Data.Encoding.AIA.23.Lora.Georgios.Ziqi Whatmakesaparkpopular？ Aquantitativeurbanstudyusingmachinelearningtools
Everyoneofuscanthinkofaparkintheircitythatisvery crowded andanotheronethatisalways desert.
Why?Isitrelatedtothedesignofthepark?
Design Problem Statement
ParcdelaCiutadella
ParcoSempione
ParcoPortello
Barcelona
Milano
Public parks are vital urban assets.
Their popularity depends on features like facilities,diversity, safety, and accessibility.
Leveraging data on these features can help formulate strategies to improve lesser-used parks, increasing public engagement in urban spaces.
Design Research Scope
array(['Firenze','Rotterdam', 'Utrecht','Lille', 'Venezia','Napoli','Toulouse', 'Bologna','Lisboa','Porto', 'Wien','Lyon','Stuttgart', 'Geneva','Kyiv', 'FrankfurtamMain', 'Marseille','Dublin', 'Strasbourg','Bordeaux', 'Nantes','Warszawa', 'Praha','Krakovia','Granada', 'ACoruña','Sevilla','Barcelona', 'Hamburg','Amsterdam', 'Luxembourg','Liverpool', 'Manchester','Munchen', 'Berlin','Paris','Bristol', 'Birmingham','Madrid', 'London','Milano','Roma']
Data Collection
tags_to_fetch=
[{'natural':'tree'}, {'amenity':'bench'},
{'amenity':'fountain'},
{'amenity':'drinking_water'},
{'historic':'memorial'},
{'amenity':'bicycle_parking', {'amenity':'bicycle_rental'}, {'amenity':'waste_basket'}, {'amenity':'playground'}, {'amenity':'artwork'}, {'amenity':'pcnic_site'}, {'amenity':'restaurant'}, {'amenity':'bar'}, {'amenity':'toilets'}, {'highway':'footway'}, {'landuse':'grass'}, {'natural':'wood'}]
Data Collection
“Wonderfulparkfreeofcharge.Beautiful monumentsandpicturesquebuildings. Worthcominghereforacalm walk. Dogs arenotallowedunfortunately.Alsoagood spotformakingphotos.Manylocalsspend timehereaswell.Theparkissurroundedby many cafessoyoucaneasyafterfinda placetositandhaveasmallsnack”.
params={ 'input':search_query, 'inputtype':'textquery', 'fields':'name, Rating, User_ratings_total,place_id', 'key':api_key }
Data Collection
footway bikerental bikeparking trees toilets green_cover playground picnic_site monument memorial museum waste_basket sculpture fountain drinking_water restaurant bench bar MOVE NATURE CHILL DISCOVER EAT recyicling URBANFEATURES URBANCIRCULATION CULTURALCONTEXT VEGETATION% 7000 PARKS 11000 PARKS0 ratings Data Processing
NEWINDEXES
ShannonDiversity
ShapeDeviation
Threshold/outliresFiltering
AMENITIES
rating reviews sentiment
rating_total rating_time POPULARITY
RATINGS
Data Processing
HydePark
CHILL
shapeDeviation:0.8
amenitiesDiversity:0.7
weighted_rating:4.7
VillaBorghese
Têted'Or
Buttes-Chaumont
shapeDeviation:0.9
amenitiesDiversity:0.5
weighted_rating:4.9
shapeDeviation:0.6
amenitiesDiversity:0.7
weighted_rating:4.2
shapeDeviation0.4
amenitiesDiversity:0.3
weighted_rating:4.4
Vondelpark
CHILL
shapeDeviation:0.8
amenitiesDiversity:0.7
weighted_rating:4.6
ParcoSempione
CHILL
shapeDeviation:0.8
amenitiesDiversity:0.7
weighted_rating:4.1
Vigelandsanlegget
JardinduLuxembourg
shapeDeviation:0.7
amenitiesDiversity:0.7
weighted_rating:4.2
shapeDeviation:0.8
amenitiesDiversity0.5
weighted_rating:4.8
7000parks
Data Overview
DISCOVER MOVE NATURE DISCOVER DISCOVER
