| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
A carpool matching model with both social and route networks
|
Xia, Jizhe
|
|
2019
|
75 |
C |
p. 90-102
|
article
|
| 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
|
article
|
| 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
|
article
|
| 4 |
A multi-scale urban integrated assessment framework for climate change studies: A flooding application
|
Ford, Alistair
|
|
2019
|
75 |
C |
p. 229-243
|
article
|
| 5 |
Analysis of spatial and seasonal distributions of air pollutants by incorporating urban morphological characteristics
|
Tian, Ye
|
|
2019
|
75 |
C |
p. 35-48
|
article
|
| 6 |
An enhanced support vector machine model for urban expansion prediction
|
Karimi, Firoozeh
|
|
2019
|
75 |
C |
p. 61-75
|
article
|
| 7 |
A polygon aggregation method with global feature preservation using superpixel segmentation
|
Shen, Yilang
|
|
2019
|
75 |
C |
p. 117-131
|
article
|
| 8 |
Assessing the spatial sensitivity of a random forest model: Application in gridded population modeling
|
Sinha, Parmanand
|
|
2019
|
75 |
C |
p. 132-145
|
article
|
| 9 |
A topological analysis of growth in the Zurich road network
|
Casali, Ylenia
|
|
2019
|
75 |
C |
p. 244-253
|
article
|
| 10 |
Classification of impervious land-use features using object-based image analysis and data fusion
|
Lichtblau, Ela
|
|
2019
|
75 |
C |
p. 103-116
|
article
|
| 11 |
Compatibility mix degree index: A novel measure to characterize urban land use mix pattern
|
Zhuo, Yuefei
|
|
2019
|
75 |
C |
p. 49-60
|
article
|
| 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
|
article
|
| 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
|
article
|
| 14 |
Editorial Board
|
|
|
2019
|
75 |
C |
p. ii
|
article
|
| 15 |
Permutation-test-based clustering method for detection of dynamic patterns in Spatio-temporal datasets
|
Liu, Qiliang
|
|
2019
|
75 |
C |
p. 204-216
|
article
|
| 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
|
article
|
| 17 |
Temporal and spatial analysis of the media spotlight
|
Prieto Curiel, Rafael
|
|
2019
|
75 |
C |
p. 254-263
|
article
|
| 18 |
The influence of built environment features on crowdsourced physiological responses of pedestrians in neighborhoods
|
Kim, Jinwoo
|
|
2019
|
75 |
C |
p. 161-169
|
article
|
| 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
|
article
|
| 20 |
Unraveling environmental justice in ambient PM2.5 exposure in Beijing: A big data approach
|
Xu, Yanyan
|
|
2019
|
75 |
C |
p. 12-21
|
article
|
| 21 |
Unravel the landscape and pulses of cycling activities from a dockless bike-sharing system
|
Xu, Yang
|
|
2019
|
75 |
C |
p. 184-203
|
article
|
| 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
|
article
|
Journal description