3

3D City Model

• SMART DATA FOR SMART CITY MORPHOLOGY: THE CASE OF MERIDIA NEIGHBORHOOD IN NICE, FRANCE, pages 33–39

3D City Models

• EXPLORING SCHEMES FOR VISUALIZING URBAN WIND FIELDS BASED ON CFD SIMULATIONS BY EMPLOYING OGC STANDARDS, pages 157–163

3D GIS

• 3D MODELLING OF A BUILDING ORIENTED TO INDOOR NAVIGATION SYSTEM FOR USERS WITH DIFFERENT MOBILITY CONDITIONS, pages 103–109

3D Geovisualization

• THE USE OF 3D GEOVISUALIZATION AND CROWDSOURCING FOR OPTIMIZING ENERGY SIMULATION, pages 165–172

A

Air Quality Monitoring

• APPLICATION OF DISTRIBUTED URBAN SENSOR NETWORKS FOR ACTIONABLE AIR QUALITY DATA, pages 119–126

Ambient Air Pollution

• APPLICATION OF DISTRIBUTED URBAN SENSOR NETWORKS FOR ACTIONABLE AIR QUALITY DATA, pages 119–126

agglomerative clustering

• SEASONALITY DEDUCTION PLATFORM: FOR PM₁₀, PM_2.5, NO, NO₂ AND O₃ IN RELATIONSHIP WITH WIND SPEED AND HUMIDITY, pages 71–78

B

Big Data Workflows

• FLOOD-PREPARED: A NOWCASTING SYSTEM FOR REAL-TIME IMPACT ADAPTION TO SURFACE WATER FLOODING IN CITIES, pages 9–15

Building registration

• LEARNING GEOGRAPHICAL DISTRIBUTION OF VACANT HOUSES USING CLOSED MUNICIPAL DATA: A CASE STUDY OF WAKAYAMA CITY, JAPAN, pages 1–8

C

COVID-19

• INTEGRATION OF HETEROGENEOUS CORONAVIRUS DISEASE COVID-19 DATA SOURCES USING OGC SENSORTHINGS API, pages 135–141

CityGML

• 3D MODELLING OF A BUILDING ORIENTED TO INDOOR NAVIGATION SYSTEM FOR USERS WITH DIFFERENT MOBILITY CONDITIONS, pages 103–109
• 3D SAFE ROUTING NAVIGATION APPLICATION FOR PEDESTRIANS AND CYCLISTS BASED ON OPEN SOURCE TOOLS, pages 143–147
• EXPLORING SCHEMES FOR VISUALIZING URBAN WIND FIELDS BASED ON CFD SIMULATIONS BY EMPLOYING OGC STANDARDS, pages 157–163
• THE USE OF 3D GEOVISUALIZATION AND CROWDSOURCING FOR OPTIMIZING ENERGY SIMULATION, pages 165–172

Closed data

• LEARNING GEOGRAPHICAL DISTRIBUTION OF VACANT HOUSES USING CLOSED MUNICIPAL DATA: A CASE STUDY OF WAKAYAMA CITY, JAPAN, pages 1–8

Computational Fluid Dynamics (CFD) Simulation

• EXPLORING SCHEMES FOR VISUALIZING URBAN WIND FIELDS BASED ON CFD SIMULATIONS BY EMPLOYING OGC STANDARDS, pages 157–163

Crowdsourcing

• THE USE OF 3D GEOVISUALIZATION AND CROWDSOURCING FOR OPTIMIZING ENERGY SIMULATION, pages 165–172

cities planning

• SEASONALITY DEDUCTION PLATFORM: FOR PM₁₀, PM_2.5, NO, NO₂ AND O₃ IN RELATIONSHIP WITH WIND SPEED AND HUMIDITY, pages 71–78

D

Dashboard Design

• DASHBOARDS FOR INPUT-EVALUATION OF POLICY PROGRAMS: LESSONS LEARNED FROM AN ANTWERP DASHBOARD FOR GARDEN STREETS, pages 173–179

