Pub Date : 2024-12-31DOI: 10.1016/j.cstp.2024.101360
Jawad Haddad , Maya Abou-Zeid , Isam Kaysi
As urban planning policies and street design around the world are shifting towards more human-centric decisions and designs, it is crucial to explore and analyze schemes that aim at reducing the harm of car dependence in urban neighborhoods. This study develops a framework that defines the boundaries, prioritizes implementation, and assesses the traffic impact of low traffic neighborhoods (LTN). An LTN is a scheme where vehicular traffic is reduced in residential neighborhoods by mainly curbing through-traffic or “rat-running”. The boundaries are placed based on a set of criteria and assessed by locals and experts to fine tune them. Then, the LTNs are ranked in terms of implementation priority, relating to each LTN’s likelihood of succeeding and expected impact level based on a set of criteria. The implementability is assessed qualitatively by interviewing stakeholders, experts, and locals. The traffic impact is assessed using a traffic model. Before and after percentages of through-traffic on identified through-streets within LTNs are compared. This framework is then implemented in an area within Municipal Beirut with interventions of varying degrees of elimination of through-traffic in nine suggested LTNs based on set criteria of definition. The results show a decrease of through-traffic (up to complete elimination) in the neighborhoods where LTNs were implemented with minimal disruption to travel times to commuters still accessing destinations within the LTN.
{"title":"Developing a framework to prioritize and assess the traffic impacts of low traffic neighborhoods: A case study in Beirut","authors":"Jawad Haddad , Maya Abou-Zeid , Isam Kaysi","doi":"10.1016/j.cstp.2024.101360","DOIUrl":"10.1016/j.cstp.2024.101360","url":null,"abstract":"<div><div>As urban planning policies and street design around the world are shifting towards more human-centric decisions and designs, it is crucial to explore and analyze schemes that aim at reducing the harm of car dependence in urban neighborhoods. This study develops a framework that defines the boundaries, prioritizes implementation, and assesses the traffic impact of low traffic neighborhoods (LTN). An LTN is a scheme where vehicular traffic is reduced in residential neighborhoods by mainly curbing through-traffic or “rat-running”. The boundaries are placed based on a set of criteria and assessed by locals and experts to fine tune them. Then, the LTNs are ranked in terms of implementation priority, relating to each LTN’s likelihood of succeeding and expected impact level based on a set of criteria. The implementability is assessed qualitatively by interviewing stakeholders, experts, and locals. The traffic impact is assessed using a traffic model. Before and after percentages of through-traffic on identified through-streets within LTNs are compared. This framework is then implemented in an area within Municipal Beirut with interventions of varying degrees of elimination of through-traffic in nine suggested LTNs based on set criteria of definition. The results show a decrease of through-traffic (up to complete elimination) in the neighborhoods where LTNs were implemented with minimal disruption to travel times to commuters still accessing destinations within the LTN.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"19 ","pages":"Article 101360"},"PeriodicalIF":2.4,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143368296","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}
Pub Date : 2024-12-31DOI: 10.1016/j.cstp.2024.101359
He Huang , Nicolas Brusselaers , Yves De Smet , Cathy Macharis
In the complex landscape of social decision making, multi-criteria decision making (MCDM) provides decision makers with a structured approach to evaluate multiple alternatives based on multiple conflicting criteria. Numerous multi-criteria group decision making (MCGDM) frameworks have been developed to engage stakeholders like citizens on a large scale and to capture their diverse preferences. Real-World Application in Construction Logistics: The framework’s utility and effectiveness are empirically validated through its application in a construction logistics project. This application involved gathering preferences from residents near the construction site and using these inputs to guide policy decisions, demonstrating the framework’s practical impact on urban planning and development. However, current frameworks exhibit certain limitations. In recognition of this, we present the mass-participation framework for MCGDM. This innovative framework combines data collection of criterion weights via survey with representative workshops for a more holistic evaluation of alternatives. Key features of our approach include the tailored adaptation of the Revised Simos Method for surveys, which ensures intuitive weight elicitation. In addition, we introduce a clustering algorithm rooted in priority-based K-medoids techniques and employ a comprehensive set of metrics for optimal cluster number determination. The methodology is then empirically illustrated in the context of a real-world construction logistics project. The research highlights the importance of extensive stakeholder engagement for robust and inclusive construction transport and urban planning policies. Our mass-participation framework moves beyond traditional consultation by actively involving stakeholders in decision-making, allowing them to contribute both preferences and solutions. Empirical validation in the Brussels-Capital Region involved over 150 residents, whose preferences were clustered into distinct groups based on their concerns, such as noise pollution, air quality, and traffic accessibility. The majority of stakeholders favored sustainable logistics solutions, particularly electric concrete trucks, due to their potential to reduce environmental impacts. These findings demonstrate the framework’s ability to capture diverse perspectives and inform sustainable policy development.
