Case Studies on Transport Policy最新文献_第6页

Port operators’ perceptions and acceptance of maritime autonomous surface ships (MASS) operations: insights from Malaysia 港口运营商对海上自主水面舰艇（MASS）运营的看法和接受度：来自马来西亚的见解

IF 3.3

Case Studies on Transport Policy Pub Date : 2025-08-15 DOI: 10.1016/j.cstp.2025.101567

Mohammad Khairuddin Othman , Nurul Syifaa Atiqah Mohd Sabri , Noorul Shaiful Fitri Abdul Rahman , Noor Apandi Osnin

{"title":"Port operators’ perceptions and acceptance of maritime autonomous surface ships (MASS) operations: insights from Malaysia","authors":"Mohammad Khairuddin Othman , Nurul Syifaa Atiqah Mohd Sabri , Noorul Shaiful Fitri Abdul Rahman , Noor Apandi Osnin","doi":"10.1016/j.cstp.2025.101567","DOIUrl":"10.1016/j.cstp.2025.101567","url":null,"abstract":"<div><div>Maritime autonomous surface ships (MASS) have emerged as a prominent topic, representing a novel technology pioneered by advanced nations. However, the surging interest in MASS in the shipping landscape of the future has prompted apprehension among port operators worldwide, with concerns spanning various domains, including port operations, safety and security, economic ramifications, workforce implications, legal and regulatory challenges, as well as marine technical and environmental considerations. This research aimed to explore the potential impacts of autonomous vessel operations on maritime ports, with a particular focus on the acceptance levels of major port operators in Peninsular Malaysia. A systematic multiphase mixed-methods approach was used to appropriately analyse the primary and secondary data obtained from a literature review, interviews, and questionnaire survey. Through these methodological avenues, the study identified 21 potential impacts of autonomous vessel operations on port operators. Among these, six key impacts garnered less acceptance from port operators regarding the integration of autonomous vessels into major ports. These impacts encompassed the risks associated with human error, concerns pertaining to insurance and liability, complexity in berth occupancy and port traffic management, the unpredictability of pollution, exploration of natural environments for port development, and the concomitant pressure on environmental preservation efforts. These insights provided a comprehensive overview of the key considerations essential for navigating the path towards integrating future autonomous vessel operations and facilitating development within the maritime industry in Malaysia and worldwide.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"22 ","pages":"Article 101567"},"PeriodicalIF":3.3,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144996315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Can AI-powered traffic enforcement system augment road safety by influencing driver behavior and perception? 人工智能驱动的交通执法系统能否通过影响驾驶员的行为和感知来增强道路安全？

IF 3.3

Case Studies on Transport Policy Pub Date : 2025-08-14 DOI: 10.1016/j.cstp.2025.101566

Munavar Fairooz Cheranchery, G.S. Greeshma

{"title":"Can AI-powered traffic enforcement system augment road safety by influencing driver behavior and perception?","authors":"Munavar Fairooz Cheranchery, G.S. Greeshma","doi":"10.1016/j.cstp.2025.101566","DOIUrl":"10.1016/j.cstp.2025.101566","url":null,"abstract":"<div><div>Artificial Intelligence powered Enforcement Systems (AIES) are deployed across 675 locations in the state of Kerala, India to mitigate traffic violations and accidents. This fully automated enforcement system utilizes cameras powered by solar energy and 4G LTE (Long-Term Evolution) technology detect violations in real time and inform the drivers through different media. A comprehensive three-stage investigation is carried out in the present work to assess the effectiveness of AIES, which includes a machine learning-driven investigation of driver perception and behavior, crash data analysis, and spatial and temporal analysis of violation behavior. Artificial Neural Network model was instrumental in revealing the role of perception and experience towards change in driving behavior. DBSCAN (Density-Based Spatial Clustering of Applications with Noise) was used to categorize drivers into two segments based on their perception and behavior. Segment 1 showed reserved perception of AIES, with limited behavioral changes while segment 2 demonstrated a favorable perception and significant positive behavioral changes. The findings revealed a significant reduction in fatal accidents demonstrating the effectiveness of the system in enhancing road safety. Spatial analysis indicated a reduction in violations, particularly in areas where AI cameras were prominently placed. Temporal analysis showed marked improvements in helmet usage for both riders and pillion riders, highlighting the role of AIES in raising awareness and compliance. The study established the need for rotating the camera locations as the deterrent effect on violations is found diminishing with distance from the AIES units. The findings suggest that improving the communication and transparency of the system, while carefully considering the level of information revealed, could further reduce violations.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"21 ","pages":"Article 101566"},"PeriodicalIF":3.3,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144852804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Automated statewide estimation of crash-induced delay and queueing using crowdsourced data 使用众包数据对崩溃引起的延迟和排队进行自动全州估计

