Feb 18, 2020 · In this paper, we attempt to discover some general shopping trends by calibrating the Huff model in Shenzhen, China, and New York, USA, using taxi trajectory ...

Here, we calibrate the Huff model for the city of Shenzhen, China, using GPS taxi trajectory data for one million taxi journeys. Using Geographical Weighted ...

In this paper, we attempt to discover some general shopping trends by calibrating the Huff model in Shenzhen, China, and New York, USA, using taxi trajectory ...

Regression results demonstrate a significant linear relationship between localised house prices and the Huff model parameter of attractiveness, ...

In this paper, we attempt to discover some general shopping trends by calibrating the Huff model in Shenzhen, China, and New York, USA, using taxi trajectory ...

The Huff model is designed to estimate the probability of shopping centre patronage based on a shopping centre's attractiveness and the cost of a customer's ...

Geographical and temporal huff model calibration using taxi trajectory data ... Authors: Shuhui Gong; John Cartlidge; Ruibin Bai; Yang Yue; Qingquan Li; Guoping ...

In this paper, we attempt to discover some general shopping trends by calibrating the Huff model in Shenzhen, China, and New York, USA, using taxi trajectory ...

Dive into the research topics of 'Geographical and temporal huff model calibration using taxi trajectory data'. Together they form a unique fingerprint. Sort by ...

Geographical and temporal huff model calibration using taxi trajectory data. S Gong, J Cartlidge, R Bai, Y Yue, Q Li, G Qiu. GeoInformatica 25, 485-512, 2021.