{"title":"Engaging stakeholders in construction transport policy: A mass-participation framework","authors":"He Huang , Nicolas Brusselaers , Yves De Smet , Cathy Macharis","doi":"10.1016/j.cstp.2024.101359","DOIUrl":"10.1016/j.cstp.2024.101359","url":null,"abstract":"<div><div>In the complex landscape of social decision making, multi-criteria decision making (MCDM) provides decision makers with a structured approach to evaluate multiple alternatives based on multiple conflicting criteria. Numerous multi-criteria group decision making (MCGDM) frameworks have been developed to engage stakeholders like citizens on a large scale and to capture their diverse preferences. Real-World Application in Construction Logistics: The framework’s utility and effectiveness are empirically validated through its application in a construction logistics project. This application involved gathering preferences from residents near the construction site and using these inputs to guide policy decisions, demonstrating the framework’s practical impact on urban planning and development. However, current frameworks exhibit certain limitations. In recognition of this, we present the mass-participation framework for MCGDM. This innovative framework combines data collection of criterion weights via survey with representative workshops for a more holistic evaluation of alternatives. Key features of our approach include the tailored adaptation of the Revised Simos Method for surveys, which ensures intuitive weight elicitation. In addition, we introduce a clustering algorithm rooted in priority-based K-medoids techniques and employ a comprehensive set of metrics for optimal cluster number determination. The methodology is then empirically illustrated in the context of a real-world construction logistics project. The research highlights the importance of extensive stakeholder engagement for robust and inclusive construction transport and urban planning policies. Our mass-participation framework moves beyond traditional consultation by actively involving stakeholders in decision-making, allowing them to contribute both preferences and solutions. Empirical validation in the Brussels-Capital Region involved over 150 residents, whose preferences were clustered into distinct groups based on their concerns, such as noise pollution, air quality, and traffic accessibility. The majority of stakeholders favored sustainable logistics solutions, particularly electric concrete trucks, due to their potential to reduce environmental impacts. These findings demonstrate the framework’s ability to capture diverse perspectives and inform sustainable policy development.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"19 ","pages":"Article 101359"},"PeriodicalIF":2.4,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143093556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-27DOI: 10.1016/j.cstp.2024.101361
Aly El-Refaei, Ahmed Osman Idris
Egyptian ports are grappling with challenges to cope with the intense port competition in the Eastern Mediterranean region. Accordingly, policy makers are investing heavily to increase port capacity and subsequently the services calling Egyptian ports and the cargo handled. Nevertheless, investments in port capital infrastructure and their ongoing maintenance costs are substantial; and while they are intended to attract shipping lines, other factors may ultimately drive their port selection, potentially rendering these investments ineffective.
This research utilizes the Analytic Hierarchy Process (AHP) to provide a better understanding of the factors that attract port users to a particular port and pioneers the introduction of the Port Demand Management (PDM) concept as envisioned by the authors. Under PDM, policy makers could alter the port selection decisions of port users, such as cargo owners, shipping lines, shipping alliances, and/or consignees, through a programme of rewards (penalties) to attract (repel) them to (from) a certain port aiming at reducing port congestion without the need to pump huge infrastructure investments.
The findings reveal that, among carefully selected six factors and 19 sub-factors, shipping lines prioritize port efficiency, connectivity, and information technology when selecting a port of call and show that focusing only on port infrastructure development is inadequate. Instead, investing in non-physical (i.e. soft) infrastructure is necessary for supporting the port system effectively.
