The impact of centroid connectors on transit assignment outcomes

被引:0
作者
Ouassim Manout
Patrick Bonnel
François Pacull
机构
[1] LAET,
[2] University of Lyon,undefined
[3] ENTPE,undefined
[4] CNRS,undefined
[5] Polytechnique,undefined
[6] Architecture and Performance,undefined
来源
Public Transport | 2020年 / 12卷
关键词
R41; R42;
D O I
暂无
中图分类号
学科分类号
摘要
In transit modeling, access and egress conditions are often overlooked. The most common modeling technique of these conditions relies on the use of centroid connectors. This definition often uses the geographic position of zone centroids and sets constraints on the maximum number and length of connectors. This definition is subject to spatial aggregation issues and has already been proven to bias car assignment outcomes. The impact on transit assignment outcomes has not yet been demonstrated. The current paper investigates the statistical impact of connectors on transit assignment outcomes in an urban model of Lyon in France. Findings suggest that transit ridership, total passenger-kilometers and transit transfers are dependent on the definition of centroid connectors. Setting arbitrary values for the maximum number and length of connectors statistically affects transit results. The pattern and magnitude of this impact vary, however, between transit modes. The bus and rapid bus systems have been shown to be more sensitive towards the definition of connectors than the subway and the light rail systems. These findings question, to a certain extent, the validity and reliability of transit modeling outcomes.
引用
收藏
页码:611 / 629
页数:18
相关论文
共 74 条
[1]  
Abrantes PA(2011)Meta-analysis of UK values of travel time: an update Transp Res Part A Policy Pract 45 1-17
[2]  
Wardman MR(2007)Case study: relationship of walk access distance to transit with service, travel, and personal characteristics J Urban Plan Dev 133 114-118
[3]  
Alshalalfah B(2009)Hyperstar: a multi-path Astar algorithm for risk averse vehicle navigation Transp Res Part B Methodol 43 97-107
[4]  
Shalaby AS(1997)The impact of rapid rail transit on economic development: the case of Atlanta’s MARTA J Urban Econ 42 179-204
[5]  
Bell MG(1974)Robust tests for the equality of variances J Am Stat Assoc 69 364-367
[6]  
Bollinger CR(1974)The small sample behavior of some statistics which test the equality of several means Technometrics 16 129-132
[7]  
Ihlanfeldt KR(2002)Effects of zoning structure and network detail on traffic demand modeling Environ Plan B Plan Des 29 37-52
[8]  
Brown MB(2016)The effects of access and accessibility on public transport users’ attitudes J Public Transp 19 97-113
[9]  
Forsythe AB(2013)Explaining walking distance to public transport: the dominance of public transport supply J Transp Land Use 6 5-20
[10]  
Brown MB(1989)Transit assignment to minimal routes: an efficient new algorithm Traffic Eng Control 30 491-494