Spatial-Temporal Evolution and Influencing Mechanism of Traffic Dominance in Qinghai-Tibet Plateau

Abstract

Transportation is an important resource for the sustainable development of the Qinghai-Tibet Plateau. It is of great practical significance to evaluate and study the law and mechanism of spatial and temporal differentiation of traffic dominance degree. Based on the methods of the Origin-Destination cost matrix, least squares method, and geographically weighted regression, this paper establishes a traffic dominance evaluation system at the county scale and discusses the spatial pattern and influence of traffic dominance in the Qinghai-Tibet Plateau from 2015 to 2019. The results show that: (1) The overall traffic construction of the Qinghai-Tibet Plateau has been accelerated, and the traffic accessibility between counties has been significantly enhanced; (2) The traffic dominance of the Qinghai-Tibet Plateau is significantly different from east to west, and the central area, with “Xining-Lhasa” as the axis, expands to the outer circle with an irregularly decreasing spatial pattern; and (3) The effect of rapid urbanization development and population carrying capacity enhancement on the traffic dominance of the Qinghai-Tibet Plateau has gradually increased, and the effect of elevation has been weakening from 2015 to 2019.

Assessing the effects of the large‐scale road construction on the ethnic disparities of accessibility in Tibet from 2010 to 2020

“…Consistent with the findings of existing research, this paper found that both territorial and potential accessibility tend to be unequal, which reveals that there are still many deficiencies in of accessibility in Tibet at the rapid development stage of transportation construction here (Gao et al., 2019; Wang et al., 2022; Wang et al., 2022b). However, there is still different from the conclusion that the fairness of accessibility at township level is declining (Gao & Sun, 2022).…”

“…The fairness of transport accessibility is an important condition for realizing the sustainable development of Tibet (Gao & Sun, 2022; Wang et al., 2022). The findings of this study may provide reference to the areas in the world which features a unique natural environment and vulnerable ecological environment as well as the areas with slow social development, sparse population density, and multiple ethnic groups.…”

The Evolution and Economic and Social Effects of the Spatial and Temporal Pattern of Transport Superiority Degree in Southern Xinjiang, China

“…Subsequently, many scholars applied and further developed TSD assessments in regions with diverse characteristics, including provinces [5], counties [6], rural areas [7], and mountainous terrain [8]. Notable advancements have centered around the following: improved indicator selection: various indicators have been developed to address specific issues, such as accessibility to different transportation modes [9], weighted shortest distance [10], road traffic volume [11], and population density weighting [12]. These indicators aim to capture the nuances of regional transportation service supply and demand; enhanced calculation accuracy: evaluations have been refined by considering factors such as airports [9], seaports [5], proximity to highways and their exits [13], and incorporating terrain correction coefficients or terrain impact factors [8].…”

“…Notable advancements have centered around the following: improved indicator selection: various indicators have been developed to address specific issues, such as accessibility to different transportation modes [9], weighted shortest distance [10], road traffic volume [11], and population density weighting [12]. These indicators aim to capture the nuances of regional transportation service supply and demand; enhanced calculation accuracy: evaluations have been refined by considering factors such as airports [9], seaports [5], proximity to highways and their exits [13], and incorporating terrain correction coefficients or terrain impact factors [8]. These refinements ensure that assessments better reflect real-world conditions, particularly in regions with significant terrain variations; and adapting to transportation trends: the discussion of regional TSD now incorporates considerations of rapid transportation, especially high-speed rail development [6,13].…”

Urban Traffic Dominance: A Dynamic Assessment Using Multi-Source Data in Shanghai

“…In urban infrastructure, the city transportation network is complex and intricate, serving as a necessary prerequisite and crucial support for regional socio-economic development [1,2]. It is the precursor and core of regional development and urban structure shaping [3], determining residents' quality of life and the sustainable development of the city.…”