transit;
bus lines;
demand responsive services;
service level;
distance traveled;
NETWORK DESIGN;
D O I:
10.1080/03081060903119618
中图分类号:
U [交通运输];
学科分类号:
08 ;
0823 ;
摘要:
Public transport systems are confronted by the need to improve their economic effectiveness in order to meet customer requirements at acceptable costs for transit providers, which are often heavily subsidized. Our goal is to understand how the organizational form of the transit system impacts on system productivity. Our methodology consists of comparing performance in terms of distance traveled of two competing transit services, a traditional fixed-route and a demand responsive service, while ensuring a comparable service to the same set of customers. We consider several scenarios, which depend on the road network, service quality level, and demand density. According to our findings, demand responsive transit services perform better for high-quality service levels and low demand density scenarios.
机构:
Beijing Jiaotong Univ, Key Lab Transport Ind Big Data Applicat Technol Co, Minist Transport, Beijing 100044, Peoples R ChinaBeijing Jiaotong Univ, Key Lab Transport Ind Big Data Applicat Technol Co, Minist Transport, Beijing 100044, Peoples R China
He, Dongdong
Guan, Wei
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机构:
Beijing Jiaotong Univ, Key Lab Transport Ind Big Data Applicat Technol Co, Minist Transport, Beijing 100044, Peoples R ChinaBeijing Jiaotong Univ, Key Lab Transport Ind Big Data Applicat Technol Co, Minist Transport, Beijing 100044, Peoples R China
Guan, Wei
Liu, Tao
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机构:
Southwest Jiaotong Univ, Sch Transportat & Logist, Natl Engn Lab Integrated Transportat Big Data Appl, Chengdu 611756, Peoples R China
Southwest Jiaotong Univ, Inst Syst Sci & Engn, Sch Transportat & Logist, Chengdu 611756, Peoples R ChinaBeijing Jiaotong Univ, Key Lab Transport Ind Big Data Applicat Technol Co, Minist Transport, Beijing 100044, Peoples R China
Liu, Tao
Zhang, Wenyi
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机构:
Beijing Jiaotong Univ, Key Lab Transport Ind Big Data Applicat Technol Co, Minist Transport, Beijing 100044, Peoples R ChinaBeijing Jiaotong Univ, Key Lab Transport Ind Big Data Applicat Technol Co, Minist Transport, Beijing 100044, Peoples R China
机构:
Univ Hong Kong, Dept Civil Engn, Hong Kong, Peoples R ChinaUniv Hong Kong, Dept Civil Engn, Hong Kong, Peoples R China
Wong, R. C. P.
Yang, Linchuan
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机构:
Southwest Jiaotong Univ, Sch Architecture, Dept Urban & Rural Planning, Chengdu, Peoples R ChinaUniv Hong Kong, Dept Civil Engn, Hong Kong, Peoples R China
Yang, Linchuan
Szeto, W. Y.
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机构:
Univ Hong Kong, Dept Civil Engn, Hong Kong, Peoples R China
Guangdong Hong Kong Macau Joint Lab Smart Cities, Hong Kong, Guangdong, Peoples R ChinaUniv Hong Kong, Dept Civil Engn, Hong Kong, Peoples R China
机构:
Ben Gurion Univ Negev, Dept Ind Engn & Management, POB 653, IL-84105 Beer Sheva, IsraelBen Gurion Univ Negev, Dept Ind Engn & Management, POB 653, IL-84105 Beer Sheva, Israel