Accessibility model of BRT stop locations using Geographically Weighted regression (GWR): A case study in Banjarmasin, Indonesia

Saputra, Hendri Yani; Radam, Iphan Fitrian

doi:10.1016/j.ijtst.2022.07.002

Cited by 10 publications

(4 citation statements)

References 23 publications

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“…Transportation criterion (Infrastructure and Environmental Dimension) [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33] SNAPTA [34], [9], [12], [35], [14], [36], [37], [16], [17], [18], [38], [20], [22], [39], [40], [41], [42], [24], [43], [44], [25], [45], [46], [26], [...…”

Section: References Methods Main Datamentioning

confidence: 99%

Evaluating Urban Transportation Accessibility: A Systematic Review of Access Dimensions and Indicators

Pourramazani,

Miralles-Garcia

2023

IJTDI

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Urban transportation systems and their integration with spatially distributed opportunities are pivotal for ensuring effective accessibility. This study aims to rigorously evaluate urban accessibility by scrutinizing established criteria and measurement approaches within the literature. A systematic literature review was executed, targeting articles selected for their pertinence and citation impact. Through meticulous analysis, four cardinal indicators of access and their respective subsets were distilled. Synthesizing data from 61 scholarly publications elucidated the key indicators of accessibility. The findings underscore the adaptability and utility of these criteria as evaluative instruments and in guiding policy decisions. On the other hand, availability and quality of data, greater attention to travel reliability and user preferences are among the factors that should be considered in the accessibility assessment. The study's insights advocate for a nuanced application of accessibility indicators, promoting their evolution as multifaceted tools in urban planning domains. These results serve as a foundation for future research and contribute to the refinement of methods for comprehensive accessibility analysis in urban settings.

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Section: References Methods Main Datamentioning

confidence: 99%

Evaluating Urban Transportation Accessibility: A Systematic Review of Access Dimensions and Indicators

Pourramazani,

Miralles-Garcia

2023

IJTDI

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“…Compared with other general regression methods, GWR can be performed by using a fixed and adaptive kernel approach, bandwidth optimization using cross-validation (CV), or the Akaike information criterion corrected (AICc) method [ 43 ]- [ 44 ]. Each variable coefficient of the GWR has a sign and a value, and its increasing or decreasing changes have positive and negative signs, respectively.…”

Section: Geographically Weighted Regression (Gwr)mentioning

confidence: 99%

Study on the spatial accessibility and influencing factors of traditional villages in the Central Plains Urban Agglomeration of China

Zhang,

Li,

Zhao

et al. 2024

Preprint

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Traditional villages, as important carriers of rural tangible and intangible cultural heritage, have immeasurable economic and cultural value. However, complex geographical characteristics cause the spatial connection between traditional villages and the outside world to be inconvenient, and rapid urbanization ignores their development. Thus, the activation and utilization of traditional villages was difficult. Studying the spatial accessibility of traditional villages is important for development and utilization because of its theoretical and practical significance. A total of 696 traditional villages in the Central Plains Urban Agglomeration (CPUA) of China were taken as the research object, and kernel density estimation and the nearest neighbor index based on ArcGIS were used to analyze their spatial distribution characteristics. Then, the spatial accessibility time costs were calculated via the Amap API. Finally, the influence of each influencing factor was analyzed quantitatively via PCCs, OLS regression and GWR. The results showed that (1) the spatial distribution of traditional villages was clustered, and there was a high-value core-cluster area in the north and two subhigh-value areas in the central and southern parts. (2) The spatial accessibility level of traditional villages exhibited a “core-edge” pattern, decreasing from the core area to the edge area. (3) Factors that exhibited spatial heterogeneity. Influence from the largest to the smallest: slope, density of river, density of road, GDP, density of population, elevation. In addition, the elevation and density of rivers had the greatest impact intensity in the northeast, the slope had the greatest impact in the north, and the density of roads, GDP, and population had the greatest impact at the edge far from the core area.

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“…GWR is a regression analysis model that can be used to analyze data collected in a spatial unit. It has been applied in various fields, such as transportation and geography [15][16][17][18][19][20][21][22][23][24].…”

Section: Gwr Modelmentioning

confidence: 99%

Temporal Variation and Spatial Heterogeneity in Boarding/Alighting Patterns at Urban Railway Stations: Implications for Estimating Optimal Construction Scale—A Case Study in Seoul, South Korea

Cho,

Kim,

Lee

et al. 2024

Advances in Civil Engineering

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Urban railways have become a prominent mode of public transportation within cities owing to their connectivity with other modes of transport and environmental friendliness. Various policies, such as the expansion of metropolitan areas and the development of megacities, have further emphasized the pivotal role of urban railways. Consequently, more railway stations are expected to be constructed in developed cities. However, the temporal variation in boarding and alighting patterns at each railway station is often overlooked. Failing to account for this variation, specifically the differences in peak-hour concentration rates, in railway station design may cause increased conflicts among users owing to concentrated demands during specific time periods, exacerbating congestion and diminishing the appeal of the urban railway systems. Therefore, this study investigated the correlation between the temporal variation in boarding and alighting patterns and the attributes (location) of railway stations in Seoul, South Korea, and analyzed the spatial heterogeneity of this correlation. Initially, the factors influencing the peak-hour concentration rates in railway stations were identified using a linear regression model. Peak hours were defined as morning and afternoon peaks and boarding and alighting were differentiated to account for the directional aspects of temporal variations in boarding and alighting patterns. The correlation between boarding and alighting patterns and the attributes of railway station influence zones was determined, and a geographically weighted regression model was estimated to analyze the spatial heterogeneity of this correlation based on railway station location. The analysis results revealed that railway stations in the southeastern and downtown areas of Seoul exhibited varying impacts of station attributes on boarding and alighting patterns even when the station attribute influence zones were identical. The contribution of this study is to evaluate the priorities of railway projects and its corresponding transportation policies. Regarding the policy goal recently announced by the Korean government, “Achieving Commute Times in 30-min range,” our finding will provide a good measure of accessibility whether it succeeds or not.

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Accessibility model of BRT stop locations using Geographically Weighted regression (GWR): A case study in Banjarmasin, Indonesia

Cited by 10 publications

References 23 publications

Evaluating Urban Transportation Accessibility: A Systematic Review of Access Dimensions and Indicators

Evaluating Urban Transportation Accessibility: A Systematic Review of Access Dimensions and Indicators

Study on the spatial accessibility and influencing factors of traditional villages in the Central Plains Urban Agglomeration of China

Temporal Variation and Spatial Heterogeneity in Boarding/Alighting Patterns at Urban Railway Stations: Implications for Estimating Optimal Construction Scale—A Case Study in Seoul, South Korea

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