Data Visualization

• AN APPROACH ADOPTED FOR SMART DATA GENERATION AND VISUALIZATION PROBLEMS, pages 41–45

Data mining

• A VISUAL ANALYTICS OF MOVEMENT DATA OF A WASTE COLLECTION SERVICE: A TOOL FOR SMART CITIES, pages 111–118

Data science

• SMART CITY DEVELOPMENT STRATEGY PROFILE: USE CASE MODELING BASED ON SIMPLICIAL COMPLEXES, pages 25–32

Data visualization

• A VISUAL ANALYTICS OF MOVEMENT DATA OF A WASTE COLLECTION SERVICE: A TOOL FOR SMART CITIES, pages 111–118

Data-Driven Policy Making

• DASHBOARDS FOR INPUT-EVALUATION OF POLICY PROGRAMS: LESSONS LEARNED FROM AN ANTWERP DASHBOARD FOR GARDEN STREETS, pages 173–179

Distributed Sensor Network

• APPLICATION OF DISTRIBUTED URBAN SENSOR NETWORKS FOR ACTIONABLE AIR QUALITY DATA, pages 119–126

data driven approaches

• PRECINCT SCALE LIVING LABORATORIES: CASE STUDY OF RANDWICK LIVING LAB, pages 127–134

data-driven policy making

• CHALLENGES IN DATA-DRIVEN POLICYMAKING: USING SMART CITY DATA TO SUPPORT LOCAL RETAIL POLICIES, pages 55–61

dendrogram

• SEASONALITY DEDUCTION PLATFORM: FOR PM₁₀, PM_2.5, NO, NO₂ AND O₃ IN RELATIONSHIP WITH WIND SPEED AND HUMIDITY, pages 71–78

E

Energy Simulation

• THE USE OF 3D GEOVISUALIZATION AND CROWDSOURCING FOR OPTIMIZING ENERGY SIMULATION, pages 165–172

Environmental Simulation

• EXPLORING SCHEMES FOR VISUALIZING URBAN WIND FIELDS BASED ON CFD SIMULATIONS BY EMPLOYING OGC STANDARDS, pages 157–163

Evidence-Based Policy Making

• DASHBOARDS FOR INPUT-EVALUATION OF POLICY PROGRAMS: LESSONS LEARNED FROM AN ANTWERP DASHBOARD FOR GARDEN STREETS, pages 173–179

experience sampling

• “I KNOW HOW YOU FEEL” – PREDICTING EMOTIONS FROM SENSORS FOR ASSISTED PEDELEC EXPERIENCES IN SMART CITIES, pages 149–156

F

Flanders

• CHALLENGES IN DATA-DRIVEN POLICYMAKING: USING SMART CITY DATA TO SUPPORT LOCAL RETAIL POLICIES, pages 55–61

Flood Impacts

• FLOOD-PREPARED: A NOWCASTING SYSTEM FOR REAL-TIME IMPACT ADAPTION TO SURFACE WATER FLOODING IN CITIES, pages 9–15

G

GIS

• POTENTIAL FOR URBAN GREENING WITH GREEN ROOFS: A WAY TOWARDS SMART CITIES, pages 87–94

Google Street View

• OPEN GEOSPATIAL DATA FOR URBAN GREEN AREAS, pages 17–24

geospatial open data

• OPEN GEOSPATIAL DATA FOR URBAN GREEN AREAS, pages 17–24

green infrastructure

• OPEN GEOSPATIAL DATA FOR URBAN GREEN AREAS, pages 17–24

green roofs

• POTENTIAL FOR URBAN GREENING WITH GREEN ROOFS: A WAY TOWARDS SMART CITIES, pages 87–94

green view index

• OPEN GEOSPATIAL DATA FOR URBAN GREEN AREAS, pages 17–24

H

Human Wellbeing

• MAKING SMART URBAN DECISIONS: THE NICHE OF A PARAMETRIC SPATIAL MODEL TO BALANCE THE NEEDS OF URBAN STORMWATER MANAGEMENT AND HUMAN WELLBEING, pages 79–86

I

IndoorGML

• 3D MODELLING OF A BUILDING ORIENTED TO INDOOR NAVIGATION SYSTEM FOR USERS WITH DIFFERENT MOBILITY CONDITIONS, pages 103–109

Input Evaluation

• DASHBOARDS FOR INPUT-EVALUATION OF POLICY PROGRAMS: LESSONS LEARNED FROM AN ANTWERP DASHBOARD FOR GARDEN STREETS, pages 173–179

