Transportation Research Part A-Policy and Practice最新文献_第3页

Estimating the potential for dynamic parking reservation systems to increase delivery vehicle accommodation

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part A-Policy and Practice

Pub Date : 2025-02-05 DOI: 10.1016/j.tra.2025.104380

Aaron Burns , Connor R. Forsythe , Jeremy J. Michalek , Kate Whitefoot

We estimate the potential for a dynamically managed parking reservation system to increase the accommodation of real-time delivery demand by implementing a sliding time window mixed integer linear programming parking slot assignment formulation. Through our research, we reveal key trade-offs in the performance of a dynamic reservation system based on the lead time of a parking request from submission to requested arrival time, flexibility in the requested arrival time, and arrival time uncertainty. Comparing results across a range of scenarios, we find that a reservation system in our representative case can either increase parking accommodation by up to 330 h per space per year or reduce parking accommodation by up to 130 h per space per year, relative to first-come first-serve. Reservation systems tend to increase parking accommodation most when drivers have flexible but reliable arrival times, requests are made in advance, and demand is low or moderate. Reservation systems can especially reduce parking accommodation when unoccupied buffer periods between reservations are used to guarantee reservations due to uncertainty in arrival and departure times. Our results suggest that the application of dynamic curb reservation systems may be most appropriate for targeted applications where drivers have flexible but reliable arrival times.

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引用次数: 0

Exploring the relationship between perceived bikeability and gender-inclusive micromobility usage: A study across 53 French cities

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part A-Policy and Practice

Pub Date : 2025-02-05 DOI: 10.1016/j.tra.2025.104379

Dylan Moinse

As the utilization of micromobility continues to experience growth and diversification, while simultaneously gaining recognition as an environmentally-friendly mode of transportation, it remains predominantly male-dominated. Recent scientific literature has highlighted the importance of inclusive strategies, demonstrating a strong correlation between the gender gap in cycling participation and the overall cycling levels within a given area. This indirect relationship necessitates identifying the factors that promote gender-inclusive bicycle usage. Focusing on the French context, the key objectives of this empirical research are (i) measuring gender inequalities in the use of bike and emerging micromobility at the municipal level, (ii) assessing the influence of built environment and urban design on the gendered modal share of cyclists, and (iii) comparing and clustering the investigated French cities with the development of an index that takes into account gender equity, the modal share of cycling, and the perceived bikeability. By drawing from two distinct databases based on the use of micromobility and the subjective bikeability of cities and by conducting quantitative observations, this original study sheds light on the significant connection between gender-balanced cycling distribution, cycling modal share, cycling infrastructure presence and perceived bikeability. This paper concludes that encouraging women to embrace cycling is not solely dependent on achieving a critical mass of cyclists or building cycling lanes. Instead, it emphasizes the need for the development of a comprehensive ’bicycle system’ that takes into account all aspects of bikeability. This innovative outcome leads to the categorization of examined cities based on the development of a gender-inclusive with cycling quality index. This exploration underscores the vital role of urban planning and offers recommendations for stakeholders regarding future policy initiatives.

{"title":"Exploring the relationship between perceived bikeability and gender-inclusive micromobility usage: A study across 53 French cities","authors":"Dylan Moinse","doi":"10.1016/j.tra.2025.104379","DOIUrl":"10.1016/j.tra.2025.104379","url":null,"abstract":"<div><div>As the utilization of micromobility continues to experience growth and diversification, while simultaneously gaining recognition as an environmentally-friendly mode of transportation, it remains predominantly male-dominated. Recent scientific literature has highlighted the importance of inclusive strategies, demonstrating a strong correlation between the gender gap in cycling participation and the overall cycling levels within a given area. This indirect relationship necessitates identifying the factors that promote gender-inclusive bicycle usage. Focusing on the French context, the key objectives of this empirical research are (i) measuring gender inequalities in the use of bike and emerging micromobility at the municipal level, (ii) assessing the influence of built environment and urban design on the gendered modal share of cyclists, and (iii) comparing and clustering the investigated French cities with the development of an index that takes into account gender equity, the modal share of cycling, and the perceived bikeability. By drawing from two distinct databases based on the use of micromobility and the subjective bikeability of cities and by conducting quantitative observations, this original study sheds light on the significant connection between gender-balanced cycling distribution, cycling modal share, cycling infrastructure presence and perceived bikeability. This paper concludes that encouraging women to embrace cycling is not solely dependent on achieving a critical mass of cyclists or building cycling lanes. Instead, it emphasizes the need for the development of a comprehensive ’bicycle system’ that takes into account all aspects of bikeability. This innovative outcome leads to the categorization of examined cities based on the development of a gender-inclusive with cycling quality index. This exploration underscores the vital role of urban planning and offers recommendations for stakeholders regarding future policy initiatives.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"193 ","pages":"Article 104379"},"PeriodicalIF":6.3,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143259789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

On allowing endogenous minimum consumption bounds in the multiple discrete continuous choice model: An application to expenditure patterns

