Study on the Influence Mechanism and Space Distribution Characteristics of Rail Transit Station Area Accessibility Based on MGWR

Li, Daoyong; Zang, Hengyi; Yu, Demiao; He, Qilin; Huang, Xiaoran

doi:10.3390/ijerph20021535

Cited by 6 publications

(4 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The study takes 22 community life circle units in the Hedong District as research units. The dependent variable is the per capita comprehensive accessibility, and the explanatory variables are picked from the built environment and socio-economic aspects as shown in Table 2, based on the relevant literature [68][69][70][71][72][73].…”

Section: Impact Factor Analysis Based On Geo-detectormentioning

confidence: 99%

Assessing the Spatial Equity of Multi-Type Health Service Facilities: An Improved Method Integrating Scale Accessibility and Type Diversity

Zeng,

Zuo,

et al. 2024

Land

View full text Add to dashboard Cite

Ensuring the spatial equity of health service facilities (HSFs) is crucial for the well-being of residents. However, previous research has predominantly focused on the accessibility and equity of single-type facilities, neglecting the residents’ demand for diversified types of health services. This study proposes a multi-type, Gaussian-based, two-step floating catchment area method (MT-G2SFCA) to assess the comprehensive accessibility and equity of multi-type HSFs in different age groups in the Hedong District of Tianjin, with the Gini coefficient and the bivariate local Moran’s I. Furthermore, the key factors affecting the accessibility were explored through a geo-detector. The results indicate the following: (1) Neglecting the health benefits of facility type diversity can result in an underestimation of the accessibility and equity; (2) neglecting the differences in walking ability of the elderly can result in an overestimation of the accessibility and equity; and (3) the Pedestrian Route Directness is the key factor affecting the accessibility and equity in high-density urban areas, and especially that the facility density is the key factor for the elderly. This research emphasizes the impact of facility type diversity on the accessibility and equity of HSFs, which can offer more precise and holistic technical assistance and policy recommendations for optimizing the allocation of HSFs.

show abstract

Section: Impact Factor Analysis Based On Geo-detectormentioning

confidence: 99%

Assessing the Spatial Equity of Multi-Type Health Service Facilities: An Improved Method Integrating Scale Accessibility and Type Diversity

Zeng,

Zuo,

et al. 2024

Land

View full text Add to dashboard Cite

show abstract

“…Urban PSFs, mainly supplied by municipalities, provide various public products and services to citizens [17]. Most studies on PSFs have recently focused on spatial location and layout [18,19], spatial distribution and accessibility [20][21][22], and social differentiation and its formation mechanisms. Most academics take their studies from their disciplines, focusing on individual facilities rather than holistic studies covering multiple public service facilities.…”

Section: Literature Reviewmentioning

confidence: 99%

Quantitative Evaluation of the Equity of Public Service Facility Layout in Urumqi City for Sustainable Development

Keyimu,

Abulikemu,

Abudurexiti

2024

Sustainability

View full text Add to dashboard Cite

Since the start of the new century, the focus of China’s socioeconomic development has gradually shifted from prioritizing efficiency to social equity, which is an important ingredient of sustainable development. The accessibility of public service facilities (PSFs) is vital for achieving social–spatial sustainability. As a basic tool for arranging PSFs, however, traditional urban plannings mainly focus on the spatial uniform distribution of facilities rather than the variance of the spatial distribution of populations they serve. So, by taking the dual perspective view, this paper quantitatively measures the balance of PSFs’ spatial distribution of and populations of Urumqi City at the sub-district level. Based on point of interest (POI) data, this paper calculates and analyzes Gini coefficients and location entropy of three basic PSF types: living service facilities (LSFs), primary schools and kindergartens (PSAKs), and medical facilities (MFs). The research finds that the Gini coefficients of LSFs, PSAKs, and MFs in Urumqi City are 0.42, 0.36, and 0.34, respectively. Moreover, there are three significant mismatch areas: an extremely high PSF index value in low-population sub-districts, an extremely low index value in remote suburbs, and an extremely low index value in the city center. These findings indicate an obvious imbalance between the spatial distribution of PSFs and the population in Urumqi, which may be a critical impediment to sustainable development. Based on these, this paper offers guidance for achieving sustainability in the allocation of spatial resources.

show abstract

“…Consequently, MGWR assigns different bandwidths for each explanatory variable. MGWR models have been recently applied for modeling ridership on metro station level (Yang et al, 2020;Liu et al, 2023), to evaluate rail transit station accessibility (Li et al, 2023), to assess the correlation between transport and property values (Liu et al, 2022) or the built environment (Zhu et al, 2023), and to examine the impact of shared mobility trips on taxi and public transit ridership (Tang et al, 2021).…”

Section: Gwr Based Modelling Within Transport Sciencementioning

confidence: 99%

Spatio-Temporal Investigation of Public Transport Demand Using Smart Card Data

Klar,

Rubensson

2023

Appl. Spatial Analysis

View full text Add to dashboard Cite

Policymakers must find efficient public transport solutions to promote sustainability and provide efficient urban mobility in the course of urban growth. A growing number of research papers are applying Geographically weighted regression (GWR) to model the relationship between public transport demand and its influential factors. However, few studies have considered the rapid development of journey inference from ticket transaction data. Similarly, the potential of GWR to analyze spatio-temporal changes that reflect changes in transportation supply and thus provide a measure for evaluating the local success of transport supply changes has yet to be exploited. In this paper, we use inferred journeys from smart card inferences as the dependent variable and analyze how public transport demand responds to a set of explanatory variables, emphasizing transport supply. Consequently, GWR and its successor Multiscale Geographically Weighted Regression (MGWR) are applied to analyze the spatially varying impact of transport supply changes for seven consecutive time frames between autumn 2017 and spring 2020, allowing conclusions about local changes in transport demand, as well as the benchmarking of transport supply changes. The (M)GWR framework’s predictive power is evaluated by training the model with past transport supply data and testing the model with data from the following consecutive years. The conducted analyses reveal that the (M)GWR model, using inferred journeys and transport supply data, can retrospectively predict the impact of transport supply changes on travel behavior and thus provides conclusions about the success of transport policies.

show abstract

Study on the Influence Mechanism and Space Distribution Characteristics of Rail Transit Station Area Accessibility Based on MGWR

Cited by 6 publications

References 21 publications

Assessing the Spatial Equity of Multi-Type Health Service Facilities: An Improved Method Integrating Scale Accessibility and Type Diversity

Assessing the Spatial Equity of Multi-Type Health Service Facilities: An Improved Method Integrating Scale Accessibility and Type Diversity

Quantitative Evaluation of the Equity of Public Service Facility Layout in Urumqi City for Sustainable Development

Spatio-Temporal Investigation of Public Transport Demand Using Smart Card Data

Contact Info

Product

Resources

About