Pub Date : 2025-02-01DOI: 10.1016/j.tra.2025.104386
Sunghoon Jang , Doosun Hong , Youngho Kim , Chungwon Lee
This study explores preferences for ride-sourcing taxis, which represent a compromise option between traditional taxis and ride-sourcing services. To capture the additional market share for the ride-sourcing taxi in line with the theory of compromise effects, random regret minimization (RRM) models are applied. We considered both the classical RRM (C-RRM) model and the generalized RRM (G-RRM) model. We also proposed a new perspective on the derivation of the G-RRM model, in that this model is derived from the parallel translation of the C-RRM model. The data used in this study is based on a stated preference survey that measured not only walking time, fare, and cancellation fees but also uncertain waiting time regarding the ride-sourcing taxi. Also, the effects of trip contexts and latent attitudes toward emerging transportation technology and innovative service were explored. Our results, based on a latent class G-RRM model, reveal that most respondents are either high compromisers or low compromisers in the choice context. The high compromisers and low compromisers showed regret-aversion behavior to process the information of the explanatory variables in the survey. The low compromisers showed the greatest degree of regret-aversion behavior for uncertain waiting time.
{"title":"Investigation of preferences for ride-sourcing taxis: Compromise effect and regret-based latent class modeling","authors":"Sunghoon Jang , Doosun Hong , Youngho Kim , Chungwon Lee","doi":"10.1016/j.tra.2025.104386","DOIUrl":"10.1016/j.tra.2025.104386","url":null,"abstract":"<div><div>This study explores preferences for ride-sourcing taxis, which represent a compromise option between traditional taxis and ride-sourcing services. To capture the additional market share for the ride-sourcing taxi in line with the theory of compromise effects, random regret minimization (RRM) models are applied. We considered both the classical RRM (C-RRM) model and the generalized RRM (G-RRM) model. We also proposed a new perspective on the derivation of the G-RRM model, in that this model is derived from the parallel translation of the C-RRM model. The data used in this study is based on a stated preference survey that measured not only walking time, fare, and cancellation fees but also uncertain waiting time regarding the ride-sourcing taxi. Also, the effects of trip contexts and latent attitudes toward emerging transportation technology and innovative service were explored. Our results, based on a latent class G-RRM model, reveal that most respondents are either high compromisers or low compromisers in the choice context. The high compromisers and low compromisers showed regret-aversion behavior to process the information of the explanatory variables in the survey. The low compromisers showed the greatest degree of regret-aversion behavior for uncertain waiting time.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"192 ","pages":"Article 104386"},"PeriodicalIF":6.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143146054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Transport infrastructure construction is often pursued for its economic benefits. However, it is typically accompanied by environmental disruption, which can extend to neighboring areas. This study analyzes the impact of high-speed rail (HSR) stations on the green space coverage rate (GSCR) using panel data from 291 cities including 287 prefecture-level cities and 4 direct-administered municipalities in China over the period 2009–2020. GSCR is calculated as the proportion of green space coverage to the total land area. Results indicate that the opening of HSR stations directly reduced the GSCRs of local cities by 0.16 percentage points and those of neighboring cities by 0.14 percentage points, leading to a total average reduction of 0.3 percentage points. Given that the average GSCR is only 1.08 %, this signifies a strong negative impact and a spatial spillover effect. A high level of regional disparity in GSCR is also evident, as indicated by a Gini coefficient greater than 0.7 throughout the study period. This indicates that a small proportion of cities, less than 3.5 %, account for over 50 % of the total GSCR. Notably, the development of HSR has been found to considerably alleviate this regional disparity. These findings underscore the need for policymakers to consider local and regional impacts when making decisions related to land use, infrastructure, and green spaces. Furthermore, addressing regional disparity is crucial for fostering a harmonious society, requiring close coordination in future planning.
