Pub Date : 2025-01-13DOI: 10.1016/j.tranpol.2025.01.017
Danting Zhao , Yuandong Liu , Shaoxuan Zhu , Jinglei Chi
Mini-electric vehicles (mini-EVs) have gained popularity in China. However, there has been no research on this new vehicle type. This study fills this gap by examining the determinants and differences in adoption behavior between mini- and full-size EVs. An integrated method of binary logit regression and stepwise forward regression indicated that seven factors determine mini-EV adoption (battery type, travel purpose, commute time, travel demand, battery degradation anxiety, purchase price, and official top speed). Based on this, three profiles are identified for mini-EV adopters (high-cost, long-commute, and multi-purpose adopters), while four profiles are identified for full-size EV adopters (lithium iron phosphate—low demand, short-time commute, ternary lithium-ion—low cost, and ternary lithium-ion—high cost adopters) by latent profile analysis. It is also found that mini-EV adopters have common misperceptions about the vehicle's official top speed and rated seating capacity. This study provides fresh insights into mini-EVs and offers policy guidance for the diffusion of this new type of vehicle.
{"title":"Determinants of mini-electric vehicle adoption: Insights from early-adopters in China","authors":"Danting Zhao , Yuandong Liu , Shaoxuan Zhu , Jinglei Chi","doi":"10.1016/j.tranpol.2025.01.017","DOIUrl":"10.1016/j.tranpol.2025.01.017","url":null,"abstract":"<div><div>Mini-electric vehicles (mini-EVs) have gained popularity in China. However, there has been no research on this new vehicle type. This study fills this gap by examining the determinants and differences in adoption behavior between mini- and full-size EVs. An integrated method of binary logit regression and stepwise forward regression indicated that seven factors determine mini-EV adoption (battery type, travel purpose, commute time, travel demand, battery degradation anxiety, purchase price, and official top speed). Based on this, three profiles are identified for mini-EV adopters (high-cost, long-commute, and multi-purpose adopters), while four profiles are identified for full-size EV adopters (lithium iron phosphate—low demand, short-time commute, ternary lithium-ion—low cost, and ternary lithium-ion—high cost adopters) by latent profile analysis. It is also found that mini-EV adopters have common misperceptions about the vehicle's official top speed and rated seating capacity. This study provides fresh insights into mini-EVs and offers policy guidance for the diffusion of this new type of vehicle.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"163 ","pages":"Pages 298-309"},"PeriodicalIF":6.3,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143174276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-13DOI: 10.1016/j.tranpol.2025.01.018
Yuyuan Wen, Yang Liu, Lei Sheng, Zilong Yu
In the current context of sustainable development in China, the inherent clean and rapid characteristics of high-speed rail (HSR) are reshaping both economic and green development patterns. From the perspective of HSR network centrality, this study employs a panel dataset encompassing 278 Chinese cities and constructs various difference-in-differences (DID) models to analyze the green innovation effects of the HSR network. Empirical findings indicate that the HSR network significantly stimulates urban green innovation, a conclusion further validated through robustness checks. The mechanism analysis reveals that the HSR network promotes the development of tourism economies along its route and the specialized agglomeration of producer service industries, which, in turn, enhances urban green innovation. Further analysis shows that the extent of this impact is influenced by various heterogeneous characteristics, such as urban size, tourism attributes, resource endowments, environmental institutional foundations, and the characteristics of different urban agglomerations. Additionally, the HSR network boosts green innovation levels in both local and neighboring regions, with the positive spatial spillover effect mainly occurring within 200 km. Our findings provide recommendations for promoting urban green innovation and optimizing the HSR network layout. Furthermore, this study enriches the literature on the environmental and economic effects of the HSR network.
