Street Choice Logit Model for Visitors in Shopping Districts

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 mod...

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Библиографические подробности
Главные авторы: Ko Kawada, Takashi Yamada, Tatsuya Kishimoto
Формат: Artigo
Язык:Inglês
Опубликовано: MDPI AG 2014-07-01
Серии:Behavioral Sciences
Предметы:
pedestrian distribution
pedestrian behavior
street choice
route choice
shopping district
strolling visitors
logit model
space syntax
Online-ссылка:http://www.mdpi.com/2076-328X/4/3/154
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