Spatiotemporal exploration of the non-linear impacts of accessibility on metro ridership

Du, Qiang; Zhou, Yuqing; Huang, Youdan; Wang, Yalei; Bai, Libiao

doi:10.1016/j.jtrangeo.2022.103380

Cited by 43 publications

(31 citation statements)

References 52 publications

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“…space accessibility studies [82,83]. The common issue of "walkab ership" [86][87][88] inaccessibility is that they both belong to the mo ference is that the method of travel is different. Similarly, the diff reflected in the "social inequalities" of residents [13,14,89].…”

Section: Examination Of Past and Present Research Hotspotsmentioning

confidence: 99%

“…"Thermal comfort" is generally related to the spatial accessibility of green spaces and is the starting point for green space accessibility studies [82,83]. The common issue of "walkability" [16,84,85] and "ridership" [86][87][88] inaccessibility is that they both belong to the mode of travel, and the difference is that the method of travel is different. Similarly, the difference in accessibility is reflected in the "social inequalities" of residents [13,14,89].…”

Section: Examination Of Past and Present Research Hotspotsmentioning

confidence: 99%

See 1 more Smart Citation

Bibliometric Analysis of Spatial Accessibility from 1999–2022

Zhu,

Li,

Yuan

et al. 2023

Sustainability

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Spatial accessibility is an essential manifestation of social equity and spatial planning. However, when examining spatial accessibility, systematic review studies dominate the literature, with fewer studies employing evaluative and relational bibliometric approaches. Thus, to provide a comprehensive overview of spatial accessibility research from 1999 to 2022, the works of literature referenced and analyzed by the Web of Science during 1999–2022 were analyzed: bibliometrics and scientific mapping methods using R software, the biblioshiny web program, tidyverse (ggplot2), and VOSviewer. The analysis results indicate a significant increase in the number of research papers addressing spatial accessibility throughout the research period accompanied by a continuous expansion of the research area. Collaboration and research endeavors among countries in this domain have deepened, leading to a continual improvement in the quality of papers. In addition, influential journals, authors, and articles in the field of spatial accessibility were also counted. New data, methods, and technology will become substantially more critical in accessibility research.

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Section: Examination Of Past and Present Research Hotspotsmentioning

confidence: 99%

Section: Examination Of Past and Present Research Hotspotsmentioning

confidence: 99%

Bibliometric Analysis of Spatial Accessibility from 1999–2022

Zhu,

Li,

Yuan

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 99%

“…Accessibility, a concept proposed by Hansen (1959) to represent spatial interaction indices, is widely researched across various fields, such as economics, geography, and sociology; however, there is currently no standardized definition or measure (Kc et al., 2020; Lawal & Anyiam, 2019). For transportation systems, accessibility refers to the ease of access to all modes of transport from any origin, thus providing feedback for transport planning and demand management (Du et al., 2022; Lessa et al., 2019; Saghapour et al., 2016; Sun & Quan, 2020; Zuo et al., 2020). For public service facilities, accessibility refers to the ease of acquiring public services and can be used to evaluate the standard of living and well‐being of people in a particular area (Luo & Wang, 2003; Lwin & Murayama, 2011; Tao & Wang, 2022; Vega, 2012; Witten et al., 2003).…”

Section: Introductionmentioning

confidence: 99%

How does multi‐modal travel enhance tourist attraction accessibility? A refined two‐step floating catchment area method using multi‐source data

Zhang,

Fu,

et al. 2024

Transactions in GIS

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In the post‐pandemic era, tourism has emerged as the most popular form of recreation in densely populated areas, driven by the pursuit of improved quality of life and the younger generation's growing enthusiasm for connecting with nature or history. Accurate measurement of the accessibility of tourist attractions has become crucial due to this trend. However, existing methods for measuring accessibility, such as the widely used two‐step floating catchment area (2SFCA) method, show limitations in multi‐modal transport networks as it overlooks multi‐modal travels and assumes uniform access for each transport mode within the catchment area. In this article, we present a novel multi‐modal network‐based two‐step floating catchment area (MMN‐2SFCA) method, which incorporates a super‐network to explicitly model the multi‐modal travels. The proposed method emphasizes the modeling of transfer behavior, resulting in a more comprehensive and accurate measurement of tourist attraction accessibility compared to the conventional 2SFCA method. The proposed method emphasizes the modeling of transfer behavior, travel mode choice, and travel demand estimation by multi‐source big data (including mobile phone signaling data, travel survey data, subway smart card data, and bike‐sharing data), resulting in a more comprehensive and accurate measurement of tourist attraction accessibility compared to the conventional 2SFCA method. The results of the case study in Suzhou (a famous tourism city in China) demonstrate the effectiveness of the proposed MMN‐2SFCA method. The method can rectify the imbalance in accessibility distribution caused by considering only single‐modal trips, and avoid overestimation of accessibility by accounting for transfer behavior. This study contributes to advancing accessibility measurement for multi‐modal transport networks. Moreover, the MMN‐2SFCA method offers excellent extensibility, enabling authorities to optimize and coordinate multi‐modal transport networks for improving the accessibility of tourist attractions and other facilities.

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“…As an important public transportation mode, metro systems have been constructed in many large cities worldwide to provide better transportation services and address urban issues, like traffic congestion and air pollution. They can be more attractive for passengers if the accessibility to metro systems can be improved (Du et al, 2022), for example, by providing convenient bike-sharing service and improving efficient bike-metro integration (Chen et al, 2019). Bike-metro integration acts as a more representative mode of bike-and-ride in comparison with bike-bus integration, because bus stops are usually densely distributed, attracting more access/egress trips by walking (Zhao and Li, 2017).…”

Section: Introductionmentioning

confidence: 99%

Assessing bike accessibility to metro systems by integrating crowdedness

Lin

Zhang

Meng

2023

Transactions in Urban Data, Science, and Technology

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Bike-metro integration is regarded as an effective means of improving the access to metro systems. This study aims to assess the metro accessibility by biking at a finer spatiotemporal scale using a real bike trajectory dataset generated by cyclists. To achieve this goal, we propose a metro accessibility level (MAL) indicator that explicitly integrates metro crowdedness into the accessibility measurement. We then introduce a method to examine the possibility of avoiding metro crowdedness by using the bike as the access mode. The proposed indicator and method are applied to Shanghai, China as a case study. Results show that bike-metro integration increases the accessibility to metro systems in terms of larger population coverage and a higher accessibility level. Omitting the metro crowdedness leads to an overestimation of the accessibility to metro systems, and the overestimation for the morning peak is larger than that of the afternoon peak. Only 19% of the population in walking catchment areas of crowded stations can shift from crowded stations to non-crowded ones. These results provide a good reference for transportation planning, modeling, and policymaking to improve bike-metro integration.

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Spatiotemporal exploration of the non-linear impacts of accessibility on metro ridership

Cited by 43 publications

References 52 publications

Bibliometric Analysis of Spatial Accessibility from 1999–2022

Bibliometric Analysis of Spatial Accessibility from 1999–2022

How does multi‐modal travel enhance tourist attraction accessibility? A refined two‐step floating catchment area method using multi‐source data

Assessing bike accessibility to metro systems by integrating crowdedness

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