{"title":"Impact of high-speed rail on green space coverage in China: From the spatial spillover effect and regional disparity perspectives","authors":"Hao Lang , Hanxiang Zhang , Zezhou Wu , Xiangsheng Chen","doi":"10.1016/j.tra.2024.104343","DOIUrl":"10.1016/j.tra.2024.104343","url":null,"abstract":"<div><div>Transport infrastructure construction is often pursued for its economic benefits. However, it is typically accompanied by environmental disruption, which can extend to neighboring areas. This study analyzes the impact of high-speed rail (HSR) stations on the green space coverage rate (GSCR) using panel data from 291 cities including 287 prefecture-level cities and 4 direct-administered municipalities in China over the period 2009–2020. GSCR is calculated as the proportion of green space coverage to the total land area. Results indicate that the opening of HSR stations directly reduced the GSCRs of local cities by 0.16 percentage points and those of neighboring cities by 0.14 percentage points, leading to a total average reduction of 0.3 percentage points. Given that the average GSCR is only 1.08 %, this signifies a strong negative impact and a spatial spillover effect. A high level of regional disparity in GSCR is also evident, as indicated by a Gini coefficient greater than 0.7 throughout the study period. This indicates that a small proportion of cities, less than 3.5 %, account for over 50 % of the total GSCR. Notably, the development of HSR has been found to considerably alleviate this regional disparity. These findings underscore the need for policymakers to consider local and regional impacts when making decisions related to land use, infrastructure, and green spaces. Furthermore, addressing regional disparity is crucial for fostering a harmonious society, requiring close coordination in future planning.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"192 ","pages":"Article 104343"},"PeriodicalIF":6.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143146508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.tra.2024.104333
Kenneth Løvold Rødseth , Timo Kuosmanen , Rasmus Bøgh Holmen
Seaport efficiency measurement is one of the most popular topics in maritime economics. Studies within this research area have not paid attention to the well-known simultaneity bias in productivity and efficiency measurement that can lead to inconsistent estimates of best practices. This paper investigates simultaneity in seaport efficiency measurement and proposes a novel strategy to mitigate the bias by exploiting the relationship between port efficiency and choice, another key topic within the maritime literature. A non-parametric framework for joint estimation of production and control functions subject to shape constraints is further developed. Contrary to comparable methods for controlling for simultaneity, the new method does not require multiple steps and rigorous assumptions about the error term to retrieve the port production function. An empirical investigation is provided for the eight largest container ports in Norway to showcase presence and mitigation of simultaneity bias in efficiency analysis of seaports.
{"title":"Mitigating simultaneity bias in seaport efficiency measurement","authors":"Kenneth Løvold Rødseth , Timo Kuosmanen , Rasmus Bøgh Holmen","doi":"10.1016/j.tra.2024.104333","DOIUrl":"10.1016/j.tra.2024.104333","url":null,"abstract":"<div><div>Seaport efficiency measurement is one of the most popular topics in maritime economics. Studies within this research area have not paid attention to the well-known simultaneity bias in productivity and efficiency measurement that can lead to inconsistent estimates of best practices. This paper investigates simultaneity in seaport efficiency measurement and proposes a novel strategy to mitigate the bias by exploiting the relationship between port efficiency and choice, another key topic within the maritime literature. A non-parametric framework for joint estimation of production and control functions subject to shape constraints is further developed. Contrary to comparable methods for controlling for simultaneity, the new method does not require multiple steps and rigorous assumptions about the error term to retrieve the port production function. An empirical investigation is provided for the eight largest container ports in Norway to showcase presence and mitigation of simultaneity bias in efficiency analysis of seaports.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"192 ","pages":"Article 104333"},"PeriodicalIF":6.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143146517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 : 2025-02-01DOI: 10.1016/j.tra.2024.104359
Jun Li , Ao Zhang , Chengyuan Wang , Shanyong Wang , Liang Liang
As environmental issues caused by the transportation sector become increasingly severe, incentivizing consumers to shift to electric vehicles (EVs) has become ever more significant. This research examines how environmental concern and moral obligation (push factors), perceived operating costs and environmental threats (pull factors), and perceived risk (mooring factors) within the push–pull-mooring paradigm influence customers’ willingness to switch to EVs. The results show that environmental concern and moral obligation draw consumers to EVs, while perceived operating costs and environmental threats discourage consumers from choosing internal combustion engine vehicles (ICEVs). Perceived risk negatively affects consumers’ willingness to switch to EVs, diminishing the impact of both push and pull factors. These findings are critical for China in achieving its “dual carbon” goals. We propose policy recommendations and suggestions to further promote EV adoption in light of the research conclusions.