Interactive Urban Data

• A VISUAL ANALYTICS OF MOVEMENT DATA OF A WASTE COLLECTION SERVICE: A TOOL FOR SMART CITIES, pages 111–118

Internet of Things

• APPLICATION OF DISTRIBUTED URBAN SENSOR NETWORKS FOR ACTIONABLE AIR QUALITY DATA, pages 119–126

IoT

• AN APPROACH ADOPTED FOR SMART DATA GENERATION AND VISUALIZATION PROBLEMS, pages 41–45

indoor navigation

• QUALITATIVE ROUTING INSTRUCTIONS IN INDOOR SPACE, pages 47–53

interactive platform

• SEASONALITY DEDUCTION PLATFORM: FOR PM₁₀, PM_2.5, NO, NO₂ AND O₃ IN RELATIONSHIP WITH WIND SPEED AND HUMIDITY, pages 71–78

L

LSTM

• SPATIAL PLANNING TEXT INFORMATION PROCESSING WITH USE OF MACHINE LEARNING METHODS, pages 95–102

LiDAR

• POTENTIAL FOR URBAN GREENING WITH GREEN ROOFS: A WAY TOWARDS SMART CITIES, pages 87–94

LoRaWAN

• AN APPROACH ADOPTED FOR SMART DATA GENERATION AND VISUALIZATION PROBLEMS, pages 41–45

land cover

• OPEN GEOSPATIAL DATA FOR URBAN GREEN AREAS, pages 17–24

landmarks

• QUALITATIVE ROUTING INSTRUCTIONS IN INDOOR SPACE, pages 47–53

living laboratories

• PRECINCT SCALE LIVING LABORATORIES: CASE STUDY OF RANDWICK LIVING LAB, pages 127–134

M

Machine learning

• LEARNING GEOGRAPHICAL DISTRIBUTION OF VACANT HOUSES USING CLOSED MUNICIPAL DATA: A CASE STUDY OF WAKAYAMA CITY, JAPAN, pages 1–8

Morphometrics

• SMART DATA FOR SMART CITY MORPHOLOGY: THE CASE OF MERIDIA NEIGHBORHOOD IN NICE, FRANCE, pages 33–39

Municipal data

• LEARNING GEOGRAPHICAL DISTRIBUTION OF VACANT HOUSES USING CLOSED MUNICIPAL DATA: A CASE STUDY OF WAKAYAMA CITY, JAPAN, pages 1–8

machine learning

• “I KNOW HOW YOU FEEL” – PREDICTING EMOTIONS FROM SENSORS FOR ASSISTED PEDELEC EXPERIENCES IN SMART CITIES, pages 149–156

meteorological data

• SEASONALITY DEDUCTION PLATFORM: FOR PM₁₀, PM_2.5, NO, NO₂ AND O₃ IN RELATIONSHIP WITH WIND SPEED AND HUMIDITY, pages 71–78

mobile sensors

• “I KNOW HOW YOU FEEL” – PREDICTING EMOTIONS FROM SENSORS FOR ASSISTED PEDELEC EXPERIENCES IN SMART CITIES, pages 149–156

N

NLP

• SPATIAL PLANNING TEXT INFORMATION PROCESSING WITH USE OF MACHINE LEARNING METHODS, pages 95–102

Neighborhood Comparison

• SMART DATA FOR SMART CITY MORPHOLOGY: THE CASE OF MERIDIA NEIGHBORHOOD IN NICE, FRANCE, pages 33–39

Nowcast Modelling

• FLOOD-PREPARED: A NOWCASTING SYSTEM FOR REAL-TIME IMPACT ADAPTION TO SURFACE WATER FLOODING IN CITIES, pages 9–15

neural networks

• SPATIAL PLANNING TEXT INFORMATION PROCESSING WITH USE OF MACHINE LEARNING METHODS, pages 95–102

O

Open Data

• MONITORING MOVEMENT IN THE SMART CITY: OPPORTUNITIES AND CHALLENGES OF MEASURING URBAN BUSTLE, pages 181–188

Open Geospatial Consortium

• INTEGRATION OF HETEROGENEOUS CORONAVIRUS DISEASE COVID-19 DATA SOURCES USING OGC SENSORTHINGS API, pages 135–141
• 3D SAFE ROUTING NAVIGATION APPLICATION FOR PEDESTRIANS AND CYCLISTS BASED ON OPEN SOURCE TOOLS, pages 143–147
• EXPLORING SCHEMES FOR VISUALIZING URBAN WIND FIELDS BASED ON CFD SIMULATIONS BY EMPLOYING OGC STANDARDS, pages 157–163