{"title":"The impacts of high-speed rail networks on urban green innovation","authors":"Yuyuan Wen, Yang Liu, Lei Sheng, Zilong Yu","doi":"10.1016/j.tranpol.2025.01.018","DOIUrl":"10.1016/j.tranpol.2025.01.018","url":null,"abstract":"<div><div>In the current context of sustainable development in China, the inherent clean and rapid characteristics of high-speed rail (HSR) are reshaping both economic and green development patterns. From the perspective of HSR network centrality, this study employs a panel dataset encompassing 278 Chinese cities and constructs various difference-in-differences (DID) models to analyze the green innovation effects of the HSR network. Empirical findings indicate that the HSR network significantly stimulates urban green innovation, a conclusion further validated through robustness checks. The mechanism analysis reveals that the HSR network promotes the development of tourism economies along its route and the specialized agglomeration of producer service industries, which, in turn, enhances urban green innovation. Further analysis shows that the extent of this impact is influenced by various heterogeneous characteristics, such as urban size, tourism attributes, resource endowments, environmental institutional foundations, and the characteristics of different urban agglomerations. Additionally, the HSR network boosts green innovation levels in both local and neighboring regions, with the positive spatial spillover effect mainly occurring within 200 km. Our findings provide recommendations for promoting urban green innovation and optimizing the HSR network layout. Furthermore, this study enriches the literature on the environmental and economic effects of the HSR network.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"163 ","pages":"Pages 168-184"},"PeriodicalIF":6.3,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143173759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-13DOI: 10.1016/j.tranpol.2025.01.013
Abdurrasheed Olayinka Sirajudeen , Teik Hua Law , Shaw Voon Wong , Choy Peng Ng
Over the past two decades, several studies have shown that the development of road infrastructure significantly reduces road crashes. However, these studies often treated all roads as a single category. In reality, roads can be classified based on their mobility and accessibility. In a recent empirical study, a U-shaped relationship was identified between the road death-to-injury (DTI) ratio and the road mobility-to-accessibility (MTA) ratio. This finding suggests that as the availability of road options increases (encompassing both high-mobility and high-accessibility roads), the DTI ratio decreases. Conversely, in situations with fewer road options, the DTI ratio tends to rise. The underlying reasoning is that more road options reduce the potential for vulnerable and less vulnerable modes of transportation to mix and interact with, improving overall safety. While prior research has examined the direct impact of MTA on the DTI ratio, there exists a gap in understanding the indirect impact of MTA to the DTI ratio. This study utilizes two-equation panel regression models to examine the direct and indirect impacts of MTA on the DTI ratio. The direct impact examines how MTA directly influences the DTI ratio, whereas the indirect impact explores how MTA impacts economic performance through export-led development and the subsequent influence of economic performance on the DTI ratio. The results of this study showed that there is a direct and indirect relationship between the MTA and the DTI ratio. The expected threshold level of the total impact of MTA, which is the sum of its direct and indirect impacts on the DTI ratio, can rise or fall depending on economic performance levels under high export-led growth conditions. The findings provide useful information about future strategies for developing road infrastructure, which can aid in achieving long-term road safety goals.
{"title":"Examining the effect of relative improvements in road mobility versus accessibility on the fatality-to-injury ratio: Insights from income as an intermediate variable","authors":"Abdurrasheed Olayinka Sirajudeen , Teik Hua Law , Shaw Voon Wong , Choy Peng Ng","doi":"10.1016/j.tranpol.2025.01.013","DOIUrl":"10.1016/j.tranpol.2025.01.013","url":null,"abstract":"<div><div>Over the past two decades, several studies have shown that the development of road infrastructure significantly reduces road crashes. However, these studies often treated all roads as a single category. In reality, roads can be classified based on their mobility and accessibility. In a recent empirical study, a U-shaped relationship was identified between the road death-to-injury (DTI) ratio and the road mobility-to-accessibility (MTA) ratio. This finding suggests that as the availability of road options increases (encompassing both high-mobility and high-accessibility roads), the DTI ratio decreases. Conversely, in situations with fewer road options, the DTI ratio tends to rise. The underlying reasoning is that more road options reduce the potential for vulnerable and less vulnerable modes of transportation to mix and interact with, improving overall safety. While prior research has examined the direct impact of MTA on the DTI ratio, there exists a gap in understanding the indirect impact of MTA to the DTI ratio. This study utilizes two-equation panel regression models to examine the direct and indirect impacts of MTA on the DTI ratio. The direct impact examines how MTA directly influences the DTI ratio, whereas the indirect impact explores how MTA impacts economic performance through export-led development and the subsequent influence of economic performance on the DTI ratio. The results of this study showed that there is a direct and indirect relationship between the MTA and the DTI ratio. The expected threshold level of the total impact of MTA, which is the sum of its direct and indirect impacts on the DTI ratio, can rise or fall depending on economic performance levels under high export-led growth conditions. The findings provide useful information about future strategies for developing road infrastructure, which can aid in achieving long-term road safety goals.