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A review of research methods on the coupling relationship between urban rail transit and urban space: revealing spatiotemporal relationships through big data
Z Liu, H ** city spatial structures;
however, the principles and mechanisms behind this influence are not fully understood. This …
however, the principles and mechanisms behind this influence are not fully understood. This …
What is The Company's Motivation for Doing CSR? An Analysis of Manufacturing Companies
RO Herianto, BZ Alfiana, F Apriliyanti… - MAKSIMUM: Media …, 2023 - jurnal.unimus.ac.id
Disclosure of CSR in Indonesia is still relatively low. Several companies in Indonesia
Empirically, this research examines various factors that motivate companies to disclose …
Empirically, this research examines various factors that motivate companies to disclose …
An overview and general framework for spatiotemporal modeling and applications in transportation and public health
Spatiotemporal modeling and forecasting is an essential task for many real-world problems,
especially in the field of transportation and public health. The complex and dynamic patterns …
especially in the field of transportation and public health. The complex and dynamic patterns …
Inferring urban polycentricity from the variability in human mobility patterns
The polycentric city model has gained popularity in spatial planning policy, since it is
believed to overcome some of the problems often present in monocentric metropolises …
believed to overcome some of the problems often present in monocentric metropolises …
Classification of the metropolitan subway stations and spheres of influence of main commercial areas in Seoul
We classify the subway stations in the Seoul metropolitan area using smart card data. For
each station, the numbers of passengers result in a 36-dimensional data set. When the …
each station, the numbers of passengers result in a 36-dimensional data set. When the …
[HTML][HTML] PMMTss: A parallel multi-way merging-based trajectory similarity search for a million metro passengers
W Huang, W **ong, X Wang - Applied Sciences, 2023 - mdpi.com
Trajectory similarity search (TSS) is a common operation for spatiotemporal data analysis.
However, the existing TSS methods are mainly focused on GPS trajectories produced by …
However, the existing TSS methods are mainly focused on GPS trajectories produced by …
Using Smart Card Data of Metro Passengers to Unveil the Urban Spatial Structure: A Case Study of **'an, China
G Cheng, S Sun, L Zhou, G Wu - Mathematical Problems in …, 2021 - Wiley Online Library
This study adopted smart card data collected from metro systems to identify city centers and
illustrate how city centers interacted with other regions. A case study of **'an, China, was …
illustrate how city centers interacted with other regions. A case study of **'an, China, was …
Improving the Quality of Public Transportation by Dynamically Adjusting the Bus Departure Time
Nowadays, more and more smart cities around the world are being built. As a part of the
smart city, intelligent public transportation plays a very important role. Improving the quality …
smart city, intelligent public transportation plays a very important role. Improving the quality …
The temporal concentration of travel demand in an urban transport network
Suppose $ A $ and $ B $ are two stations within the mass rapid transit network of a city. Both
stations see approximately the same average daily number of passengers entering and …
stations see approximately the same average daily number of passengers entering and …
A Visual Analytics Approach For Profiling Mobile Ticketing Commuters
JNT Ferreira - 2022 - repositorio-aberto.up.pt
Urban centres are becoming overpopulated, with the car being the main mode of transport,
which has a direct negative impact on the environment. One of the ways to counteract this …
which has a direct negative impact on the environment. One of the ways to counteract this …