OpenStreetMap

• 3D SAFE ROUTING NAVIGATION APPLICATION FOR PEDESTRIANS AND CYCLISTS BASED ON OPEN SOURCE TOOLS, pages 143–147

P

Parametric spatial model

• MAKING SMART URBAN DECISIONS: THE NICHE OF A PARAMETRIC SPATIAL MODEL TO BALANCE THE NEEDS OF URBAN STORMWATER MANAGEMENT AND HUMAN WELLBEING, pages 79–86

Parking Policy

• SPATIALLY-EXPLICIT TOOLSET FOR ESTABLISHING AND ASSESSING HETEROGENEOUS PARKING PRICES IN THE SMART CITY, pages 63–70

Parking Search

• SPATIALLY-EXPLICIT TOOLSET FOR ESTABLISHING AND ASSESSING HETEROGENEOUS PARKING PRICES IN THE SMART CITY, pages 63–70

Performance Parking Prices

• SPATIALLY-EXPLICIT TOOLSET FOR ESTABLISHING AND ASSESSING HETEROGENEOUS PARKING PRICES IN THE SMART CITY, pages 63–70

Policy Cycle

• DASHBOARDS FOR INPUT-EVALUATION OF POLICY PROGRAMS: LESSONS LEARNED FROM AN ANTWERP DASHBOARD FOR GARDEN STREETS, pages 173–179

Program Evaluation

• DASHBOARDS FOR INPUT-EVALUATION OF POLICY PROGRAMS: LESSONS LEARNED FROM AN ANTWERP DASHBOARD FOR GARDEN STREETS, pages 173–179

pgRouting

• 3D SAFE ROUTING NAVIGATION APPLICATION FOR PEDESTRIANS AND CYCLISTS BASED ON OPEN SOURCE TOOLS, pages 143–147

pollution parameters

• SEASONALITY DEDUCTION PLATFORM: FOR PM₁₀, PM_2.5, NO, NO₂ AND O₃ IN RELATIONSHIP WITH WIND SPEED AND HUMIDITY, pages 71–78

Q

qualitative spatial reasoning

• QUALITATIVE ROUTING INSTRUCTIONS IN INDOOR SPACE, pages 47–53

R

Real-Time Monitoring

• FLOOD-PREPARED: A NOWCASTING SYSTEM FOR REAL-TIME IMPACT ADAPTION TO SURFACE WATER FLOODING IN CITIES, pages 9–15

Resident registration

• LEARNING GEOGRAPHICAL DISTRIBUTION OF VACANT HOUSES USING CLOSED MUNICIPAL DATA: A CASE STUDY OF WAKAYAMA CITY, JAPAN, pages 1–8

remote sensing

• POTENTIAL FOR URBAN GREENING WITH GREEN ROOFS: A WAY TOWARDS SMART CITIES, pages 87–94

retail

• CHALLENGES IN DATA-DRIVEN POLICYMAKING: USING SMART CITY DATA TO SUPPORT LOCAL RETAIL POLICIES, pages 55–61

routing algorithms

• QUALITATIVE ROUTING INSTRUCTIONS IN INDOOR SPACE, pages 47–53

S

Safe routing

• 3D SAFE ROUTING NAVIGATION APPLICATION FOR PEDESTRIANS AND CYCLISTS BASED ON OPEN SOURCE TOOLS, pages 143–147

Semantic 3D City Models

• 3D MODELLING OF A BUILDING ORIENTED TO INDOOR NAVIGATION SYSTEM FOR USERS WITH DIFFERENT MOBILITY CONDITIONS, pages 103–109

