Measuring the Spatial Spillover Effects of Multimodel Transit System in Beijing: A Structural Spatial Vector Autoregressive Approach

Changes in local transit passenger flow may cause a spatial spillover effect across the involved regions and affect traffic patterns in other regions. To identify the affected areas and the traffic patterns, this study develops an enhanced spatial vector autoregressive (SpVAR) model to investigate r...

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Main Authors: Honghai Li, Xiaolei Ma, Xian Zhang, Xin Li, Weihan Xu
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2020/8870449
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author Honghai Li
Xiaolei Ma
Xian Zhang
Xin Li
Weihan Xu
author_facet Honghai Li
Xiaolei Ma
Xian Zhang
Xin Li
Weihan Xu
author_sort Honghai Li
collection DOAJ
description Changes in local transit passenger flow may cause a spatial spillover effect across the involved regions and affect traffic patterns in other regions. To identify the affected areas and the traffic patterns, this study develops an enhanced spatial vector autoregressive (SpVAR) model to investigate relations in public transport systems in the case of sudden large passenger flow impact. The proposed model captures the interacted correlation within different transit models in separated regions. Three representative commuting regions in Beijing, namely, Zhongguancun, Guomao, and Huilongguan, are employed for empirical study. Results confirm the existence of spatial spillover effect in the commuter regions and reveal heterogeneous effects of multimodal transit system on regions with different distances.
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id doaj-art-2c2d652b709e4970b06dd3b52f06c0bd
institution Kabale University
issn 0197-6729
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language English
publishDate 2020-01-01
publisher Wiley
record_format Article
series Journal of Advanced Transportation
spelling doaj-art-2c2d652b709e4970b06dd3b52f06c0bd2025-08-20T03:55:17ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/88704498870449Measuring the Spatial Spillover Effects of Multimodel Transit System in Beijing: A Structural Spatial Vector Autoregressive ApproachHonghai Li0Xiaolei Ma1Xian Zhang2Xin Li3Weihan Xu4School of Transportation Science and Engineering, Beijing Key Laboratory for Cooperative Vehicle Infrastructure System and Safety Control, Beihang University, Beijing 100191, ChinaSchool of Transportation Science and Engineering, Beijing Key Laboratory for Cooperative Vehicle Infrastructure System and Safety Control, Beihang University, Beijing 100191, ChinaSchool of Transportation Science and Engineering, Beijing Key Laboratory for Cooperative Vehicle Infrastructure System and Safety Control, Beihang University, Beijing 100191, ChinaCollege of Transportation Engineering, Dalian Maritime University, Dalian 116026, ChinaCollege of Transportation Engineering, Dalian Maritime University, Dalian 116026, ChinaChanges in local transit passenger flow may cause a spatial spillover effect across the involved regions and affect traffic patterns in other regions. To identify the affected areas and the traffic patterns, this study develops an enhanced spatial vector autoregressive (SpVAR) model to investigate relations in public transport systems in the case of sudden large passenger flow impact. The proposed model captures the interacted correlation within different transit models in separated regions. Three representative commuting regions in Beijing, namely, Zhongguancun, Guomao, and Huilongguan, are employed for empirical study. Results confirm the existence of spatial spillover effect in the commuter regions and reveal heterogeneous effects of multimodal transit system on regions with different distances.http://dx.doi.org/10.1155/2020/8870449
spellingShingle Honghai Li
Xiaolei Ma
Xian Zhang
Xin Li
Weihan Xu
Measuring the Spatial Spillover Effects of Multimodel Transit System in Beijing: A Structural Spatial Vector Autoregressive Approach
Journal of Advanced Transportation
title Measuring the Spatial Spillover Effects of Multimodel Transit System in Beijing: A Structural Spatial Vector Autoregressive Approach
title_full Measuring the Spatial Spillover Effects of Multimodel Transit System in Beijing: A Structural Spatial Vector Autoregressive Approach
title_fullStr Measuring the Spatial Spillover Effects of Multimodel Transit System in Beijing: A Structural Spatial Vector Autoregressive Approach
title_full_unstemmed Measuring the Spatial Spillover Effects of Multimodel Transit System in Beijing: A Structural Spatial Vector Autoregressive Approach
title_short Measuring the Spatial Spillover Effects of Multimodel Transit System in Beijing: A Structural Spatial Vector Autoregressive Approach
title_sort measuring the spatial spillover effects of multimodel transit system in beijing a structural spatial vector autoregressive approach
url http://dx.doi.org/10.1155/2020/8870449
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