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"163 ","pages":"Pages 262-272"},"PeriodicalIF":6.3,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143174279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-11DOI: 10.1016/j.tranpol.2024.12.023
Ruihong Sun , Chun-Da Chen , Ming-Hsiang Chen , Renxin Wang , Xinliang Ye , Suiwen Sharon Zou
The cruise industry is highly vulnerable to adverse weather conditions and poor air quality, both of which carry significant economic implications. This study explores these challenges through a multi-stage theoretical framework, integrating weather risk and impact theory, complex systems theory, and risk loss theory. Using a diverse range of methodologies—including single-factor and multi-factor Generalized Additive Models (GAM) and Classification and Regression Trees (CART) analysis—we systematically identify key determinants of cruise delays, such as wind speed, precipitation, visibility, and sulfur dioxide (SO2), and analyze their impacts in depth. Our findings reveal a synergistic effect between wind speed and SO2 in intensifying delays, challenging traditional weather risk models and calling for a more holistic approach. The CART analysis further simplifies these complex interactions into practical decision-making tools for industry stakeholders. Additionally, through the Time Value Assessment Method, we quantify the economic consequences of delays, demonstrating that losses escalate significantly as delays prolong. This study sets a new benchmark for environmental risk analysis in maritime transportation and provides actionable insights for developing adaptable, sustainable policy frameworks in the cruise industry.
{"title":"The impact of meteorological factors on cruise operations","authors":"Ruihong Sun , Chun-Da Chen , Ming-Hsiang Chen , Renxin Wang , Xinliang Ye , Suiwen Sharon Zou","doi":"10.1016/j.tranpol.2024.12.023","DOIUrl":"10.1016/j.tranpol.2024.12.023","url":null,"abstract":"<div><div>The cruise industry is highly vulnerable to adverse weather conditions and poor air quality, both of which carry significant economic implications. This study explores these challenges through a multi-stage theoretical framework, integrating weather risk and impact theory, complex systems theory, and risk loss theory. Using a diverse range of methodologies—including single-factor and multi-factor Generalized Additive Models (GAM) and Classification and Regression Trees (CART) analysis—we systematically identify key determinants of cruise delays, such as wind speed, precipitation, visibility, and sulfur dioxide (SO<sub>2</sub>), and analyze their impacts in depth. Our findings reveal a synergistic effect between wind speed and SO<sub>2</sub> in intensifying delays, challenging traditional weather risk models and calling for a more holistic approach. The CART analysis further simplifies these complex interactions into practical decision-making tools for industry stakeholders. Additionally, through the Time Value Assessment Method, we quantify the economic consequences of delays, demonstrating that losses escalate significantly as delays prolong. This study sets a new benchmark for environmental risk analysis in maritime transportation and provides actionable insights for developing adaptable, sustainable policy frameworks in the cruise industry.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"163 ","pages":"Pages 232-246"},"PeriodicalIF":6.3,"publicationDate":"2025-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143173296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study investigates how Europe financed an efficient and environmentally friendly transport system and supported clean shipping investments from 2012 to 2021. Grounded in target costing theory, which aims to maximize a product's future success, this paper evaluates several green European financing pools and their effectiveness in facilitating the Green Deal transformation of the transport system. Utilizing a unique dataset from the Clean Shipping Project Platform, the results of this study indicate that Europe's environmental and financial support primarily stemmed from the European Investment Bank (EIB) which began backing green investments in 2010. The findings reveal a cautious yet significant contribution of the EIB towards climate protection in the shipping industry and identify challenges in financing smaller firms and innovative technologies thus emphasizing the need for strategic fund allocation to align with the EU's climate goals. These insights have critical policy implications for EU-based financing of European environmental policies prior to the proclamation of the Green Deal, which preceded the 2021–2028 budget period, as well as for the available climate funding mechanisms aimed at achieving the COP26 targets.
