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IF 9.9 1区 工程技术 Q1 TRANSPORTATION
Transport Reviews
Pub Date : 2025-01-01
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引用次数: 0
IF 9.9 1区 工程技术 Q1 TRANSPORTATION
Transport Reviews
Pub Date : 2025-01-01
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":48197,"journal":{"name":"Transport Reviews","volume":"45 1","pages":"Pages 77-93"},"PeriodicalIF":9.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146831479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
IF 9.9 1区 工程技术 Q1 TRANSPORTATION
Transport Reviews
Pub Date : 2025-01-01
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":48197,"journal":{"name":"Transport Reviews","volume":"45 3","pages":"Pages 366-389"},"PeriodicalIF":9.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146886221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
IF 9.9 1区 工程技术 Q1 TRANSPORTATION
Transport Reviews
Pub Date : 2025-01-01
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引用次数: 0
IF 9.9 1区 工程技术 Q1 TRANSPORTATION
Transport Reviews
Pub Date : 2025-01-01
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引用次数: 0
IF 9.9 1区 工程技术 Q1 TRANSPORTATION
Transport Reviews
Pub Date : 2025-01-01
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":48197,"journal":{"name":"Transport Reviews","volume":"45 1","pages":"Pages 149-171"},"PeriodicalIF":9.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146831476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
IF 9.9 1区 工程技术 Q1 TRANSPORTATION
Transport Reviews
Pub Date : 2025-01-01
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引用次数: 0
Forecasting travel in urban America: the socio-technical life of an engineering modeling world 美国城市旅行预测：工程建模世界的社会技术生活
IF 9.5 1区 工程技术 Q1 TRANSPORTATION
Transport Reviews
Pub Date : 2024-09-20 DOI: 10.1080/01441647.2024.2405212
Robert B. Noland
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引用次数: 0
Spatial factors associated with usage of different on-demand elements within mobility hubs: a systematic literature review 与使用交通枢纽内不同按需要素相关的空间因素：系统性文献综述
IF 9.5 1区 工程技术 Q1 TRANSPORTATION
Transport Reviews
Pub Date : 2024-09-13 DOI: 10.1080/01441647.2024.2400363
Michel Geipel , Beatriz Martinez-Rico , Benjamin Büttner , David Duran-Rodas
Mobility hubs offer a strategic opportunity to enhance multimodal transportation and reduce greenhouse gas emissions within the transport sector. Identifying the spatial factors determinants influencing the usage of mobility hub components is essential for policymakers and transport planners aiming to identify their optimal locations. This study undertakes a systematic literature review and ranking of spatial factors associated with the usage of key on-demand services within mobility hub elements, including bike sharing, scooter sharing, car sharing, ride hailing and taxi and electric vehicle charging stations. Utilising databases such as Web of Science, Google Scholar and Francis & Taylor, we evaluated 119 records, identifying 39 key factors from social and built environments that are associated with usage of the on-demand elements. Key findings highlight the significance of population density, employment density, proximity to public transport, recreational POIs and household income, along with a noted negative association with the factor slope. This research contributes to exploring how these factors align across various on-demand mobility services that can be potentially used for policymakers, and transportation planners in evaluating potential strategies for the optimal allocation and development of mobility hubs.
交通枢纽为加强多式联运和减少交通部门的温室气体排放提供了战略机遇。对于旨在确定其最佳位置的政策制定者和交通规划者来说，确定影响交通枢纽组成部分使用的空间因素至关重要。本研究对与交通枢纽要素中主要按需服务使用相关的空间因素进行了系统的文献综述和排序，包括共享单车、共享滑板车、共享汽车、叫车服务、出租车和电动汽车充电站。利用科学网、谷歌学术和弗朗西斯-泰勒等数据库，我们评估了 119 条记录，从社会和建筑环境中确定了 39 个与按需服务使用相关的关键因素。主要发现强调了人口密度、就业密度、公共交通就近性、娱乐性 POIs 和家庭收入的重要性，以及与斜率因素的显著负相关。这项研究有助于探索这些因素如何与各种按需移动服务相协调，从而为政策制定者和交通规划者评估移动枢纽的优化分配和发展战略提供潜在参考。
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引用次数: 0
Measuring transport-associated urban inequalities: Where are we and where do we go from here? 衡量与交通相关的城市不平等现象：我们身处何地，何去何从？
IF 9.5 1区 工程技术 Q1 TRANSPORTATION
Transport Reviews
Pub Date : 2024-08-15 DOI: 10.1080/01441647.2024.2389800
Esra Suel , Claude Lynch , Maria Wood , Tom Murat , Gerard Casey , Adam Dennett
Reducing urban inequalities is at the forefront of the global sustainable development agenda, as well as national and local policies. While existing measures of inequality are mostly focused on income and wealth, it is widely recognised that non-monetary disparities such as in health, education, and housing play a crucial role in creating and reinforcing inequalities. Transport plays a central role in mitigating inequalities by enhancing access to employment, education, and essential services. It is also directly and indirectly related to disparities in housing, neighbourhoods, and health. Policymakers increasingly recognize the potential of transport policies in addressing inequalities; however, the effects of interventions need to be understood beyond the transport sector only and should consider wider impacts. In this review, we concentrate on three interlinked sectors – housing, land-use, and transportation – where local governments possess some capacity to influence the processes by which inequalities are created and exacerbated. Currently, empirical research on inequalities within these domains is fragmented. Models and datasets used for scenario testing, planning, and intervention evaluation are often disjointed, sector-focused, and rarely consider distributional effects. Our aim is to critically review the literature across different disciplines and perspectives and propose future interdisciplinary directions towards better measurement and modelling of transport-associated inequalities.
减少城市不平等现象是全球可持续发展议程以及国家和地方政策的重中之重。尽管现有的不平等衡量标准主要集中在收入和财富方面，但人们普遍认为，非货币方面的差距，如健康、教育和住房方面的差距，在造成和加剧不平等方面发挥着至关重要的作用。交通通过增加获得就业、教育和基本服务的机会，在缓解不平等方面发挥着核心作用。交通也直接或间接地与住房、社区和健康方面的不平等有关。政策制定者越来越认识到交通政策在解决不平等问题方面的潜力；然而，对干预措施效果的理解不能仅限于交通部门，还应考虑更广泛的影响。在本综述中，我们将重点关注三个相互关联的领域--住房、土地使用和交通--在这些领域中，地方政府拥有一定的能力来影响不平等的产生和加剧过程。目前，有关这些领域内不平等现象的实证研究比较零散。用于情景测试、规划和干预评估的模型和数据集往往相互脱节，以部门为中心，很少考虑分配效应。我们的目的是批判性地回顾不同学科和视角的文献，并提出未来的跨学科方向，以便更好地测量和模拟与交通相关的不平等现象。
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