Semantic Sensor Network

• MONITORING MOVEMENT IN THE SMART CITY: OPPORTUNITIES AND CHALLENGES OF MEASURING URBAN BUSTLE, pages 181–188

SensorThings

• INTEGRATION OF HETEROGENEOUS CORONAVIRUS DISEASE COVID-19 DATA SOURCES USING OGC SENSORTHINGS API, pages 135–141

SensorThings API

• 3D SAFE ROUTING NAVIGATION APPLICATION FOR PEDESTRIANS AND CYCLISTS BASED ON OPEN SOURCE TOOLS, pages 143–147

Sentinel

• OPEN GEOSPATIAL DATA FOR URBAN GREEN AREAS, pages 17–24

Simplicial complex

• SMART CITY DEVELOPMENT STRATEGY PROFILE: USE CASE MODELING BASED ON SIMPLICIAL COMPLEXES, pages 25–32

Smart Cities

• APPLICATION OF DISTRIBUTED URBAN SENSOR NETWORKS FOR ACTIONABLE AIR QUALITY DATA, pages 119–126
• INTEGRATION OF HETEROGENEOUS CORONAVIRUS DISEASE COVID-19 DATA SOURCES USING OGC SENSORTHINGS API, pages 135–141
• MONITORING MOVEMENT IN THE SMART CITY: OPPORTUNITIES AND CHALLENGES OF MEASURING URBAN BUSTLE, pages 181–188

Smart City

• SMART DATA FOR SMART CITY MORPHOLOGY: THE CASE OF MERIDIA NEIGHBORHOOD IN NICE, FRANCE, pages 33–39

Smart Data

• AN APPROACH ADOPTED FOR SMART DATA GENERATION AND VISUALIZATION PROBLEMS, pages 41–45

Smart Services

• AN APPROACH ADOPTED FOR SMART DATA GENERATION AND VISUALIZATION PROBLEMS, pages 41–45

Smart city

• SMART CITY DEVELOPMENT STRATEGY PROFILE: USE CASE MODELING BASED ON SIMPLICIAL COMPLEXES, pages 25–32

Spatial Simulation

• SPATIALLY-EXPLICIT TOOLSET FOR ESTABLISHING AND ASSESSING HETEROGENEOUS PARKING PRICES IN THE SMART CITY, pages 63–70

Spatiotemporal Phenomena

• A VISUAL ANALYTICS OF MOVEMENT DATA OF A WASTE COLLECTION SERVICE: A TOOL FOR SMART CITIES, pages 111–118

Spearman rank

• SEASONALITY DEDUCTION PLATFORM: FOR PM₁₀, PM_2.5, NO, NO₂ AND O₃ IN RELATIONSHIP WITH WIND SPEED AND HUMIDITY, pages 71–78

Sustainable Stormwater Management

• MAKING SMART URBAN DECISIONS: THE NICHE OF A PARAMETRIC SPATIAL MODEL TO BALANCE THE NEEDS OF URBAN STORMWATER MANAGEMENT AND HUMAN WELLBEING, pages 79–86

seasonality

• SEASONALITY DEDUCTION PLATFORM: FOR PM₁₀, PM_2.5, NO, NO₂ AND O₃ IN RELATIONSHIP WITH WIND SPEED AND HUMIDITY, pages 71–78

sketch planning

• PRECINCT SCALE LIVING LABORATORIES: CASE STUDY OF RANDWICK LIVING LAB, pages 127–134

smart cities

• CHALLENGES IN DATA-DRIVEN POLICYMAKING: USING SMART CITY DATA TO SUPPORT LOCAL RETAIL POLICIES, pages 55–61
• POTENTIAL FOR URBAN GREENING WITH GREEN ROOFS: A WAY TOWARDS SMART CITIES, pages 87–94