{"title":"Switching behavior in the adoption of electric vehicle in China: Perspective of push–pull-mooring framework","authors":"Jun Li , Ao Zhang , Chengyuan Wang , Shanyong Wang , Liang Liang","doi":"10.1016/j.tra.2024.104359","DOIUrl":"10.1016/j.tra.2024.104359","url":null,"abstract":"<div><div>As environmental issues caused by the transportation sector become increasingly severe, incentivizing consumers to shift to electric vehicles (EVs) has become ever more significant. This research examines how environmental concern and moral obligation (push factors), perceived operating costs and environmental threats (pull factors), and perceived risk (mooring factors) within the push–pull-mooring paradigm influence customers’ willingness to switch to EVs. The results show that environmental concern and moral obligation draw consumers to EVs, while perceived operating costs and environmental threats discourage consumers from choosing internal combustion engine vehicles (ICEVs). Perceived risk negatively affects consumers’ willingness to switch to EVs, diminishing the impact of both push and pull factors. These findings are critical for China in achieving its “dual carbon” goals. We propose policy recommendations and suggestions to further promote EV adoption in light of the research conclusions.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"192 ","pages":"Article 104359"},"PeriodicalIF":6.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143146521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.tra.2024.104356
Johannes Mauritzen
An important question for the widely shared goal of electrifying passenger vehicles is how the price of electricity, which can vary greatly across countries and regions, affects buying behavior. I make use of a natural experiment in Norway in the period 2021–2022, when large electricity price differences emerged between northern and southern areas, to estimate the effect of electricity prices on the decision to purchase a pure battery-electric vehicle. Simple difference estimates along the border of the price zones as well as a difference-in-difference regression model suggest a significant but economically modest effect of a 2–4% reduction in the probability of purchasing an electric vehicle in the high-price zone conditional on the purchase of a new car.
{"title":"With great power (prices) comes great tail pipe emissions? A natural experiment of electricity prices and electric car adoption","authors":"Johannes Mauritzen","doi":"10.1016/j.tra.2024.104356","DOIUrl":"10.1016/j.tra.2024.104356","url":null,"abstract":"<div><div>An important question for the widely shared goal of electrifying passenger vehicles is how the price of electricity, which can vary greatly across countries and regions, affects buying behavior. I make use of a natural experiment in Norway in the period 2021–2022, when large electricity price differences emerged between northern and southern areas, to estimate the effect of electricity prices on the decision to purchase a pure battery-electric vehicle. Simple difference estimates along the border of the price zones as well as a difference-in-difference regression model suggest a significant but economically modest effect of a 2–4% reduction in the probability of purchasing an electric vehicle in the high-price zone conditional on the purchase of a new car.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"192 ","pages":"Article 104356"},"PeriodicalIF":6.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143146594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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 : 2025-02-01DOI: 10.1016/j.tra.2024.104321
Carlos Rivera-Gonzalez , Jose Holguin-Veras
This research develops the first analytical model to support Freight Efficient Land-Use (FELU) design and planning that considers the effects of land-use decisions on the associated freight tour distribution. The optimal facility location model developed considers the social costs—the summation of both private and external costs—associated with the location and the associated delivery operations. The freight tour distribution is determined by means of entropy maximization, which estimates the most likely freight traffic vehicle tours associated with the deliveries to the corresponding consumers. The model seeks to obtain the set of Distribution Centers (DCs) that minimizes the social cost defined as the summation of the: (1) location cost, (2) the delivery tours likely to emerge from a given location, and (3) external costs produced by freight vehicles while delivering cargo. The formulation developed in this research is the first in the literature to explicitly minimize the social cost while considering the effects of land-use decisions on the delivery tour patterns emanating from DCs. To gain insight into the reasonableness and practicality of the model, the authors define two test cases inspired by New York City with different industry sectors. In addition, a second version of the model is developed to incorporate the principle of environmental justice by considering shadow prices to account for the differential effects of local emissions on low-income and disadvantaged communities. This research aims to improve land-use regional planning processes by developing a methodology that captures the interconnections between land-use location decisions and freight traffic. Ultimately, this research seeks to foster more compact supply chains by reducing Vehicles Miles Traveled (VMT) and having more sustainable economies in which efficiency, livability, and environmental objectives go hand in hand.
