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Jiahui Zhao, Zhibin Li, Pan Liu, Mingye Zhang
Pág. 115 - 142
Demand prediction plays a critical role in traffic research. The key challenge of traffic demand prediction lies in modeling the complex spatial dependencies and temporal dynamics. However, there is no mature and widely accepted concept to support the so...
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Dongwei Tian, Zheng Wen and Yao Sun
Shared bicycle systems play a crucial role in promoting sustainable urban transportation, addressing challenges such as traffic congestion and air pollution. Understanding the spatiotemporal patterns of shared bike usage is essential for optimizing bike-...
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Zhi Cai, Fangzhe Liu, Qiong Qi, Xing Su, Limin Guo and Zhiming Ding
Urban rail transit is an essential part of the urban public transportation system. The reasonable spatial data visualization of urban rail transit stations can provide a more intuitive way for the majority of travelers to arrange travel plans and find de...
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Merve Keskin, Vassilios Krassanakis and Arzu Çöltekin
This study investigates how expert and novice map users? attention is influenced by the map design characteristics of 2D web maps by building and sharing a framework to analyze large volumes of eye tracking data. Our goal is to respond to the following r...
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Rui Xin, Linfang Ding, Bo Ai, Min Yang, Ruoxin Zhu, Bin Cao and Liqiu Meng
Bike-sharing data are an important data source to study urban mobility in the context of the coronavirus disease 2019 (COVID-19). However, studies that focus on different bike-sharing activities including both riding and rebalancing are sparse. This limi...
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Md. Mostafizur Rahman and György Szabó
National spatial data infrastructure (NSDI) is an essential framework for managing and sharing geospatial data across different sectors and organizations. In Bangladesh, the development of NSDI is still in its early stages, and there are several challeng...
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Jingwu Ma, Renfeng Ma, Qi Pan, Xianjun Liang, Jianqing Wang and Xinxin Ni
With the rapid development of urbanization and industrialization, human activities have caused marine pollution in three ways: land source, air source, and sea source, leading to the problem of marine environments. Remote sensing, with its wide coverage ...
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Jiemin Zheng, Mingxing Hu, Junheng Qi, Bing Han, Hui Wang and Feifei Xu
With the increasing trend of residents and tourists sharing urban spaces, the boundary between leisure spaces and tourism spaces is gradually being blurred. However, few studies have quantified the spatiotemporal correlation patterns of residents? leisur...
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Gregorio Rosario Michel, María Ester Gonzalez-Campos, Fernando Manzano Aybar and Joep Crompvoets
The Dominican Republic (DR) is a small island developing state (SIDS) highly exposed to disaster-risk phenomena, such as earthquakes, hurricanes, etc. The Spatial Data Infrastructure (SDI) enables coordination and sharing of spatial information and servi...
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Qasim Hamakhurshid Hamamurad, Normal Mat Jusoh and Uznir Ujang
This paper examines the phenomena of the local government?s inadequate reaction to the national programme of geographical infrastructure for the effective sharing of spatial data in Malaysia. We investigate the determinants of sharing data for Malaysia?s...
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