nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A carpool matching model with both social and route networks
|
Xia, Jizhe |
|
2019 |
75 |
C |
p. 90-102 |
artikel |
2 |
A data science approach for spatiotemporal modelling of low and resident air pollution in Madrid (Spain): Implications for epidemiological studies
|
Gómez-Losada, Álvaro |
|
2019 |
75 |
C |
p. 1-11 |
artikel |
3 |
Agent-based modeling to estimate exposures to urban air pollution from transportation: Exposure disparities and impacts of high-resolution data
|
Gurram, Sashikanth |
|
2019 |
75 |
C |
p. 22-34 |
artikel |
4 |
A multi-scale urban integrated assessment framework for climate change studies: A flooding application
|
Ford, Alistair |
|
2019 |
75 |
C |
p. 229-243 |
artikel |
5 |
Analysis of spatial and seasonal distributions of air pollutants by incorporating urban morphological characteristics
|
Tian, Ye |
|
2019 |
75 |
C |
p. 35-48 |
artikel |
6 |
An enhanced support vector machine model for urban expansion prediction
|
Karimi, Firoozeh |
|
2019 |
75 |
C |
p. 61-75 |
artikel |
7 |
A polygon aggregation method with global feature preservation using superpixel segmentation
|
Shen, Yilang |
|
2019 |
75 |
C |
p. 117-131 |
artikel |
8 |
Assessing the spatial sensitivity of a random forest model: Application in gridded population modeling
|
Sinha, Parmanand |
|
2019 |
75 |
C |
p. 132-145 |
artikel |
9 |
A topological analysis of growth in the Zurich road network
|
Casali, Ylenia |
|
2019 |
75 |
C |
p. 244-253 |
artikel |
10 |
Classification of impervious land-use features using object-based image analysis and data fusion
|
Lichtblau, Ela |
|
2019 |
75 |
C |
p. 103-116 |
artikel |
11 |
Compatibility mix degree index: A novel measure to characterize urban land use mix pattern
|
Zhuo, Yuefei |
|
2019 |
75 |
C |
p. 49-60 |
artikel |
12 |
Corrigendum to “Mining massive taxi trajectories for rapid fastest path planning in dynamic multi-level landmark network” [Computers, Environment and Urban Systems 72 (2018) 221–231]
|
Zhao, Dongbao |
|
2019 |
75 |
C |
p. 264-265 |
artikel |
13 |
Creating 3D city models with building footprints and LIDAR point cloud classification: A machine learning approach
|
Park, Yujin |
|
2019 |
75 |
C |
p. 76-89 |
artikel |
14 |
Editorial Board
|
|
|
2019 |
75 |
C |
p. ii |
artikel |
15 |
Permutation-test-based clustering method for detection of dynamic patterns in Spatio-temporal datasets
|
Liu, Qiliang |
|
2019 |
75 |
C |
p. 204-216 |
artikel |
16 |
Place niche and its regional variability: Measuring spatial context patterns for points of interest with representation learning
|
Liu, Xi |
|
2019 |
75 |
C |
p. 146-160 |
artikel |
17 |
Temporal and spatial analysis of the media spotlight
|
Prieto Curiel, Rafael |
|
2019 |
75 |
C |
p. 254-263 |
artikel |
18 |
The influence of built environment features on crowdsourced physiological responses of pedestrians in neighborhoods
|
Kim, Jinwoo |
|
2019 |
75 |
C |
p. 161-169 |
artikel |
19 |
Tree risk evaluation environment for failure and limb loss (TREEFALL): An integrated model for quantifying the risk of tree failure from local to regional scales
|
Gullick, D. |
|
2019 |
75 |
C |
p. 217-228 |
artikel |
20 |
Unraveling environmental justice in ambient PM2.5 exposure in Beijing: A big data approach
|
Xu, Yanyan |
|
2019 |
75 |
C |
p. 12-21 |
artikel |
21 |
Unravel the landscape and pulses of cycling activities from a dockless bike-sharing system
|
Xu, Yang |
|
2019 |
75 |
C |
p. 184-203 |
artikel |
22 |
Using multiple scale space-time patterns in variance-based global sensitivity analysis for spatially explicit agent-based models
|
Kang, Jeon-Young |
|
2019 |
75 |
C |
p. 170-183 |
artikel |