{"title":"A facility location problem considering freight tours to support Freight-Efficient Land Use planning","authors":"Carlos Rivera-Gonzalez , Jose Holguin-Veras","doi":"10.1016/j.tra.2024.104321","DOIUrl":"10.1016/j.tra.2024.104321","url":null,"abstract":"<div><div>This research develops the first analytical model to support Freight Efficient Land-Use (FELU) design and planning that considers the effects of land-use decisions on the associated freight tour distribution. The optimal facility location model developed considers the social costs—the summation of both private and external costs—associated with the location and the associated delivery operations. The freight tour distribution is determined by means of entropy maximization, which estimates the most likely freight traffic vehicle tours associated with the deliveries to the corresponding consumers. The model seeks to obtain the set of Distribution Centers (DCs) that minimizes the social cost defined as the summation of the: (1) location cost, (2) the delivery tours likely to emerge from a given location, and (3) external costs produced by freight vehicles while delivering cargo. The formulation developed in this research is the first in the literature to explicitly minimize the social cost while considering the effects of land-use decisions on the delivery tour patterns emanating from DCs. To gain insight into the reasonableness and practicality of the model, the authors define two test cases inspired by New York City with different industry sectors. In addition, a second version of the model is developed to incorporate the principle of environmental justice by considering shadow prices to account for the differential effects of local emissions on low-income and disadvantaged communities. This research aims to improve land-use regional planning processes by developing a methodology that captures the interconnections between land-use location decisions and freight traffic. Ultimately, this research seeks to foster more compact supply chains by reducing Vehicles Miles Traveled (VMT) and having more sustainable economies in which efficiency, livability, and environmental objectives go hand in hand.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"192 ","pages":"Article 104321"},"PeriodicalIF":6.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143146595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Corrigendum to “Seismic resilience assessment of interdependent urban transportation-electric power system under uncertainty” [Transp. Res. A Policy Pract. 183 (2024) 104078]","authors":"Wangxin Zhang , Qiang Han , Wen-Long Shang , Chengshun Xu","doi":"10.1016/j.tra.2024.104365","DOIUrl":"10.1016/j.tra.2024.104365","url":null,"abstract":"","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"192 ","pages":"Article 104365"},"PeriodicalIF":6.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143378547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.tra.2024.104353
Yu Jiang , Zhichao Li , Yasha Wang , Qingwen Xue
The development of electric vertical take-off and landing aircraft (eVTOL) is expected to provide a new mode of transportation and effectively alleviate traffic congestion in large cities. Vertiports are necessary landing and take-off facilities for eVTOL. The selection of the appropriate locations for vertiports is highly important for the development of urban air mobility (UAM). In this study, a systematic vertiport location method is constructed to facilitate UAM development. First, the UAM demand is evaluated considering the differences in UAM services. The demand is divided into on-demand mobility (ODM) demand and regular shuttle (RS) demand, which are separately evaluated with a discrete choice model. Then, the multidimensional polygon intersection point set (MPIPS) is deployed to determine the potential vertiport location. To improve the demand coverage of travel and decrease traffic congestion and redundant demand coverage, a multiobjective multistage facility maximum coverage location model is developed for vertiports. The nondominated sorting genetic algorithm, version 3 (NSGA-III), with three location strategies, namely, step-by-step, forward prioritization, and balanced development, is proposed to solve the model. Data from Beijing are used to validate the proposed model. The results indicate that the balanced development algorithm achieves the best performance, with an 84.4 % coverage rate of the RS demand and a 44.4 % coverage rate of the ODM demand. Constructing vertiports in high travel demand areas can significantly improve ODM and RS demand coverage and the ability to alleviate traffic congestion but inevitably leads to facility redundancy. However, constructing vertiports in high GDP areas would only marginally increase ODM demand coverage and have a negative effect on other metrics. Moreover, constructing vertiports in inaccessible areas can improve ODM demand coverage and decrease facility redundancy but reduces the ability to alleviate traffic congestion at facilities. These findings can improve the application of eVTOL, alleviate traffic congestion, reduce wasted construction resources, and optimize synergistic capabilities within the UAM system.