IF 3.3

Case Studies on Transport Policy Pub Date : 2025-08-10 DOI: 10.1016/j.cstp.2025.101565

Abolfazl Karimpour , Adrian Cottam , Anthony Altieri , Ellwood Hanrahan II

{"title":"Automated statewide estimation of crash-induced delay and queueing using crowdsourced data","authors":"Abolfazl Karimpour , Adrian Cottam , Anthony Altieri , Ellwood Hanrahan II","doi":"10.1016/j.cstp.2025.101565","DOIUrl":"10.1016/j.cstp.2025.101565","url":null,"abstract":"<div><div>Due to the unpredictable nature of crashes, accurately predicting when crashes will happen is challenging. Therefore, a key strategy for enhancing safety focuses on mitigating the impact of crashes when they do occur. Many agencies have adopted this approach by implementing incident management programs designed to reduce congestion and prevent secondary crashes. These programs require quick and efficient responses, which depend on timely and relevant information, such as accurate estimates of crash-induced congestion. This study introduces a method for estimating crash-induced delay and traffic congestion queue length, using machine learning and fusing multiple data sources. Police-reported crash data and Waze crowdsourced data were collected for all thruways in New York State. A hybrid model combining XGBoost, autoencoders, and gated residual networks was trained using the spatiotemporal alignment of multiple data sources. This model enables statewide estimations across different crash types and severity levels, accounting for roadway, surface, and weather conditions. The proposed model achieved an average error of 0.628 min for estimating crash-induced delays and 0.768 miles for queue length estimation. Its performance was evaluated against six state-of-the-art benchmark models, and the results demonstrated that our model consistently outperformed all others in both delay and queue length predictions. These findings have practical implications for roadway planning and traffic management, particularly in enhancing driver navigation by providing accurate crash-related information through variable message signs. This information could help drivers make informed route choices, including potential detours, while also providing valuable data to roadway agencies to prevent secondary crashes.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"21 ","pages":"Article 101565"},"PeriodicalIF":3.3,"publicationDate":"2025-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144829237","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adolescents’ travel patterns to various destinations and independent mobility across settlement types 青少年不同目的地的出行模式和跨聚落类型的独立流动

IF 3.3

Case Studies on Transport Policy Pub Date : 2025-08-06 DOI: 10.1016/j.cstp.2025.101563

Francisco Javier Huertas-Delgado , Javier Molina-García , Ana Queralt , Palma Chillón , Sandra Mandic

{"title":"Adolescents’ travel patterns to various destinations and independent mobility across settlement types","authors":"Francisco Javier Huertas-Delgado , Javier Molina-García , Ana Queralt , Palma Chillón , Sandra Mandic","doi":"10.1016/j.cstp.2025.101563","DOIUrl":"10.1016/j.cstp.2025.101563","url":null,"abstract":"<div><div>Active travel could contribute to increased physical activity among children and adolescents. Additionally, when the adolescents independently travel to various destinations, they usually present physically active profiles. However, the characteristics of the home neighbourhood are related to the active travel patterns and independent mobility of adolescents and may differ across settlement types. Therefore, this study compared adolescents’ mode of travel and who they travelled with, to various destinations (excluding school) as well as how far adolescents were allowed to travel on foot or by bicycle without adult supervision across various settlement types. Participants were 838 adolescents living in different settlement types (i.e. medium-to-large urban areas (n = 177), small urban areas (n = 506) and rural areas (n = 155)) in the Otago region of New Zealand. Adolescents self-reported their sociodemographic characteristics, mode of travel and independent mobility in a supervised online questionnaire. Differences between the three settlement types were compared using the Chi-squared test. The car was the most frequently used mode of travel by adolescents to friend’s home, relative’s home, shops/markets/restaurants and sport venues across all three settlement types. Cycling to all destinations was more common in small urban areas and rural areas, compared to medium-to-large urban areas (p < 0.05). The independent mobility was higher in small urban areas than other settlement types. Adolescents living in rural areas were allowed to travel independently further on foot or bicycle than their counterparts from urban areas (p < 0.05). Future interventions should encourage active travel and independent mobility taking into account specific characteristics of settlements where adolescents live.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"21 ","pages":"Article 101563"},"PeriodicalIF":3.3,"publicationDate":"2025-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144829238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Developing sustainable aviation fuel to deepen south Australia’s green economy: A BERTopic-enhanced SWOT analysis 发展可持续航空燃料，深化南澳大利亚绿色经济：BERTopic-enhanced SWOT分析

