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Goodness of fit results of MLM and the chosen SVR model for..:

Andres Sevtsuk (10330919) ; Rounaq Basu (11372530) ; Bahij Chancey (11462644)
https://figshare.com/articles/dataset/Goodness_of_fit_results_of_MLM_and_the_chosen_SVR_model_for_10_types_of_pedestrian_flows_combined_with_weather_and_day-of-week_variables_with_sensor-level_dummies_/16653853. , 2021

Link: https://doi.org/10.1371/journal.pone.0257534.t003

RT Journal
T1 <Title>Goodness of fit results of MLM and the chosen SVR model for 10 types of pedestrian flows combined with weather and day-of-week variables, with sensor-level dummies</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_16653853&Exemplar=1&LAN=DE
				
A1 Andres Sevtsuk (10330919)
A1 Rounaq Basu (11372530)
A1 Bahij Chancey (11462644)
YR 2021
K1 Ecology
K1 Sociology
K1 Mental Health
K1 Plant Biology
K1 Space Science
K1 Environmental Sciences not elsewhere classified
K1 Biological Sciences not elsewhere classified
K1 xlink "> cities
K1 tackle climate change
K1 reliable baseline observations
K1 newly planned developments
K1 increasingly promoting walkability
K1 implement &# 8220
K1 address socioeconomic inequities
K1 oriented development tends
K1 new development projects
K1 improve urban quality
K1 comparing model results
K1 melbourne &# 8217
K1 city center based
K1 city &# 8217
K1 different calibration techniques
K1 predict pedestrian flows
K1 environment data annually
K1 melbourne </ p
K1 pedestrian flows
K1 development activity
K1 urban form
K1 calibration allows
K1 pedestrian walkways
K1 pedestrian origin
K1 weather conditions
K1 use pairs
K1 subsequently calibrated
K1 subsequent years
K1 spatial distribution
K1 paper implements
K1 novel network
K1 novel framework
K1 model predictions
K1 measurable impact
K1 longitudinal analysis
K1 level resolution
K1 following years
K1 different land
K1 built environment
K1 automated sensors
JF https://figshare.com/articles/dataset/Goodness_of_fit_results_of_MLM_and_the_chosen_SVR_model_for_10_types_of_pedestrian_flows_combined_with_weather_and_day-of-week_variables_with_sensor-level_dummies_/16653853
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0257534.t003
DO https://doi.org/10.1371/journal.pone.0257534.t003
SF ELIB - SuUB Bremen

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