{"title":"Vertiport location for eVTOL considering multidimensional demand of urban air mobility: An application in Beijing","authors":"Yu Jiang , Zhichao Li , Yasha Wang , Qingwen Xue","doi":"10.1016/j.tra.2024.104353","DOIUrl":"10.1016/j.tra.2024.104353","url":null,"abstract":"<div><div>The development of electric vertical take-off and landing aircraft (eVTOL) is expected to provide a new mode of transportation and effectively alleviate traffic congestion in large cities. Vertiports are necessary landing and take-off facilities for eVTOL. The selection of the appropriate locations for vertiports is highly important for the development of urban air mobility (UAM). In this study, a systematic vertiport location method is constructed to facilitate UAM development. First, the UAM demand is evaluated considering the differences in UAM services. The demand is divided into on-demand mobility (ODM) demand and regular shuttle (RS) demand, which are separately evaluated with a discrete choice model. Then, the multidimensional polygon intersection point set (MPIPS) is deployed to determine the potential vertiport location. To improve the demand coverage of travel and decrease traffic congestion and redundant demand coverage, a multiobjective multistage facility maximum coverage location model is developed for vertiports. The nondominated sorting genetic algorithm, version 3 (NSGA-III), with three location strategies, namely, step-by-step, forward prioritization, and balanced development, is proposed to solve the model. Data from Beijing are used to validate the proposed model. The results indicate that the balanced development algorithm achieves the best performance, with an 84.4 % coverage rate of the RS demand and a 44.4 % coverage rate of the ODM demand. Constructing vertiports in high travel demand areas can significantly improve ODM and RS demand coverage and the ability to alleviate traffic congestion but inevitably leads to facility redundancy. However, constructing vertiports in high GDP areas would only marginally increase ODM demand coverage and have a negative effect on other metrics. Moreover, constructing vertiports in inaccessible areas can improve ODM demand coverage and decrease facility redundancy but reduces the ability to alleviate traffic congestion at facilities. These findings can improve the application of eVTOL, alleviate traffic congestion, reduce wasted construction resources, and optimize synergistic capabilities within the UAM system.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"192 ","pages":"Article 104353"},"PeriodicalIF":6.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143145968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.tra.2025.104375
Xiaoquan Wang , Jiaxin Han , Chaoying Yin , Chunfu Shao , Junyi Zhang
The literature has extensively evaluated the built environment (BE) and travel satisfaction connections; however, there is a lack of research on their potential nonlinear connections and differences in these connections across various groups. The study applies a double machine learning method to scrutinize the nonlinear associations of travel satisfaction with BE, as well as how these connections vary across consonant and dissonant travelers. The findings indicate that BE variables at both residences and trip destinations play a significant role in predicting travel mode dissonance. Furthermore, the study highlights the differentiated impacts of BE variables at different locations on travel satisfaction, with relative contributions of 49.34% and 71.60% for consonant and dissonant travelers, respectively. Additionally, the analysis reveals nonlinear connections between BE variables and travel satisfaction, with variations in connection patterns between consonant and dissonant travelers. The findings deepen the understanding of travel satisfaction and offer implications for land use planning.