{"title":"Green Deal and financing sustainable transport in Europe: A target costing analysis","authors":"Yassine Bakkar , Eunice Bark , Gunnar Prause , Shajara Ul-Durar","doi":"10.1016/j.tranpol.2025.01.014","DOIUrl":"10.1016/j.tranpol.2025.01.014","url":null,"abstract":"<div><div>This study investigates how Europe financed an efficient and environmentally friendly transport system and supported clean shipping investments from 2012 to 2021. Grounded in target costing theory, which aims to maximize a product's future success, this paper evaluates several green European financing pools and their effectiveness in facilitating the Green Deal transformation of the transport system. Utilizing a unique dataset from the Clean Shipping Project Platform, the results of this study indicate that Europe's environmental and financial support primarily stemmed from the European Investment Bank (EIB) which began backing green investments in 2010. The findings reveal a cautious yet significant contribution of the EIB towards climate protection in the shipping industry and identify challenges in financing smaller firms and innovative technologies thus emphasizing the need for strategic fund allocation to align with the EU's climate goals. These insights have critical policy implications for EU-based financing of European environmental policies prior to the proclamation of the Green Deal, which preceded the 2021–2028 budget period, as well as for the available climate funding mechanisms aimed at achieving the COP26 targets.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"163 ","pages":"Pages 185-198"},"PeriodicalIF":6.3,"publicationDate":"2025-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143173809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-10DOI: 10.1016/j.tranpol.2025.01.016
Jing Lu , Yuman Liu , Changmin Jiang , Weiwei Wu
Parcel delivery in rural areas suffers from low efficiency due to low drop density and high delivery costs. In the sense, we examine a new method of delivering packages using trucks and drones together. Specifically, we optimize the truck-drone delivery network and compare the performance of two modes: truck with one drone and truck with multiple drones. The existing model is extened by intergrating different types of truck-drone coordinated trajectory and accounting for both time-related and monetary costs. Furthermore, the specific influences of the truck and drone unit cost to the truck-drone joint delivery are tested and the advantages of such delivery in rural areas are explored with the comparison of the urban case. The results indicate that the truck-drone joint delivery is a feasible option for rural areas, as it can significantly reduce the costs. However, the practical application of this method requires optimal network incorporating designing suitable truck and drone coordinated trajectory as well as appropriate drone unit cost. It also shows that using multiple drones can lower down the costs, but only when the demand volume exceeds a certain threshold in the rural area under study.
{"title":"Truck-drone joint delivery network for rural area: Optimization and implications","authors":"Jing Lu , Yuman Liu , Changmin Jiang , Weiwei Wu","doi":"10.1016/j.tranpol.2025.01.016","DOIUrl":"10.1016/j.tranpol.2025.01.016","url":null,"abstract":"<div><div>Parcel delivery in rural areas suffers from low efficiency due to low drop density and high delivery costs. In the sense, we examine a new method of delivering packages using trucks and drones together. Specifically, we optimize the truck-drone delivery network and compare the performance of two modes: truck with one drone and truck with multiple drones. The existing model is extened by intergrating different types of truck-drone coordinated trajectory and accounting for both time-related and monetary costs. Furthermore, the specific influences of the truck and drone unit cost to the truck-drone joint delivery are tested and the advantages of such delivery in rural areas are explored with the comparison of the urban case. The results indicate that the truck-drone joint delivery is a feasible option for rural areas, as it can significantly reduce the costs. However, the practical application of this method requires optimal network incorporating designing suitable truck and drone coordinated trajectory as well as appropriate drone unit cost. It also shows that using multiple drones can lower down the costs, but only when the demand volume exceeds a certain threshold in the rural area under study.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"163 ","pages":"Pages 273-284"},"PeriodicalIF":6.3,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143174278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-08DOI: 10.1016/j.tranpol.2025.01.012
Sushil Kumar Rai , T. Bangar Raju
{"title":"Accessing the causality among air transportation, trade openness and GDP: Evidence from a panel of high-income countries","authors":"Sushil Kumar Rai , T. Bangar Raju","doi":"10.1016/j.tranpol.2025.01.012","DOIUrl":"10.1016/j.tranpol.2025.01.012","url":null,"abstract":"","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"163 ","pages":"Pages 116-124"},"PeriodicalIF":6.3,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143173763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-07DOI: 10.1016/j.tranpol.2025.01.011
Shuiyang Chen , Bin Meng , Haibo Kuang
With the shipping industry undergoing a profound green transformation, the demand for green financing in the shipbuilding sector has reached unprecedented levels, attracting widespread attention from global investors. We develop an advanced framework for joint risk measurement based on higher-order moments. This framework focuses on risk spillovers and investment management in green bonds and shipbuilding markets. By applying the framework, we reveal the significant role of higher-order moment joint risk information in investment and risk management. This includes accurately assessing substantial risk spillovers between green bonds and shipbuilding markets while overcoming limitations inherent in minimum variance portfolio theory, constructing robust higher-order moment portfolio technique to enhance returns. Our research provides governments with a methodological framework for accurately assessing market risks. It also offers investors interested in green shipbuilding specific trading strategies and investment approaches, which aim to mitigate risk and achieve stable returns in turbulent economic environments.