IF 3.3

Case Studies on Transport Policy Pub Date : 2025-08-06 DOI: 10.1016/j.cstp.2025.101562

Yuchao Xu , Yahua Zhang , Xin Deng , Seung-Yong Lee , Kun Wang

{"title":"Developing sustainable aviation fuel to deepen south Australia’s green economy: A BERTopic-enhanced SWOT analysis","authors":"Yuchao Xu , Yahua Zhang , Xin Deng , Seung-Yong Lee , Kun Wang","doi":"10.1016/j.cstp.2025.101562","DOIUrl":"10.1016/j.cstp.2025.101562","url":null,"abstract":"<div><div>Sustainable aviation fuel (SAF) is a key solution for reducing aviation carbon emissions and is expected to contribute over 65% towards the industry’s net-zero target by 2050. However, the gap between production capacity and potential demand remains significant. This paper analyses 225 inputs from 14 sustainability experts using BERTopic to enhance the analysis of Strengths, Weaknesses, Opportunities, and Threats (SWOT) to evaluate the feasibility of developing an SAF industry in South Australia. It has been found that South Australia possesses several unique comparative advantages in creating the SAF industry to further elevate the scale and quality of its green economy. The analysis shows that there is an urgent need for government collaboration with industry and research institutions to accelerate progress. Key initiatives proposed include establishing a research centre of excellence and providing supply-side incentives such as joint investment, tax credits, and low-interest loans. These measures will support research, coordinate stakeholders, build skilled workforce, reduce upfront costs, and ensure stable feedstock supplies. On the demand side, government procurement, airline credits, and uptake agreements with South Australian producers can boost market confidence.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"21 ","pages":"Article 101562"},"PeriodicalIF":3.3,"publicationDate":"2025-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144826570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Influential analysis of smart transportation policy on common prosperity using casual mediation effect inference 基于随机中介效应推理的智慧交通政策对共同富裕的影响分析

IF 3.3

Case Studies on Transport Policy Pub Date : 2025-07-29 DOI: 10.1016/j.cstp.2025.101529

Qiao Li , Xinghou Yu , Haiyu Xu , Dongmei Wang , Zhiwei Guo , Lian Liu

{"title":"Influential analysis of smart transportation policy on common prosperity using casual mediation effect inference","authors":"Qiao Li , Xinghou Yu , Haiyu Xu , Dongmei Wang , Zhiwei Guo , Lian Liu","doi":"10.1016/j.cstp.2025.101529","DOIUrl":"10.1016/j.cstp.2025.101529","url":null,"abstract":"<div><div>Nowadays, China is advancing the smart transportation policy which was initially implemented in 2018. It aims at leveraging advantages of transportation infrastructures as a pillar industry to drive high-quality economic development, as well as common prosperity. In this context, this work focuses on effect mechanism investigation of smart transportation policy on common prosperity. Using the data collected from 31 provinces of China mainland, systematic empirical analysis is conducted using casual mediation effect inference. The main results demonstrate that implementation of smart transportation policy enhances regional common prosperity by 2.8%. It comprises a direct effect of 1.2% and a cumulative indirect effect of 1.6%. The indirect effect is a chain-mediated transmission mechanism from primary distribution to secondary and tertiary distributions. The mediation effect accounts for 57.14% of the total effect. In addition, the coefficient of the “social sharing index” in common prosperity (2.8%) is greater than the coefficient of the “development index” (2.4%). This indicates that effect of smart transportation policy on social sharing is significantly stronger than that on economic development. Accordingly, five aspects of policy recommendations are put forward from results, in order to maximize supporting role of smart transportation on common prosperity. This paper innovatively constructs a three-layer chain intermediary mechanism theory from the perspective of economic development and social sharing. It provides theoretical support and practical path for smart transportation system to drive common prosperity, and provides a new paradigm of transportation governance for cracking the regional imbalance.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"21 ","pages":"Article 101529"},"PeriodicalIF":3.3,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144829239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Identifying transport poverty in Slovakia – A composite index to assess risk and support decarbonization policy measures 确定斯洛伐克的交通贫困——评估风险和支持脱碳政策措施的综合指数

