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Behav. Sci. 2014, 4(3), 154-166; doi:10.3390/bs4030154

Street Choice Logit Model for Visitors in Shopping Districts

1
Graduate School of Science and Technology, Keio University, Yokohama 223-8522, Japan
2
Department of System Design Engineering, Faculty of Science and Technology, Keio University, Yokohama 223-8522, Japan
*
Author to whom correspondence should be addressed.
Received: 1 April 2014 / Revised: 6 June 2014 / Accepted: 23 June 2014 / Published: 4 July 2014
(This article belongs to the Special Issue Spatial Cognition and Behaviour)
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Abstract

In this study, we propose two models for predicting people’s activity. The first model is the pedestrian distribution prediction (or postdiction) model by multiple regression analysis using space syntax indices of urban fabric and people distribution data obtained from a field survey. The second model is a street choice model for visitors using multinomial logit model. We performed a questionnaire survey on the field to investigate the strolling routes of 46 visitors and obtained a total of 1211 street choices in their routes. We proposed a utility function, sum of weighted space syntax indices, and other indices, and estimated the parameters for weights on the basis of maximum likelihood. These models consider both street networks, distance from destination, direction of the street choice and other spatial compositions (numbers of pedestrians, cars, shops, and elevation). The first model explains the characteristics of the street where many people tend to walk or stay. The second model explains the mechanism underlying the street choice of visitors and clarifies the differences in the weights of street choice parameters among the various attributes, such as gender, existence of destinations, number of people, etc. For all the attributes considered, the influences of DISTANCE and DIRECTION are strong. On the other hand, the influences of Int.V, SHOPS, CARS, ELEVATION, and WIDTH are different for each attribute. People with defined destinations tend to choose streets that “have more shops, and are wider and lower”. In contrast, people with undefined destinations tend to choose streets of high Int.V. The choice of males is affected by Int.V, SHOPS, WIDTH (positive) and CARS (negative). Females prefer streets that have many shops, and couples tend to choose downhill streets. The behavior of individual persons is affected by all variables. The behavior of people visiting in groups is affected by SHOP and WIDTH (positive). View Full-Text
Keywords: pedestrian distribution; pedestrian behavior; street choice; route choice; shopping district; strolling visitors; logit model; space syntax pedestrian distribution; pedestrian behavior; street choice; route choice; shopping district; strolling visitors; logit model; space syntax
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Kawada, K.; Yamada, T.; Kishimoto, T. Street Choice Logit Model for Visitors in Shopping Districts. Behav. Sci. 2014, 4, 154-166.

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