This research spotlight underappreciated factors of port selection considering the unique characteristics of the Egyptian context and pave the way towards new strategic directions for policy makers.
{"title":"Towards a Port Demand Management (PDM) System: An Analytic Hierarchy Process (AHP)-based Approach","authors":"Aly El-Refaei, Ahmed Osman Idris","doi":"10.1016/j.cstp.2024.101361","DOIUrl":"10.1016/j.cstp.2024.101361","url":null,"abstract":"<div><div>Egyptian ports are grappling with challenges to cope with the intense port competition in the Eastern Mediterranean region. Accordingly, policy makers are investing heavily to increase port capacity and subsequently the services calling Egyptian ports and the cargo handled. Nevertheless, investments in port capital infrastructure and their ongoing maintenance costs are substantial; and while they are intended to attract shipping lines, other factors may ultimately drive their port selection, potentially rendering these investments ineffective.</div><div>This research utilizes the Analytic Hierarchy Process (AHP) to provide a better understanding of the factors that attract port users to a particular port and pioneers the introduction of the Port Demand Management (PDM) concept as envisioned by the authors. Under PDM, policy makers could alter the port selection decisions of port users, such as cargo owners, shipping lines, shipping alliances, and/or consignees, through a programme of rewards (penalties) to attract (repel) them to (from) a certain port aiming at reducing port congestion without the need to pump huge infrastructure investments.</div><div>The findings reveal that, among carefully selected six factors and 19 sub-factors, shipping lines prioritize port efficiency, connectivity, and information technology when selecting a port of call and show that focusing only on port infrastructure development is inadequate. Instead, investing in non-physical (i.e. soft) infrastructure is necessary for supporting the port system effectively.</div><div>This research spotlight underappreciated factors of port selection considering the unique characteristics of the Egyptian context and pave the way towards new strategic directions for policy makers.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"19 ","pages":"Article 101361"},"PeriodicalIF":2.4,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143093461","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}
Pub Date : 2024-12-25DOI: 10.1016/j.cstp.2024.101355
Hennadii Haiko, Illia Savchenko, Andrii Shelestov
The analysis of risk mitigation in the transport infrastructure of the Kyiv city by using a system of car tunnels was conducted, their ranking and construction priorities were determined. The main considered structural and functional factors included: district type, downtown factor, population density, daily pendular movement, arterial network density, average traffic speed at peak hours, surface connectivity, surface road throughput, criticalness, vulnerability. The modified morphological method, involved in the research, took into account the military (terrorist) threats, along with the groups of ecological and technogenic risks. This approach might be useful for the development of the urban paradigm in the geopolitical frontier zones. Additionally, a morphological analysis/analytical hierarchy process hybridization was suggested that provided an alternative point of view with a slightly different ranking of tunnels compared to the basic model. For evaluation of the morphological model parameters, satellite imagery and geospatial Urban Atlas for Kyiv products were used as independent sources of geospatial data. The combination of these diverse datasets enables a deep understanding of the complex, interconnected systems within a city. By utilizing these products and the developed morphological models, the cities’ community can become safer and more resilient, driving the evidence-based transport policies.
