Predicting the turning points of housing prices by combining the financial model with genetic algorithm.

Autor: Shihai Dong, Yandong Wang, Yanyan Gu, Shiwei Shao, Hui Liu, Shanmei Wu, Mengmeng Li

Publikováno v: PLoS ONE, Vol 15, Iss 4, p e0232478 (2020)

The turning points of housing prices play a significant role in the real estate market and economy. However, because multiple factors impact the market, the prediction of the turning points of housing prices faces significant challenges. To solve thi

Externí odkaz: https://doaj.org/article/3299d5acb8924fcf9cc41fecbc0e6372

Public Traffic Congestion Estimation Using an Artificial Neural Network

Autor: Yanyan Gu, Yandong Wang, Shihai Dong

Publikováno v: ISPRS International Journal of Geo-Information, Vol 9, Iss 3, p 152 (2020)

Alleviating public traffic congestion is an efficient and effective way to improve the travel time reliability and quality of public transport services. The existing public network optimization models usually ignored the essential impact of public tr

Externí odkaz: https://doaj.org/article/ef4ffd7b8b7444c2a305a8c30e062701

Superintegrability on the Dunkl Oscillator Model in Three-Dimensional Spaces of Constant

Autor: shihai Dong, amene najafizade, Hossein Panahi, Won Sang Chung, Hassan Hassanabadi

Publikováno v: SSRN Electronic Journal.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d764a342d26e5e6ca409cbf06fba15bf
https://doi.org/10.2139/ssrn.4124948

Public Traffic Congestion Estimation Using an Artificial Neural Network

Autor: Yandong Wang, Shihai Dong, Yanyan Gu

Publikováno v: ISPRS International Journal of Geo-Information
Volume 9
Issue 3
ISPRS International Journal of Geo-Information, Vol 9, Iss 3, p 152 (2020)

Alleviating public traffic congestion is an efficient and effective way to improve the travel time reliability and quality of public transport services. The existing public network optimization models usually ignored the essential impact of public tr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04fc323c8ca9a8bfb60152b9a126be4f

Integrating Network Centrality and Node-Place Model to Evaluate and Classify Station Areas in Shanghai

Autor: Yandong Wang, Shihai Dong, Mingxuan Dou

Publikováno v: ISPRS International Journal of Geo-Information, Vol 10, Iss 414, p 414 (2021)
ISPRS International Journal of Geo-Information
Volume 10
Issue 6

Transit-oriented development (TOD) is generally understood as an effective urban design model for encouraging the use of public transportation. Inspired by TOD, the node-place (NP) model was developed to investigate the relationship between transport

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf3f6d97d44faa003d0de67f2d9c9982
https://doi.org/10.3390/ijgi10060414