{"title":"High-order moment joint risk spillovers and investment management: Implications for green shipbuilding policy and practice","authors":"Shuiyang Chen , Bin Meng , Haibo Kuang","doi":"10.1016/j.tranpol.2025.01.011","DOIUrl":"10.1016/j.tranpol.2025.01.011","url":null,"abstract":"<div><div>With the shipping industry undergoing a profound green transformation, the demand for green financing in the shipbuilding sector has reached unprecedented levels, attracting widespread attention from global investors. We develop an advanced framework for joint risk measurement based on higher-order moments. This framework focuses on risk spillovers and investment management in green bonds and shipbuilding markets. By applying the framework, we reveal the significant role of higher-order moment joint risk information in investment and risk management. This includes accurately assessing substantial risk spillovers between green bonds and shipbuilding markets while overcoming limitations inherent in minimum variance portfolio theory, constructing robust higher-order moment portfolio technique to enhance returns. Our research provides governments with a methodological framework for accurately assessing market risks. It also offers investors interested in green shipbuilding specific trading strategies and investment approaches, which aim to mitigate risk and achieve stable returns in turbulent economic environments.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"163 ","pages":"Pages 152-167"},"PeriodicalIF":6.3,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143173760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-07DOI: 10.1016/j.tranpol.2025.01.010
Sriram Mangu , B. Raghuram Kadali , Saladi S.V. Subbarao , Jen-Jia Lin
Transit-Oriented Development (TOD) involves meticulously planned urban development, typically around metro stations, to initiate sustainable outcomes. However, this integrated urban and transportation planning requires a thorough evaluation of the station areas, which is currently lacking in the case of developing world. This work seeks to construct a TOD index using the proposed 9-D criteria which includes density, diversity, design, distance to transit, destination accessibility, demand management, desirability of transit, dissonance, and deference to the environment for evaluating and classifying ten station areas of Hyderabad (India) into different TOD types. The indicators were selected via a Delphi survey, which, with the input of experts' opinions, ranked the indicators according to 9 parameters and narrowed the field down to 27 key indicators. A Best-Worst Method (BWM) has been adopted to carry out the evaluation, while k-means clustering technique is used to classify the station areas. The station areas are assessed in terms of transit status, orientation status, and development status. Using this, certain policy suggestions can be devised for each TOD type to ensure more sustainable outcomes. An increase in TOD-ness through a ground-level manipulation of the TOD criteria is more likely to be a greater success in fulfilling the TOD policy goals.