{"title":"Ensuring resilience and safety of the transportation system of Kyiv in planning the network of road tunnels","authors":"Hennadii Haiko, Illia Savchenko, Andrii Shelestov","doi":"10.1016/j.cstp.2024.101355","DOIUrl":"10.1016/j.cstp.2024.101355","url":null,"abstract":"<div><div>The analysis of risk mitigation in the transport infrastructure of the Kyiv city by using a system of car tunnels was conducted, their ranking and construction priorities were determined. The main considered structural and functional factors included: district type, downtown factor, population density, daily pendular movement, arterial network density, average traffic speed at peak hours, surface connectivity, surface road throughput, criticalness, vulnerability. The modified morphological method, involved in the research, took into account the military (terrorist) threats, along with the groups of ecological and technogenic risks. This approach might be useful for the development of the urban paradigm in the geopolitical frontier zones. Additionally, a morphological analysis/analytical hierarchy process hybridization was suggested that provided an alternative point of view with a slightly different ranking of tunnels compared to the basic model. For evaluation of the morphological model parameters, satellite imagery and geospatial Urban Atlas for Kyiv products were used as independent sources of geospatial data. The combination of these diverse datasets enables a deep understanding of the complex, interconnected systems within a city. By utilizing these products and the developed morphological models, the cities’ community can become safer and more resilient, driving the evidence-based transport policies.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"19 ","pages":"Article 101355"},"PeriodicalIF":2.4,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143093463","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}
Pub Date : 2024-12-25DOI: 10.1016/j.cstp.2024.101353
Ali Shkera, Vaishali Patankar
This study explores the complex, non-linear relationships between built environment factors and active travel behavior among older adults in India, with a focus on gender differences. Using household travel diary data from the Mumbai Metropolitan Region and employing Gradient Boosting Decision Trees, we investigate how urban form, public transport accessibility, and land use diversity influence active commuting patterns for older men and women. Our findings reveal distinct gender-specific patterns. For older men, built environment factors like land use diversity and intersection density predominantly determine active travel. In contrast, older women’s active travel is more influenced by socio-demographic factors such as job status and age. We identify optimal ranges for various built environment characteristics that differ between genders, challenging linear assumptions in previous research.
This research addresses a critical gap in understanding active ageing in rapidly urbanizing developing countries, where such gender-specific, non-linear analyses have been scarce. By uncovering these nuanced relationships, we contribute to the literature on age-friendly cities and provide insights that can inform urban planning and transportation policies in India and other developing countries.
While acknowledging limitations such as the cross-sectional nature of the study and its focus on specific urban areas in India, this research represents a significant step towards creating more inclusive, age-friendly cities that cater to the diverse needs of older populations in urbanizing societies. Future research directions include longitudinal studies and investigations into cultural and social factors influencing active travel among older adults in developing countries.
{"title":"Gender differences in senior active travel: Nonlinear insights from India’s urban environment","authors":"Ali Shkera, Vaishali Patankar","doi":"10.1016/j.cstp.2024.101353","DOIUrl":"10.1016/j.cstp.2024.101353","url":null,"abstract":"<div><div>This study explores the complex, non-linear relationships between built environment factors and active travel behavior among older adults in India, with a focus on gender differences. Using household travel diary data from the Mumbai Metropolitan Region and employing Gradient Boosting Decision Trees, we investigate how urban form, public transport accessibility, and land use diversity influence active commuting patterns for older men and women. Our findings reveal distinct gender-specific patterns. For older men, built environment factors like land use diversity and intersection density predominantly determine active travel. In contrast, older women’s active travel is more influenced by socio-demographic factors such as job status and age. We identify optimal ranges for various built environment characteristics that differ between genders, challenging linear assumptions in previous research.</div><div>This research addresses a critical gap in understanding active ageing in rapidly urbanizing developing countries, where such gender-specific, non-linear analyses have been scarce. By uncovering these nuanced relationships, we contribute to the literature on age-friendly cities and provide insights that can inform urban planning and transportation policies in India and other developing countries.</div><div>While acknowledging limitations such as the cross-sectional nature of the study and its focus on specific urban areas in India, this research represents a significant step towards creating more inclusive, age-friendly cities that cater to the diverse needs of older populations in urbanizing societies. Future research directions include longitudinal studies and investigations into cultural and social factors influencing active travel among older adults in developing countries.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"19 ","pages":"Article 101353"},"PeriodicalIF":2.4,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143093464","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}
Pub Date : 2024-12-24DOI: 10.1016/j.cstp.2024.101358