IF 3.3

Case Studies on Transport Policy Pub Date : 2025-07-29 DOI: 10.1016/j.cstp.2025.101558

Stella Košíková , Hana Arnold

{"title":"Identifying transport poverty in Slovakia – A composite index to assess risk and support decarbonization policy measures","authors":"Stella Košíková , Hana Arnold","doi":"10.1016/j.cstp.2025.101558","DOIUrl":"10.1016/j.cstp.2025.101558","url":null,"abstract":"<div><div>Transport poverty is a phenomenon that prevents individuals and households from participating fully in socioeconomic life as a result of a lack of affordable and/or available transport options. Its levels are forecast to worsen, given the expected rise in fuel prices because of the extension of the EU Emissions Trading System and other policies aiming to decarbonize the transport sector. This paper establishes a framework for assessing the risk of transport poverty, using the “3As” framework (affordability, accessibility, availability). Specific indicators are used to quantify the phenomenon on this basis, utilising data envelopment analysis, applied to the case study of Slovakia. Consequently, this research assigns each municipality a value expressing its risk of transport poverty, aiding policymakers in targeting efforts to alleviate impacts of rising fuel prices. It is found that the 7 % of Slovakia’s population lives in areas with high risk of transport poverty. The main contributors to transport poverty are found to be a lack of public transport options, and a high proximity to essential services.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"21 ","pages":"Article 101558"},"PeriodicalIF":3.3,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144780923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Key factors affecting transportation choices in school commuting in Lisbon – A machine learning approach 影响里斯本学校通勤交通选择的关键因素——一种机器学习方法

IF 3.3

Case Studies on Transport Policy Pub Date : 2025-07-28 DOI: 10.1016/j.cstp.2025.101557

Vivek Bhosale , Miguel San Payo , Gabriel Cipriano , António R. Andrade

{"title":"Key factors affecting transportation choices in school commuting in Lisbon – A machine learning approach","authors":"Vivek Bhosale , Miguel San Payo , Gabriel Cipriano , António R. Andrade","doi":"10.1016/j.cstp.2025.101557","DOIUrl":"10.1016/j.cstp.2025.101557","url":null,"abstract":"<div><div>Understanding the behaviour of students in choosing a transportation mode to school is crucial to promote Active Commuting to School (ACS) and the adoption of healthier lifestyles. Therefore, analysing all types of transportation modes with multiple factors/features is essential, though it can be a challenge in statistical modelling. The main objective of the present study was to determine the factors that contribute to the choice of a particular mode in school transportation, by using Machine Learning (ML) algorithms: Extreme Gradient Boosting (XGB), Random Forest (RF), Decision Tree (DT) and Multinomial Logistic Regression (MNL). Data from the ‘Hands Up’ Survey in Lisbon, Portugal, between 2018 and 2021, with 10 different modes of transportation were analysed. A range of factors including safety around school, socioeconomic status of schools’ parishes, school regime, school grades and the proximity of schools to the different public transportation modes were considered. The algorithms have been compared in terms of accuracy scores. The XGB algorithm shows the best performance (64 % accuracy and 0.33 Macro F1) for multi-class classification, while RT, DT and MNL provide accuracy of 40 %, 37 % and 47 % respectively. Weighted Average Feature Importance (WAFI) have been determined for all variables. For the best-performing algorithm, the XGB, the combination factor of school regime and school grade is the most relevant factor, contributing to around 21.2 % for multi-class classification. WAFI scores for each variable suggest that the proximity of schools to various public transports is an important factor contributing more than 50 % for the predominance of private car in school transportation.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"21 ","pages":"Article 101557"},"PeriodicalIF":3.3,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144780922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Geospatial evolution of airport vicinities over Time: Evidence from Brazil 机场附近的地理空间演变：来自巴西的证据