{"title":"Built environment and travel satisfaction revisited: Differences between consonant and dissonant travelers","authors":"Xiaoquan Wang , Jiaxin Han , Chaoying Yin , Chunfu Shao , Junyi Zhang","doi":"10.1016/j.tra.2025.104375","DOIUrl":"10.1016/j.tra.2025.104375","url":null,"abstract":"<div><div>The literature has extensively evaluated the built environment (BE) and travel satisfaction connections; however, there is a lack of research on their potential nonlinear connections and differences in these connections across various groups. The study applies a double machine learning method to scrutinize the nonlinear associations of travel satisfaction with BE, as well as how these connections vary across consonant and dissonant travelers. The findings indicate that BE variables at both residences and trip destinations play a significant role in predicting travel mode dissonance. Furthermore, the study highlights the differentiated impacts of BE variables at different locations on travel satisfaction, with relative contributions of 49.34% and 71.60% for consonant and dissonant travelers, respectively. Additionally, the analysis reveals nonlinear connections between BE variables and travel satisfaction, with variations in connection patterns between consonant and dissonant travelers. The findings deepen the understanding of travel satisfaction and offer implications for land use planning.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"192 ","pages":"Article 104375"},"PeriodicalIF":6.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143146682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.tra.2025.104392
Tianli Tang , Ronghui Liu , Greg Marsden , Ziyuan Gu , Xiao Fu
The kerbside of today is a complex environment with a huge diversity of uses and highly dynamic patterns of use, including for parking, (un)loading, EV charging, and bus stops. The competition for kerbside space is to become more fierce with the rising of car-hailing services (CHS) and soon the connected and autonomous vehicles (CAVs). The kerbside is an often overlooked yet critical urban infrastructure which requires better understanding of its varies uses and functions. In this paper, we examine the competition between CHSs and traditional buses on the use of kerbside lanes. More specifically, we investigate the relationship between the mode share of car-hailing and bus services, network congestion and the performance of bus priority strategies along a real-life bus corridor and quantify their effects through simulation modelling of a set of future scenarios. The results show that the increasing penetration of car-hailing services will negatively impact network performance due to the growing number of kerbside stops, while increasing the share of public transport can help mitigate this loss and improve network resilience. Additionally, bus improvement policies, such as bus lanes and faster boarding techniques, can effectively prevent the adverse effects of car-hailing on network speed. These findings demonstrate the importance of managing kerbside space in a range of scenarios and offer valuable insights to authorities and researchers for policy-making and modelling.
{"title":"The battle for kerbside space: An evaluation of the competition between car-hailing and bus services","authors":"Tianli Tang , Ronghui Liu , Greg Marsden , Ziyuan Gu , Xiao Fu","doi":"10.1016/j.tra.2025.104392","DOIUrl":"10.1016/j.tra.2025.104392","url":null,"abstract":"<div><div>The kerbside of today is a complex environment with a huge diversity of uses and highly dynamic patterns of use, including for parking, (un)loading, EV charging, and bus stops. The competition for kerbside space is to become more fierce with the rising of car-hailing services (CHS) and soon the connected and autonomous vehicles (CAVs). The kerbside is an often overlooked yet critical urban infrastructure which requires better understanding of its varies uses and functions. In this paper, we examine the competition between CHSs and traditional buses on the use of kerbside lanes. More specifically, we investigate the relationship between the mode share of car-hailing and bus services, network congestion and the performance of bus priority strategies along a real-life bus corridor and quantify their effects through simulation modelling of a set of future scenarios. The results show that the increasing penetration of car-hailing services will negatively impact network performance due to the growing number of kerbside stops, while increasing the share of public transport can help mitigate this loss and improve network resilience. Additionally, bus improvement policies, such as bus lanes and faster boarding techniques, can effectively prevent the adverse effects of car-hailing on network speed. These findings demonstrate the importance of managing kerbside space in a range of scenarios and offer valuable insights to authorities and researchers for policy-making and modelling.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"192 ","pages":"Article 104392"},"PeriodicalIF":6.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143146053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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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