Nino Gochitidze , Jitka Janová
The intensity of transported passengers is growing in the South Moravian region. Along with the increase in passenger flow, the number of private cars is also increasing. This paper discusses the highly relevant issue of determining the efficiency of mobility in the South Moravian Region, including both private and regional public transport. For the assessment, the study utilises a non-parametric DEA-CCR model. The objectives of the study are to (i) identify the main evaluation criteria of the transport efficiency for passengers, (ii) determine the frequency of single-transport usage and alternative combinations, and (iii) use DEA to identify an efficient transport design and discuss the suitability of the method for this transport issue. It has been observed that travel time and travel cost are the main criteria for passengers. These factors, along with the carbon footprint and frequency of transport usage, were incorporated into the analysis. Respectively, we chose time, cost, and carbon footprint as inputs, with transport usage as the output for the key variables for the DEA application. Despite walking having the lowest carbon footprint and cars having the highest, the results indicate that both are the most efficient modes of movement within the region. Furthermore, the public transport system in Brno and the regional transport in Blansko are classified as efficient based on analyses by individual municipalities. We discovered that neither the travel cost nor the carbon emissions deter individuals from using automobiles. As a recommendation, the cars stand out as a significant mode of transport, which necessitates a specific efficiency assessment based on different criteria. Moreover, while bicycles are recognised as a significant eco-mobility alternative, they are deemed inefficient due to their infrequent daily usage. The results of the DEA analysis indicate that urban and regional public transportation, as well as their combination, represent an inefficient mode of transportation for passengers (except Brno and Blansko). This suggests that regional and municipal authorities should support further development of public transportation, improve infrastructure for cycling and other micromobility options, advocate for greater emissions reduction, and promote broader public transport usage.
{"title":"Eco-friendly transport vs. car usage: A data envelopment analysis of efficiency in the South Moravian Region, Czech Republic","authors":"Nino Gochitidze , Jitka Janová","doi":"10.1016/j.cstp.2024.101358","DOIUrl":"10.1016/j.cstp.2024.101358","url":null,"abstract":"<div><div>The intensity of transported passengers is growing in the South Moravian region. Along with the increase in passenger flow, the number of private cars is also increasing. This paper discusses the highly relevant issue of determining the efficiency of mobility in the South Moravian Region, including both private and regional public transport. For the assessment, the study utilises a non-parametric DEA-CCR model. The objectives of the study are to (i) identify the main evaluation criteria of the transport efficiency for passengers, (ii) determine the frequency of single-transport usage and alternative combinations, and (iii) use DEA to identify an efficient transport design and discuss the suitability of the method for this transport issue. It has been observed that travel time and travel cost are the main criteria for passengers. These factors, along with the carbon footprint and frequency of transport usage, were incorporated into the analysis. Respectively, we chose time, cost, and carbon footprint as inputs, with transport usage as the output for the key variables for the DEA application. Despite walking having the lowest carbon footprint and cars having the highest, the results indicate that both are the most efficient modes of movement within the region. Furthermore, the public transport system in Brno and the regional transport in Blansko are classified as efficient based on analyses by individual municipalities. We discovered that neither the travel cost nor the carbon emissions deter individuals from using automobiles. As a recommendation, the cars stand out as a significant mode of transport, which necessitates a specific efficiency assessment based on different criteria. Moreover, while bicycles are recognised as a significant eco-mobility alternative, they are deemed inefficient due to their infrequent daily usage. The results of the DEA analysis indicate that urban and regional public transportation, as well as their combination, represent an inefficient mode of transportation for passengers (except Brno and Blansko). This suggests that regional and municipal authorities should support further development of public transportation, improve infrastructure for cycling and other micromobility options, advocate for greater emissions reduction, and promote broader public transport usage.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"19 ","pages":"Article 101358"},"PeriodicalIF":2.4,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143093459","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}
Mobility as a service platform for freight and passenger transport can promote sustainable cities. However, most of the contributions in the literature on mobility as a service platform explicitly focus on passenger mobility only. This article describes the operational characteristics of a mobility as a service platform for freight and passenger transport operated by GoMoov in Joinville, Brazil. In addition, it also explores the setting up of a microhub network for parcel deliveries employing e-shared vehicles and a crowdshipping workforce. Findings indicate that ten microhubs are sufficient to cover the urban area of Joinville (98.96 % of the residents and 98.99 % of the dwellings). Mobility as a Service platform for freight and people transport generates non-negligible economic and environmental benefits. Appropriate marketing strategies and active engagement of the companies involved are crucial to its success.
