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Min Yang, Lingya Cheng, Minjun Cao and Xiongfeng Yan
Recognizing the patterns of road junctions in a road network plays a crucial role in various applications. Owing to the diversity and complexity of morphologies of road junctions, traditional methods that rely heavily on manual settings of features and r...
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Jianting Yang, Kongyang Zhao, Muzi Li, Zhu Xu and Zhilin Li
Automated generalization of road network data is of great concern to the map generalization community because of the importance of road data and the difficulty involved. Complex junctions are where roads meet and join in a complicated way and identifying...
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Yuanhui Wang, Changqing Song, Gary Sigley, Xiaoqiang Chen and Lihua Yuan
The new wave of modern rail transit and the proposal of the Belt and Road Initiative (BRI) have complicated the business patterns of the rolling stock manufacturing industry (RSMI) and the export of rolling stock products, especially in the case of count...
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Yunfei Zhang, Zexu Zhang, Jincai Huang, Tingting She, Min Deng, Hongchao Fan, Peng Xu and Xingshen Deng
With the rapid development of urban traffic, accurate and up-to-date road maps are in crucial demand for daily human life and urban traffic control. Recently, with the emergence of crowdsourced mapping, a surge in academic attention has been paid to gene...
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Hao Li, Maosheng Hu and Youxin Huang
The identification of overpass structures in road networks has great significance for multi-scale modeling of roads, congestion analysis, and vehicle navigation. The traditional vector-based methods identify overpasses by the methodologies coming from co...
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Chaofeng Liu, He Yin, Yixin Sun, Ling Wang and Xiaodong Guo
Accurately identifying the key nodes of the road network and focusing on its management and control is an important means to improve the robustness and invulnerability of the road network. In this paper, a classification and identification method of key ...
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Khaled Hazaymeh, Ali Almagbile and Ahmad H. Alomari
This paper aims to explore the spatiotemporal pattern of traffic accidents using five years of data between 2015 and 2019 for the Irbid Governorate, Jordan. The spatial pattern of traffic-accident hotspots and their temporal evolution were identified alo...
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Qirui Wu, Zhigang Han, Caihui Cui, Feng Liu, Yifan Zhao and Zhaoxin Xie
Road vulnerability is crucial for enhancing the robustness of urban road networks and urban resilience. In medium or large cities, road failures in the face of unexpected events, such as heavy rainfall, can affect regional traffic efficiency and operatio...
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Cristiano M. Silva, Lucas D. Silva, Leonardo A. L. Santos, João F. M. Sarubbi and Andreas Pitsillides
Over the past few decades, the growth of the urban population has been remarkable. Nowadays, 50% of the population lives in urban areas, and forecasts point that by 2050 this number will reach 70%. Today, 64% of all travel made is within urban environmen...
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Yuanhong Qiu, Jian Yin, Ting Zhang, Yiming Du and Bin Zhang
A-level scenic spots are a unique evaluation form of tourist attractions in China, which have an important impact on regional tourism development. Guizhou is a key tourist province in China. In recent years, the number of A-level scenic spots in Guizhou ...
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Xuejun Chen, Yang Huang and Yuesheng Chen
Based on Ctrip?s ?tourism digital footprint?, the spatial pattern of tourism flows in the Chengdu?Chongqing Economic Circle from 2018 to 2021 is explored, social network analysis and spatial visualisation of tourism information data are conducted, and fa...
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Pavlína Netrdová and Vojtech Nosek
This paper focuses on the analysis of unemployment data in Czechia on a very detailed spatial structure and yearly, extended time series (2002?2019). The main goal of the study was to examine the spatial dimension of disparities in regional unemployment ...
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Mikolaj Karpinski, Svitlana Kuznichenko, Nadiia Kazakova, Oleksii Fraze-Frazenko and Daniel Jancarczyk
This paper proposes an approach to the geospatial assessment of a territorial road network based on the fractals theory. This approach allows us to obtain quantitative values of spatial complexity for any transport network and, in contrast to the classic...
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Yi Zhang, Zheng Tian, Jiacheng Du and Shibo Bi
Assessment of the spatial distribution and accessibility of traditional villages is closely related to their development. However, the impacts of spatial heterogeneity on the accessibility of traditional villages remain largely unknown. A total of 644 na...
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Markus Schaffert, Konstantin Geist, Jonathan Albrecht, Dorothea Enners and Hartmut Müller
In this article, we describe the design of a method for measuring walkability and its application in two medium-sized cities in Germany. The method modifies the established Walk Score with regard to the needs of older people. While the original Walk Scor...
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Xiaojie Cui, Jiayao Wang, Fang Wu, Jinghan Li, Xianyong Gong, Yao Zhao and Ruoxin Zhu
The spatial pattern is a kind of typical structural knowledge that reflects the distribution characteristics of object groups. As an important semantic pattern of road networks, the city center is significant to urban analysis, cartographic generalizatio...
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Shanjiang Zhu and David Levinson
Planning models require consideration of travelers with distinct attributes (value of time (VOT), willingness to pay, travel budgets, etc.) and behavioral preferences (e.g., willingness to switch routes with potential savings) in a differentiated market ...
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Shanjiang Zhu and David Levinson
Planning models require consideration of travelers with distinct attributes (value of time (VOT), willingness to pay, travel budgets, etc.) and behavioral preferences (e.g., willingness to switch routes with potential savings) in a differentiated market ...
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Kaisheng Zhang, Daniel (Jian) Sun, Suwan Shen, Yi Zhu
With the development of in-vehicle data collection devices, GPS trajectory has become a priority source to identify traffic congestion and understand the operational states of road network in recent years. This study aims to investigate the relationship...
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Minoru Osawa, Haoran Fu, Takashi Akamatsu
Pág. 303 - 321
We study a parsimonious theory that synthesizes short-term traffic demand management (TDM) policies with long-term endogenous heterogeneities of demand. In a corridor network with multiple discrete bottlenecks, we study a model of system optimal assignme...
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