RandomForest Nocorrelation
DecisionTree Nocorrelation
Methodology Range 7000 PARKS K-MeansClustering XGBoost
NoiseOutliersRemoval 3000 PARKS PCA SentimentSampling PCA K-MeansClustering K-MeansClustering ANNRegression t-SNE UMAP ANNRegression
Nocorrelation Nocorrelation Nocorrelation
DirectlyKmeans：gotmixedresult
hue=weighted_rating
hue=reviews_count
hue=sentiment
LinearRegression：failureresult
XGBoost：failureresult
DecisionTree+RandomForest:failure
Data Analysis
y_test y_pred R^2=0.04528628492573994 R^2=-0.14861465286651643 predictreviews_count predictsentiment_score R^2=0.0076508871167839665 R^2=-0.1670350444354125 predictweighted_rating R^2=0.017000163897048504 R^2=-0.17162525064360912
y_test y_pred predictreviews_count predictsentiment_score predictweighted_rating
Correlation Matrix Phases 7000 PARKS 3000 PARKS
Pairplot
Pairpoltbasedonsomecategories,butnottoomuchdiscover.'huebasedonlabeling'
ANNRegression: sentiment_score(Y)
X-X correlati on X-Y correlati on considerreviews_count(Y)andsentiment_score(Y), weighted_rating(Y)haslessrelation.
Wemainlyuse pairplottrytofindthecorrelationtoY,and helpidentifywhichYwewillconsiderinourmodel.
Data Analysis
Data Analysis
Data Analysis
3000 PARKS PCA ANNonPCAs
10000 epochs 10 PCAs 10000 epochs 5 PCAs
K-means
K-means
1000 PARKS SentimentSampling PCA K-meansClustering
t-SNE UMAP
7000 PARKS
K-meansClustering
Cluster Structure
ParcDalamau
ParcoAldoMoro
ParcoSandroPertini
GreenbankPark
shapeDeviation:0.5
amenitiesDiversity:0.3
yearofconstruction:1943
sentiment:0.99
weighted_rating:4.1
avg_review_time:4:29:04PM
shapeDeviation:0.53
amenitiesDiversity:0.5
yearofconstruction:1949
sentiment:0.95
weighted_rating:4.1
avg_review_time:2:27:53PM
shapeDeviation:0.36
amenitiesDiversity:0.7
yearofconstruction:2010
sentiment:0.98
weighted_rating:3.9
avg_review_time:15:38:40PM
shapeDeviation:0.37
amenitiesDiversity:0.77
yearofconstruction:1997
sentiment:0.99
weighted_rating:3.9
avg_review_time:14:41:01PM
Data Reconstruction
3000parks
CHILL
MOVE NATURE
MOVE
Parco25Novembre
CHILL
shapeDeviation:0.5
amenitiesDiversity:0.55
yearofconstruction:1884
sentiment:0.97
weighted_rating:3.7
avg_review_time:11:24:46AM PM
BruceCastlePark
CHILL
shapeDeviation:0.5
amenitiesDiversity:0.55
yearofconstruction:1892
sentiment:0.97
weighted_rating:4.3
avg_review_time:18:15:56PM
NeuSteinhof
CHILL
shapeDeviation:0.62
amenitiesDiversity:0.44
yearofconstruction:1904
sentiment:0.99
weighted_rating:4.3
avg_review_time:12:52:29PM
GarenneLemot
CHILL
shapeDeviation:0.38
amenitiesDiversity:0.55
yearofconstruction:1827
sentiment:0.98
weighted_rating:4.3
avg_review_time:5:20:08PM
Data Reconstruction
Parco4Aprile
NATURE
shapeDeviation:0.52
amenitiesDiversity:0.52
yearofconstruction:1965
sentiment:0.99
weighted_rating:4.1
avg_review_time:2:27:53PM
Pauluspark
shapeDeviation:0.44
amenitiesDiversity:0.52
yearofconstruction:1905
sentiment:0.99
weighted_rating:4.2
avg_review_time:2:14:19PM
ParkSielecki
shapeDeviation:0.52
amenitiesDiversity:0.22
yearofconstruction:1965
sentiment:0.98
weighted_rating:4.3
avg_review_time:2:27:53PM
Data Reconstruction
CHILL
MOVE