{"title":"Mobility as a service for freight and passenger transport: Identifying a microhubs network to promote crowdshipping service","authors":"Leise Kelli Oliveira , Isabela Kopperschmidt Oliveira , Carla de Oliveira Leite Nascimento , Edoardo Marcucci , Valerio Gatta","doi":"10.1016/j.cstp.2024.101356","DOIUrl":"10.1016/j.cstp.2024.101356","url":null,"abstract":"<div><div>Mobility as a service platform for freight and passenger transport can promote sustainable cities. However, most of the contributions in the literature on mobility as a service platform explicitly focus on passenger mobility only. This article describes the operational characteristics of a mobility as a service platform for freight and passenger transport operated by GoMoov in Joinville, Brazil. In addition, it also explores the setting up of a microhub network for parcel deliveries employing e-shared vehicles and a crowdshipping workforce. Findings indicate that ten microhubs are sufficient to cover the urban area of Joinville (98.96 % of the residents and 98.99 % of the dwellings). Mobility as a Service platform for freight and people transport generates non-negligible economic and environmental benefits. Appropriate marketing strategies and active engagement of the companies involved are crucial to its success.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"19 ","pages":"Article 101356"},"PeriodicalIF":2.4,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143093462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-20DOI: 10.1016/j.cstp.2024.101354
Alvaro Rodriguez-Valencia , Rafael Unda , David Paris , German A. Barrero , Juan P. Bocarejo
Road diets have become a common practice in urban planning to enhance safety and sustainability by reallocating traffic lanes for underserved infrastructure. This study evaluates a road diet along a major corridor in Bogotá, Colombia, using both Level of Service (LOS) and perception-based methods to analyze their effectiveness and complementarity for assessing urban local interventions. We collected geometric and operational data for LOS calculations and we administered a random intercept survey to assess user perceptions, before and after implementation. By comparing outcomes from perceptual evaluations and traditional LOS methods in the case study, we found that both methodologies indicated overall improvements in service for pedestrians and bicyclists post-intervention. This study highlights the efficacy of perception-based methods in capturing nuanced user experiences and preferences, providing valuable insights for urban planners and policymakers.
{"title":"Comparing perception-based methods and traditional level of service for urban infrastructure evaluation: Bogotá’s road diet case study","authors":"Alvaro Rodriguez-Valencia , Rafael Unda , David Paris , German A. Barrero , Juan P. Bocarejo","doi":"10.1016/j.cstp.2024.101354","DOIUrl":"10.1016/j.cstp.2024.101354","url":null,"abstract":"<div><div>Road diets have become a common practice in urban planning to enhance safety and sustainability by reallocating traffic lanes for underserved infrastructure. This study evaluates a road diet along a major corridor in Bogotá, Colombia, using both Level of Service (LOS) and perception-based methods to analyze their effectiveness and complementarity for assessing urban local interventions. We collected geometric and operational data for LOS calculations and we administered a random intercept survey to assess user perceptions, before and after implementation. By comparing outcomes from perceptual evaluations and traditional LOS methods in the case study, we found that both methodologies indicated overall improvements in service for pedestrians and bicyclists post-intervention. This study highlights the efficacy of perception-based methods in capturing nuanced user experiences and preferences, providing valuable insights for urban planners and policymakers.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"19 ","pages":"Article 101354"},"PeriodicalIF":2.4,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143093460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The utilization of electric vehicles as a general transport medium is considered one of the most viable mitigation strategies for continuously increasing fossil fuel-based energy demands and corresponding GHG emission issues. However, such sustainable transitions need to be supported by an effective promotion policy framework to shift the interests of the potential stakeholders toward electric vehicle (EV) alternatives. This work presents the effectiveness assessment of several government EV promotional policies in India based on the multiple criteria decision-making (MCDM) strategies by considering the general societal outlooks. The analytic hierarchy process (AHP) scheme is adopted for prioritization followed by the qualitative evaluations of the adopted methodology. From the work, the charging infrastructure development support is identified as the most effective policy measure to improve the EV market diffusion in India. Moreover, some suggestive measures are also presented as the contribution towards the attainment of several sustainable development targets, such as the disincentivization of conventional vehicles, accelerating the pace of effective battery charging/swapping infrastructure facilities, and promoting the utilization of energy-mix technologies, etc.
