preference or conjoint analysis will be used to compare whether excursion behavior in different districts would be the same or not, and probability of particular excursion choices will be evaluated. The qualitative variables and probabilities will be the independent variables in the Multinomial Logit Model (MNL) by using the Analysis of Hierarchy Process (AHP). Finally, a segmentation model will be constructed, considering the risk profile of individual and classification of excursion behavior. This study analyzes the uncertainty of pedestrians and models their behavior. The conclusion can be used as references for development and renewal of business districts.
keywords Business districts; consumer experience; segmentation model; sidewalks
series ERES:conference
discussion No discussions. Post discussion ...
session Urban Management and Modelling
last changed 2008/12/21 10:41
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