Cargando…
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...
Autores principales: | Kawada, Ko, Yamada, Takashi, Kishimoto, Tatsuya |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4219262/ https://www.ncbi.nlm.nih.gov/pubmed/25379274 http://dx.doi.org/10.3390/bs4030154 |
Ejemplares similares
-
Covid-19 restriction policies and shopping streets
por: Koster, Hans R. A., et al.
Publicado: (2022) -
On the development of a semi-nonparametric generalized multinomial logit model for travel-related choices
por: Wang, Ke, et al.
Publicado: (2017) -
Character recognition competition for street view shop signs
por: Tang, Jingqun, et al.
Publicado: (2023) -
Older Adults’ Choice of Patterns of Outdoor Physical Activity Duration: A Mixed Multinomial Logit Model
por: Liu, Zhengying, et al.
Publicado: (2021) -
Determinants of Household Energy Choice for Cooking in Northern Sudan: A Multinomial Logit Estimation
por: Mperejekumana, Philbert, et al.
Publicado: (2021)