{"title":"Evaluation of transit-oriented development based on 9D’s approach in developing countries context","authors":"Sriram Mangu , B. Raghuram Kadali , Saladi S.V. Subbarao , Jen-Jia Lin","doi":"10.1016/j.tranpol.2025.01.010","DOIUrl":"10.1016/j.tranpol.2025.01.010","url":null,"abstract":"<div><div>Transit-Oriented Development (TOD) involves meticulously planned urban development, typically around metro stations, to initiate sustainable outcomes. However, this integrated urban and transportation planning requires a thorough evaluation of the station areas, which is currently lacking in the case of developing world. This work seeks to construct a TOD index using the proposed 9-D criteria which includes density, diversity, design, distance to transit, destination accessibility, demand management, desirability of transit, dissonance, and deference to the environment for evaluating and classifying ten station areas of Hyderabad (India) into different TOD types. The indicators were selected via a Delphi survey, which, with the input of experts' opinions, ranked the indicators according to 9 parameters and narrowed the field down to 27 key indicators. A Best-Worst Method (BWM) has been adopted to carry out the evaluation, while k-means clustering technique is used to classify the station areas. The station areas are assessed in terms of transit status, orientation status, and development status. Using this, certain policy suggestions can be devised for each TOD type to ensure more sustainable outcomes. An increase in TOD-ness through a ground-level manipulation of the TOD criteria is more likely to be a greater success in fulfilling the TOD policy goals.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"163 ","pages":"Pages 138-151"},"PeriodicalIF":6.3,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143173761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-07DOI: 10.1016/j.tranpol.2025.01.008
Francisco Javier Mafla-Hernández , Carlos A. Gonzalez-Calderon , John Jairo Posada-Henao
This paper addresses a significant gap in the literature regarding freight trip generation in Large Freight Trip Generators (LFTGs) in urban areas and emerging countries. We employ a comprehensive approach using linear and nonlinear models and Ordinary Least Squares (OLS) techniques to provide insights into various types of urban generators, including universities, firms, shopping centers, and markets. Our research aims to enhance the understanding of trip generation patterns in these diverse LFTG contexts within a framework of modeling and application in public policies. The freight trip generation models were estimated by analyzing the variables associated with the production and attraction of freight trips in an LFTG. The variables used were specific to the type of establishment, such as the number of employees, the area and extent of the commercial premises, hotels, and universities, and the number of rooms and students, respectively. The 2018 Freight Transportation Study of the Medellin Metropolitan Area (Colombia) played a crucial role in our research, providing the data necessary to estimate 108 models explaining freight trip generation in large facilities across seven categories: universities, hotels, firms, shopping centers, hospitals, buildings, and markets. The results can aid in planning LFTG infrastructure in cities, facilitate vehicle emission analysis, and support decision-making by considering multiple methods for planning, making informed decisions, and opening avenues for further research. Additionally, indicators can be created to align with urban norms in city plans; for example, this research proposes an indicator for the urban planning of LFTGs in cities, which can be continuously measured and evaluated alongside the analysis of Traffic Analysis Zones (TAZ). This study is the first in South America and opens the door to logistical planning within Latin American cities for LFTGs.
{"title":"Freight trip generation modeling for large facilities in urban areas: An empirical Investigation","authors":"Francisco Javier Mafla-Hernández , Carlos A. Gonzalez-Calderon , John Jairo Posada-Henao","doi":"10.1016/j.tranpol.2025.01.008","DOIUrl":"10.1016/j.tranpol.2025.01.008","url":null,"abstract":"<div><div>This paper addresses a significant gap in the literature regarding freight trip generation in Large Freight Trip Generators (LFTGs) in urban areas and emerging countries. We employ a comprehensive approach using linear and nonlinear models and Ordinary Least Squares (OLS) techniques to provide insights into various types of urban generators, including universities, firms, shopping centers, and markets. Our research aims to enhance the understanding of trip generation patterns in these diverse LFTG contexts within a framework of modeling and application in public policies. The freight trip generation models were estimated by analyzing the variables associated with the production and attraction of freight trips in an LFTG. The variables used were specific to the type of establishment, such as the number of employees, the area and extent of the commercial premises, hotels, and universities, and the number of rooms and students, respectively. The 2018 Freight Transportation Study of the Medellin Metropolitan Area (Colombia) played a crucial role in our research, providing the data necessary to estimate 108 models explaining freight trip generation in large facilities across seven categories: universities, hotels, firms, shopping centers, hospitals, buildings, and markets. The results can aid in planning LFTG infrastructure in cities, facilitate vehicle emission analysis, and support decision-making by considering multiple methods for planning, making informed decisions, and opening avenues for further research. Additionally, indicators can be created to align with urban norms in city plans; for example, this research proposes an indicator for the urban planning of LFTGs in cities, which can be continuously measured and evaluated alongside the analysis of Traffic Analysis Zones (TAZ). This study is the first in South America and opens the door to logistical planning within Latin American cities for LFTGs.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"163 ","pages":"Pages 102-115"},"PeriodicalIF":6.3,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143173765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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