Access and egress times to high-speed rail stations: a spatiotemporal accessibility analysis

Moyano, Amparo; Moya-Gómez, Borja; Puebla, Javier Gutiérrez

doi:10.1016/j.jtrangeo.2018.10.010

Cited by 43 publications

(20 citation statements)

References 33 publications

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“…In the development of urban agglomeration to a certain level, transportation network and the total economic volume of urban agglomeration, population are closely related [17]. In this paper, formulas (4)- (5) are used to calculate the measures of traffic integration level.…”

Section: Analysis On the Degree Of Transportation Integration In Urbamentioning

confidence: 99%

Research on Traffic Accessibility and Transportation Integration Level of Chang-Zhu-Tan City Group in China

Li¹,

Zhou²,

Ma³

et al. 2019

JGIS

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Aiming at the problem of lack of data model to analyze the level of transportation integration, the paper taking Changsha-Zhuzhou-Xiangtan City Group of China as the research object, based on the Gravity measurement model, transportation comprehensive distance model, weighted road density model, analysis of Changsha-Zhuzhou-Xiangtan City Group accessibility and transportation integration level. A new method to measure the level of traffic integration is proposed and verified by the road network data and socioeconomic data of Changsha-Zhuzhou-Xiangtan City Group. The results show that: Changsha-Zhuzhou-Xiangtan City Group traffic accessibility was "point to surface" shape distribution, taking the core region of Changsha as the optimal, Xiangtan, Zhuzhou, Changsha County next, in remote Yanling County, Chaling county has the lowest accessibility; the correlation between traffic network connection degree and economic connection degree reached 0.871, indicating that the transportation integration level of urban agglomerations has a high degree of fit with the level of economic integration. The research results on the one hand for the Chang-Zhuzhou-Xiangtan urban agglomeration traffic present situation to make an annotation; on the other hand, that provide a reference for further optimization of Changsha-Zhuzhou-Xiangtan urban agglomeration traffic planning.

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Section: Analysis On the Degree Of Transportation Integration In Urbamentioning

confidence: 99%

Research on Traffic Accessibility and Transportation Integration Level of Chang-Zhu-Tan City Group in China

Li¹,

Zhou²,

Ma³

et al. 2019

JGIS

View full text Add to dashboard Cite

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“…Here, if we consider travel time as the main factor explaining the level of modal shift from motorway to HSR services, ultimately it is the door-to-door travel time, as opposed to the stationto-station travel time, that matters for the mode choice decision. In other words, access and egress times to/from HSR stations are other determining factors in the overall journey time (Moyano et al, 2018). It is for this reason that HSR investments need to be accompanied by improvements in the accessibility of HSR stations.…”

Section: Discussionmentioning

confidence: 99%

On the modal shift from motorway to high-speed rail: evidence from Italy

Borsati

Albalate

2020

Transportation Research Part A: Policy and Practice

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Institute of Applied Economics (IREA) in Barcelona was founded in 2005, as a research institute in applied economics. Three consolidated research groups make up the institute: AQR, RISK and GiM, and a large number of members are involved in the Institute. IREA focuses on four priority lines of investigation: (i) the quantitative study of regional and urban economic activity and analysis of regional and local economic policies, (ii) study of public economic activity in markets, particularly in the fields of empirical evaluation of privatization, the regulation and competition in the markets of public services using state of industrial economy, (iii) risk analysis in finance and insurance, and (iv) the development of micro and macro econometrics applied for the analysis of economic activity, particularly for quantitative evaluation of public policies. IREA Working Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. For that reason, IREA Working Papers may not be reproduced or distributed without the written consent of the author. A revised version may be available directly from the author. Any opinions expressed here are those of the author(s) and not those of IREA. Research published in this series may include views on policy, but the institute itself takes no institutional policy positions.

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“…Condeço-Melhorado et al ( 2016 ) use the TomTom database to calculate internal travel distances for European NUTS-3 regions. Other studies are more oriented toward analysing daily variations in speed profiles for automobiles, which allows for an assessment of congestion impacts on accessibility (Moya-Gómez and García-Palomares 2015 , 2017 ; Moyano et al 2018 ) or analysing changes in spatial–temporal job accessibility during different periods (Moya-Gómez and Geurs 2018 ; Pritchard et al 2019 ). Also, TomTom is now offering a new web service for developers, Traffic Stats, 2 which collects FCD from TomTom navigation devices (in-dash systems and apps).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Moreover, this information reflects the temporal location of the main activity areas, in which there is a concentration of workers, tourists and/or residents, which can serve as a dynamic measure for a city’s activity hotspots. Accordingly, such dynamic data sources combined with other transport-oriented spatiotemporal information have become invaluable for their contribution to accessibility studies (Moya-Gómez et al 2018 ; Moyano et al 2018 ). However, the use of this spatial data in accessibility analysis is still in its early stages (Condeço-Melhorado et al 2018 ), although its potential for transportation studies is considerable.…”

Section: Literature Reviewmentioning

confidence: 99%

Traffic congestion and economic context: changes of spatiotemporal patterns of traffic travel times during crisis and post-crisis periods

et al. 2021

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This paper aims to evaluate the impacts of the economic context on traffic congestion and its consequential effects on private vehicle accessibility. We conduct a long-term analysis of spatiotemporal traffic congestion patterns in Madrid (Spain), comparing two urban realms: the 2008 economic crisis and the following post-crisis situation. We apply TomTom Speed Profiles data to assess daily variations in traffic congestion and their changes between both periods, and Twitter data to capture spatial patterns of the daily pulse of the city. Increased traffic, a by-product of economic recovery, resulted in higher congestion, particularly during peak hours. Nevertheless, these changes are spatially uneven. In the city core, an increase in congestion is relatively temporally homogeneous, while in the peripheral suburban zones, there has been only a marginal increase in travel times. On the other hand, in the urban outskirts, increased traffic congestion is more severe but visibly different between north and south. These differences have strong social connotations: over 40% of the population experienced a dramatic increase in travel times (more than 25%) during peak hours. Moreover, low-income groups are more likely to live in the more affected southern districts, suffering most the negative consequences of increased congestion.

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Access and egress times to high-speed rail stations: a spatiotemporal accessibility analysis

Cited by 43 publications

References 33 publications

Research on Traffic Accessibility and Transportation Integration Level of Chang-Zhu-Tan City Group in China

Research on Traffic Accessibility and Transportation Integration Level of Chang-Zhu-Tan City Group in China

On the modal shift from motorway to high-speed rail: evidence from Italy

Traffic congestion and economic context: changes of spatiotemporal patterns of traffic travel times during crisis and post-crisis periods

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