<p>In order to make the spatial distribution more clear, the kernel density estimation (KDE) method is adopted. a) Transportation. b) Dining. c) Work. d) Entertainment. e) Home. f) Other. The demands for W, D, E and O are mainly accumulated in the central area, but the demand O is more discrete than the other three. Tr has two special hot spots, which are the Pudong airport and the Hongqiao airport.</p
This paper analyses the empirical relevance of the 2009 World Development Report’s 3D framework for ...
Local destinations have previously been shown to be associated with higher levels of both physical a...
This research work takes a different approach in the discussion of urban form impacts on transport p...
<p>Gaussian kernel density estimation (KDE) applied on the spatial distribution of places in three c...
The urban facility, one of the most important service providers is usually represented by sets of po...
<p>(a) The study area in Shanghai. The red lattices represent the study area, and covers two airport...
This paper presents a methodology to compute an innovative density indicator of spatial events. The ...
This paper presents a methodology to compute an innovative density indicator of spatial events. The ...
The distribution pattern and the distribution density of urban facility POIs are of great significan...
Kernel density estimation(KDE) is an important method for analyzing spatial distributions of point f...
The urban facility, one of the most important service providers is usuallyrepresented by sets of poi...
An urban, commercial central district is often regarded as the heart of a city. Therefore, quantitat...
OBJECTIVES: Little is known about how the distribution of destinations in the local neighbourhood is...
This study chose 4667 listed firms with headquarters in China as the research objects. The spatial a...
<p>Spatial distributions of the: (A) DDPR and (B) GPR, and (C) urbanization status.</p
This paper analyses the empirical relevance of the 2009 World Development Report’s 3D framework for ...
Local destinations have previously been shown to be associated with higher levels of both physical a...
This research work takes a different approach in the discussion of urban form impacts on transport p...
<p>Gaussian kernel density estimation (KDE) applied on the spatial distribution of places in three c...
The urban facility, one of the most important service providers is usually represented by sets of po...
<p>(a) The study area in Shanghai. The red lattices represent the study area, and covers two airport...
This paper presents a methodology to compute an innovative density indicator of spatial events. The ...
This paper presents a methodology to compute an innovative density indicator of spatial events. The ...
The distribution pattern and the distribution density of urban facility POIs are of great significan...
Kernel density estimation(KDE) is an important method for analyzing spatial distributions of point f...
The urban facility, one of the most important service providers is usuallyrepresented by sets of poi...
An urban, commercial central district is often regarded as the heart of a city. Therefore, quantitat...
OBJECTIVES: Little is known about how the distribution of destinations in the local neighbourhood is...
This study chose 4667 listed firms with headquarters in China as the research objects. The spatial a...
<p>Spatial distributions of the: (A) DDPR and (B) GPR, and (C) urbanization status.</p
This paper analyses the empirical relevance of the 2009 World Development Report’s 3D framework for ...
Local destinations have previously been shown to be associated with higher levels of both physical a...
This research work takes a different approach in the discussion of urban form impacts on transport p...