{"title":"Effectiveness assessment of government promotional policy framework towards climate-neutral mobility in Indian context","authors":"Ankur Dwivedi , Rajat Kumar , Varun Goel , Anoop Kumar , Abhishek Saxena","doi":"10.1016/j.cstp.2024.101352","DOIUrl":"10.1016/j.cstp.2024.101352","url":null,"abstract":"<div><div>The utilization of electric vehicles as a general transport medium is considered one of the most viable mitigation strategies for continuously increasing fossil fuel-based energy demands and corresponding GHG emission issues. However, such sustainable transitions need to be supported by an effective promotion policy framework to shift the interests of the potential stakeholders toward electric vehicle (EV) alternatives. This work presents the effectiveness assessment of several government EV promotional policies in India based on the multiple criteria decision-making (MCDM) strategies by considering the general societal outlooks. The analytic hierarchy process (AHP) scheme is adopted for prioritization followed by the qualitative evaluations of the adopted methodology. From the work, the charging infrastructure development support is identified as the most effective policy measure to improve the EV market diffusion in India. Moreover, some suggestive measures are also presented as the contribution towards the attainment of several sustainable development targets, such as the disincentivization of conventional vehicles, accelerating the pace of effective battery charging/swapping infrastructure facilities, and promoting the utilization of energy-mix technologies, etc.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"19 ","pages":"Article 101352"},"PeriodicalIF":2.4,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143093467","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}
Pub Date : 2024-12-16DOI: 10.1016/j.cstp.2024.101342
Hannah Yee , Robert N. Boute
Synchromodal replenishment aligns transport mode decisions with inventory replenishment needs. We present a case study considering the simultaneous use of road and rail transport to replenish a distribution center in Belgium from a supplier in Spain, aiming for a modal shift from road to sustainable rail transport. Product demand is non-stationary, meaning the demand distribution changes over time. Although the underlying demand distribution is not directly observable, demand observations provide partial information. We apply the synchromodal replenishment policy proposed in Yee et al. (2024) that combines a committed, stable rail order with flexible short-term orders on rail and road. The short-term orders are based on inventory levels and partial information about the non-stationary demand. The case study demonstrates the value of adding short-term flexibility to rail orders to induce a modal shift. Our analysis shows how the proposed policy improves the modal shift compared to a benchmark policy without flexible rail orders. The retailer can reduce the carbon footprint of its replenishments without compromising service levels or costs. We also show how offering the flexible rail option increases the rail operator’s revenues. These findings highlight the potential of synchromodal replenishment with flexible rail orders to facilitate a modal shift.
{"title":"Synchromodal replenishment under non-stationary demand: An illustrative case study","authors":"Hannah Yee , Robert N. Boute","doi":"10.1016/j.cstp.2024.101342","DOIUrl":"10.1016/j.cstp.2024.101342","url":null,"abstract":"<div><div>Synchromodal replenishment aligns transport mode decisions with inventory replenishment needs. We present a case study considering the simultaneous use of road and rail transport to replenish a distribution center in Belgium from a supplier in Spain, aiming for a modal shift from road to sustainable rail transport. Product demand is non-stationary, meaning the demand distribution changes over time. Although the underlying demand distribution is not directly observable, demand observations provide partial information. We apply the synchromodal replenishment policy proposed in Yee et al. (2024) that combines a committed, stable rail order with flexible short-term orders on rail and road. The short-term orders are based on inventory levels and partial information about the non-stationary demand. The case study demonstrates the value of adding short-term flexibility to rail orders to induce a modal shift. Our analysis shows how the proposed policy improves the modal shift compared to a benchmark policy without flexible rail orders. The retailer can reduce the carbon footprint of its replenishments without compromising service levels or costs. We also show how offering the flexible rail option increases the rail operator’s revenues. These findings highlight the potential of synchromodal replenishment with flexible rail orders to facilitate a modal shift.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"19 ","pages":"Article 101342"},"PeriodicalIF":2.4,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143093454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
扫码关注我们
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号