smart precincts

• PRECINCT SCALE LIVING LABORATORIES: CASE STUDY OF RANDWICK LIVING LAB, pages 127–134

socio-economic deprivation

• POTENTIAL FOR URBAN GREENING WITH GREEN ROOFS: A WAY TOWARDS SMART CITIES, pages 87–94

spatial planning documents

• SPATIAL PLANNING TEXT INFORMATION PROCESSING WITH USE OF MACHINE LEARNING METHODS, pages 95–102

sustainability

• POTENTIAL FOR URBAN GREENING WITH GREEN ROOFS: A WAY TOWARDS SMART CITIES, pages 87–94

T

TIG stack

• AN APPROACH ADOPTED FOR SMART DATA GENERATION AND VISUALIZATION PROBLEMS, pages 41–45

U

Urban Bustle

• MONITORING MOVEMENT IN THE SMART CITY: OPPORTUNITIES AND CHALLENGES OF MEASURING URBAN BUSTLE, pages 181–188

Urban Forms

• SMART DATA FOR SMART CITY MORPHOLOGY: THE CASE OF MERIDIA NEIGHBORHOOD IN NICE, FRANCE, pages 33–39

Urban Space

• MAKING SMART URBAN DECISIONS: THE NICHE OF A PARAMETRIC SPATIAL MODEL TO BALANCE THE NEEDS OF URBAN STORMWATER MANAGEMENT AND HUMAN WELLBEING, pages 79–86

Urban Waste Collection

• A VISUAL ANALYTICS OF MOVEMENT DATA OF A WASTE COLLECTION SERVICE: A TOOL FOR SMART CITIES, pages 111–118

Urban data

• INTEGRATION OF HETEROGENEOUS CORONAVIRUS DISEASE COVID-19 DATA SOURCES USING OGC SENSORTHINGS API, pages 135–141

Urban sustainability

• SMART CITY DEVELOPMENT STRATEGY PROFILE: USE CASE MODELING BASED ON SIMPLICIAL COMPLEXES, pages 25–32

Use case

• SMART CITY DEVELOPMENT STRATEGY PROFILE: USE CASE MODELING BASED ON SIMPLICIAL COMPLEXES, pages 25–32

unsupervised classification

• SEASONALITY DEDUCTION PLATFORM: FOR PM₁₀, PM_2.5, NO, NO₂ AND O₃ IN RELATIONSHIP WITH WIND SPEED AND HUMIDITY, pages 71–78

unsupervised machine learning

• SPATIAL PLANNING TEXT INFORMATION PROCESSING WITH USE OF MACHINE LEARNING METHODS, pages 95–102

urban

• OPEN GEOSPATIAL DATA FOR URBAN GREEN AREAS, pages 17–24

urban emotions

• “I KNOW HOW YOU FEEL” – PREDICTING EMOTIONS FROM SENSORS FOR ASSISTED PEDELEC EXPERIENCES IN SMART CITIES, pages 149–156

user-centric design

• PRECINCT SCALE LIVING LABORATORIES: CASE STUDY OF RANDWICK LIVING LAB, pages 127–134

V

Vacant house

• LEARNING GEOGRAPHICAL DISTRIBUTION OF VACANT HOUSES USING CLOSED MUNICIPAL DATA: A CASE STUDY OF WAKAYAMA CITY, JAPAN, pages 1–8

Visualization

• EXPLORING SCHEMES FOR VISUALIZING URBAN WIND FIELDS BASED ON CFD SIMULATIONS BY EMPLOYING OGC STANDARDS, pages 157–163

vegetation

• OPEN GEOSPATIAL DATA FOR URBAN GREEN AREAS, pages 17–24

visual analytic

• SEASONALITY DEDUCTION PLATFORM: FOR PM₁₀, PM_2.5, NO, NO₂ AND O₃ IN RELATIONSHIP WITH WIND SPEED AND HUMIDITY, pages 71–78

W

WSN

• AN APPROACH ADOPTED FOR SMART DATA GENERATION AND VISUALIZATION PROBLEMS, pages 41–45

Web Service

• EXPLORING SCHEMES FOR VISUALIZING URBAN WIND FIELDS BASED ON CFD SIMULATIONS BY EMPLOYING OGC STANDARDS, pages 157–163

wayfinding

• QUALITATIVE ROUTING INSTRUCTIONS IN INDOOR SPACE, pages 47–53

X

XGBoost

• LEARNING GEOGRAPHICAL DISTRIBUTION OF VACANT HOUSES USING CLOSED MUNICIPAL DATA: A CASE STUDY OF WAKAYAMA CITY, JAPAN, pages 1–8

Z

zoning plan

• SPATIAL PLANNING TEXT INFORMATION PROCESSING WITH USE OF MACHINE LEARNING METHODS, pages 95–102