Spatio-temporal Heterogeneity Analysis of Transportation Equity Based on GTWR

Author:

Hu Shihui1ORCID,Wan Xinmeng2ORCID,Guo Danhuai3ORCID

Affiliation:

1. Beijing University of Chemical Technology, Beijing, China

2. Beijing Normal University, Beijing, China

3. Spatial Intelligent Research Lab, College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China

Publisher

ACM

Reference10 articles.

1. A Stewart Fotheringham , Chris Brunsdon , and Martin Charlton . 2003. Geographically weighted regression: the analysis of spatially varying relationships . John Wiley & Sons . A Stewart Fotheringham, Chris Brunsdon, and Martin Charlton. 2003. Geographically weighted regression: the analysis of spatially varying relationships. John Wiley & Sons.

2. Sergio Freire , Kytt MacManus , Martino Pesaresi , Erin Doxsey-Whitfield , and Jane Mills . 2016. Development of new open and free multi-temporal global population grids at 250 m resolution. Population 250 ( 2016 ). Sergio Freire, Kytt MacManus, Martino Pesaresi, Erin Doxsey-Whitfield, and Jane Mills. 2016. Development of new open and free multi-temporal global population grids at 250 m resolution. Population 250 (2016).

3. Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices

4. Analysis of taxi demand and supply in New York City: implications of recent taxi regulations

5. Evaluating transportation equity;Litman Todd;World Transport Policy & Practice,2002

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