Measuring spatiotemporal accessibility for pediatric clinical services with multimodal transport modes: an exploratory analysis in Nanjing, China

2020 ◽  
Author(s):  
Xinxin Zhou ◽  
LinWang Yuan ◽  
Changbin Wu ◽  
Zhaoyuan Yu ◽  
Lei Wang
Keyword(s):  
Healthcare Services ◽  
Spatiotemporal Variation ◽  
Distribution Data ◽  
Dynamic Traffic ◽  
Web Mapping ◽  
Traffic Conditions ◽  
Pediatric Clinic ◽  
Multimodal Transport ◽  
Variation Characteristics ◽  
Transport Modes

Abstract Background: Healthcare accessibility research is developing towards a focus on multimodal transport modes (MTM) and spatiotemporal variation. Dynamic traffic conditions lead residents to make distinct traveling decisions in different timepoints, which has an impact on the spatiotemporal accessibility of healthcare. Pediatric clinic services (PCS) are one of the typical healthcare services that require a diagnosis through a professional physician clinic.Results: This paper aims to examine a methodological framework for the spatiotemporal accessibility of PCS (STA-PCS) and obtains its spatiotemporal variation characteristics. We design a spatial time impedance of multimodal transport modes (STI-MTM) model, which considers residential transport mode choices and adopt a gravity model based on web mapping data and population spatial distribution data to measure STA-PCS. We selected Nanjing, China, as the study area to estimate the STA-PCS value at four timepoints. The results indicate that the spatial aggregate of PCS is evident, and dynamic traffic factors influence the volatility of STA-PCS.Conclusions: This work holds pragmatic implications for policymakers on the STA-PCS considered travel characteristics based on georeferenced social media data.

scholarly journals Exploring spatiotemporal variation characteristics of exceedance air pollution risk using social media big data

2020 ◽  
Vol 15 (11) ◽  
pp. 114049
Author(s):  
Zheng Cao ◽  
Zhifeng Wu ◽  
Shaoying Li ◽  
Wenjun Ma ◽  
Yujiao Deng ◽  
...  
Keyword(s):  
Social Media ◽  
Air Pollution ◽  
Big Data ◽  
Spatiotemporal Variation ◽  
Pollution Risk ◽  
Variation Characteristics

scholarly journals Spatial and temporal variations of precipitation during 1979–2015 in Jinan City, China

2017 ◽  
Vol 9 (3) ◽  
pp. 540-554 ◽  
Author(s):  
Xiaodong Chang ◽  
Zongxue Xu ◽  
Gang Zhao ◽  
Tao Cheng ◽  
Sulin Song
Keyword(s):  
Urban Areas ◽  
Temporal Variations ◽  
Spatiotemporal Variation ◽  
Trend Test ◽  
Mountainous Area ◽  
Plain Area ◽  
Increasing Trend ◽  
Variation Characteristics ◽  
Jinan City ◽  
Northern Plain

Abstract The spatiotemporal variation of precipitation significantly affects regional hydrological processes and the management of water resources worldwide, indirectly contributing to an aggravation in the frequency and intensity of extreme events, especially in urban areas. To analyze the spatiotemporal variation characteristics of precipitation during 1979–2015 in Jinan City, the China Meteorological Forcing Dataset and 12 precipitation-related indices are adopted and analyzed by using Mann–Kendall trend test, Sen's slope estimator and Pettitt test in this study. The results show that: (1) the annual mean precipitation (AMP) shows a gradual increasing trend from the northern plain area to the southern mountainous area; (2) the heaviest summer precipitation occurs in the southern part of downtown with a high frequency, resulting in the drastic amplification of urban rainstorm flood disasters; (3) the spatial distributions of most indices show a gradual increasing trend from the northern plain area to the southern mountainous area, while consecutive dry days show the opposite tendency; and (4) most indices roughly show similar spatiotemporal variation characteristics with AMP, i.e., decreases in southwestern area, but increases in the eastern mountainous region and the north plain area, exhibiting an overall increasing trend at the 1% significance level.

scholarly journals Modeling a Distance-Based Preferential Fare Scheme for Park-and-Ride Services in a Multimodal Transport Network

2021 ◽  
Vol 13 (5) ◽  
pp. 2644
Author(s):  
Xinyuan Chen ◽  
Ruyang Yin ◽  
Qinhe An ◽  
Yuan Zhang
Keyword(s):  
Public Transport ◽  
Urban Areas ◽  
Choice Behavior ◽  
Programming Model ◽  
Choice Model ◽  
User Equilibrium ◽  
Transport Network ◽  
Park And Ride ◽  
Multimodal Transport ◽  
Transport Modes

This paper investigates a distance-based preferential fare scheme for park-and-ride (P&R) services in a multimodal transport network. P&R is a sustainable commuting approach in large urban areas where the service coverage rate of conventional public transport modes (e.g., train and bus) is poor/low. However, P&R services in many cities are less attractive compared to auto and other public transport modes, especially for P&R facilities sited far away from the city center. To address this issue, this paper proposes a distance-based preferential fare scheme for P&R services in which travelers who choose the P&R mode get a discount. The longer the distance they travel by train, the better the concessional price they get. A multimodal transport network equilibrium model with P&R services is developed to evaluate the impacts of the proposed distance-based fare scheme. The travelers’ mode choice behavior is modeled by the multinomial logit (MNL) discrete choice model, and their route choice behavior is depicted by the user equilibrium condition. A mathematical programming model is then built and subsequently solved by the outer approximation method. Numerical simulations demonstrate that the proposed distance-based preferential fare scheme can effectively motivate travelers to use a P&R service and significantly enhance the transport network’s performance.

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