IF 3.3

Case Studies on Transport Policy Pub Date : 2025-07-28 DOI: 10.1016/j.cstp.2025.101555

Gabriela Oliveira de Souza, Evandro José da Silva, Cláudio Jorge Pinto Alves, Mauro Caetano

{"title":"Geospatial evolution of airport vicinities over Time: Evidence from Brazil","authors":"Gabriela Oliveira de Souza, Evandro José da Silva, Cláudio Jorge Pinto Alves, Mauro Caetano","doi":"10.1016/j.cstp.2025.101555","DOIUrl":"10.1016/j.cstp.2025.101555","url":null,"abstract":"<div><div>This study analyzes the relationship between urban occupation and the location of transport infrastructure to identify patterns in urbanization of cities based on their main airports. For this analysis, data from the Global Artificial Impervious Area, spanning from 1985 to 2018, was utilized for the seventeen major Brazilian airports in terms of passenger movement to examine the built-up areas around airports. The methodology employs three econometric models that compare urban impervious surface growth in concentric 1-km rings around airports (up to 20 km) with growth patterns in the immediate urban region, airport-city access corridors, and surrounding areas. This spatial segmentation approach, combined with longitudinal regression analysis, enables the quantification of distance-dependent urbanization effects while controlling for broader metropolitan expansion dynamics. The analysis demonstrates that built-up areas near airports experienced accelerated growth, with impervious surface expansion in airport influence regions occurring 1.21 to 82.27 times faster than in their broader urban regions. While areas within 5 km of airports showed the most pronounced urbanization, the models cannot definitively isolate whether this pattern results from airport proximity or broader city dynamics, as airports are inherently integrated within urban systems.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"21 ","pages":"Article 101555"},"PeriodicalIF":3.3,"publicationDate":"2025-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144772960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Selectıng pedestrianization types for sustainable urban mobility: A case study of Trabzon, Turkey applicatıon Selectıng可持续城市交通的步行化类型：以土耳其特拉布宗为例applicatıon

IF 3.3

Case Studies on Transport Policy Pub Date : 2025-07-27 DOI: 10.1016/j.cstp.2025.101554

Görkem Gülhan , Akın Salkılınç , Halil İbrahim Yiğit , Kemal Yasin Göka

{"title":"Selectıng pedestrianization types for sustainable urban mobility: A case study of Trabzon, Turkey applicatıon","authors":"Görkem Gülhan , Akın Salkılınç , Halil İbrahim Yiğit , Kemal Yasin Göka","doi":"10.1016/j.cstp.2025.101554","DOIUrl":"10.1016/j.cstp.2025.101554","url":null,"abstract":"<div><div>Pedestrianization studies are increasingly common, especially in urban centers. Such approaches are generally accepted as people-oriented, sustainable and economically efficient. On the other hand, the large and deep-rooted nature of the intervention may bring with it different problems. It is important to know the effects of clearing private vehicle traffic from the region. The clearing of a region from private vehicle traffic affects many features such as redirected traffic, public transportation routes, parking, spatial interaction, economic interaction, social life and accessibility. Therefore, the effects of the intervention should be measured in all its dimensions with an accurate traffic assignment and prediction, and appropriate scenarios/alternatives should be produced. In this study, an integrated pedestrianization proposal has been developed for the Kahramanmaraş Street Area in the city center of Trabzon. The most suitable alternative has been determined by carrying out a traffic assignment and developing success criteria. The effects of the selected alternative were then examined, and solution strategies were co-developed through a participatory process involving transport-related NGOs, associations representing vulnerable groups, professional chambers, and state institutions familiar with the city’s dynamics (e.g., directorate general for state hydraulic works <strong>directorate general for state hydraulic works</strong>, highways, municipalities, urban infrastructure units, the governorship, police, and transport departments). The strategies covered traffic redirection, parking access, minibus stop relocations, logistics regulations, and emergency response routes.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"21 ","pages":"Article 101554"},"PeriodicalIF":3.3,"publicationDate":"2025-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144771907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0