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part A-Policy and Practice

Pub Date : 2025-02-03 DOI: 10.1016/j.tra.2025.104393

Andrea Pellegrini, John Matthew Rose

In this study, we develop a novel econometric framework that allows for endogenously estimating minimum goods amounts, and their subsequent impact on individuals’ multiple discrete/continuous consumption choices. To do so, we pair a censored Tobit model (Tobin, 1958) with a Multiple Discrete Continuous Extreme Value (MDCEV) model (Bhat, 2005, Bhat, 2008), with the former being employed to identify lower bounds on consumptions based upon the demographic characteristics of decision-makers. The model proposed is applied to a web-based survey designed to examine monthly expenditure decisions for the following categories: entertainment, household bills, miscellaneous costs, rent/mortgage payments, shopping, transport, childcare and other unspecified expenditure. In addition to providing information on actual expenses, recruited respondents were also asked to indicate the minimum expenditure amount they could potentially spend on the designated expenditure categories. The estimated findings suggest that allowing endogenous minimum consumption amounts within the MDCEV model results in a better understanding of the determinants driving individuals’ expenditure behaviour, whilst also providing more accurate prediction both within and out of sample.

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引用次数: 0

Perceived accessibility by air transportation: A focus group study of potential air travelers in The Netherlands

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part A-Policy and Practice

Pub Date : 2025-02-03 DOI: 10.1016/j.tra.2025.104394

Sihyun Yoo, Ruben Beumer, Bert van Wee, Niek Mouter, Eric Molin

This study explores perceived accessibility specific to air transportation in the Dutch context through a focus group study. Five focus group sessions were held with a total of 24 participants with air travel experience within the past five years. Online focus groups were held during the period that the COVID-19 pandemic travel restrictions were in effect, specifically around 12 months after the travel restrictions were implemented globally. In terms of the importance of activities accessible by flight, we observe that travelers particularly attach importance to visiting family and relatives, while the importance attached to the business and recreational activities accessible by flight varies among participants. As far as the transport component of accessibility is concerned, we find that, in addition to conventional variables in air transportation research, such as cost and travel times, unconventional variables such as uncertainty during flight schedule disruptions or the mood of staff and other passengers contribute to perceived accessibility by air transportation. Based on the results, we further discuss characteristics specific to perceived accessibility by air transportation, directions for further qualitative and quantitative research regarding perceived accessibility by air transportation, and implications for policy and planning.

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引用次数: 0

Subjectivity matters: Investigating the relationship between perceived accessibility and travel behaviour

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part A-Policy and Practice

Pub Date : 2025-02-03 DOI: 10.1016/j.tra.2025.104399

Hisham Negm , Ahmed El-Geneidy

Accessibility, the ease of reaching destinations, encompass local and regional metrics used to evaluate the performance of the land use and transport systems in a region. These measures are known to impact individuals’ travel behaviour, which led to their adoption in practice as performance indicators to evaluate transport projects and plans, monitor progress towards equity goals, and evaluate changes induced by various policies. However, calculated measures of accessibility do not account for individuals’ experiences and perceptions, which play a pivotal role in travel behaviour. This research examines the relationship between travel behaviour and perceived accessibility, while accounting for calculated accessibility, residential selection, travel identity, and individual characteristics. Using data from a large-scale bilingual online survey administered in Montreal, Canada in Fall 2023 (N = 5,277), we perform statistical analyses at both local and regional levels to model weekly mode shares for walking and public transit, respectively. Calculated accessibility is accounted for locally using Walk Score® and regionally using cumulative opportunities accessibility measures by public transit. Our findings reveal that perceived accessibility by walking and public transit positively impact the weekly walking and transit mode share, respectively, for all purposes. Accounting for calculated accessibility and travel identity is important to avoid overestimating the influence of perceived accessibility on travel behaviour. This research provides transport professionals a nuanced understanding of the link between accessibility (perceived and calculated) and travel behaviour, offering insights for promoting the use of sustainable travel modes.

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引用次数: 0

Why are fairness concerns so important? Lessons from a last-mile transportation system

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part A-Policy and Practice

Pub Date : 2025-02-01 DOI: 10.1016/j.tra.2024.104361

Yiwei Chen , Hai Wang

The Last-Mile Problem refers to the provision of travel service for passengers from the nearest public transportation node to the final destination. The Last-Mile Transportation System (LMTS), which has recently emerged, provides on-demand last-mile transportation service for passengers. We consider an LMTS that consists of two types of passengers, regular-type passengers and special-type passengers (e.g., seniors, disabled people). The valuation of the last-mile service for special-type passengers is statistically higher than the one for regular-type passengers. Passengers incur disutility from waiting for the last-mile service. In this paper, we explore two fairness constraints on special-type passengers: (1) the fare for special-type passengers is restricted to be no higher than a given fraction of the fare for regular-type passengers; (2) special-type passengers cannot be served after regular-type passengers. We aim at understanding the role of these two fairness constraints on the LMTS operator’s pricing and service priority policies, with the objective of maximizing either profit or social welfare. Our theoretical analysis and numerical experiments using real public transport data show that if passenger waiting disutility is negatively correlated with the last-mile service valuation, i.e., regular-type passengers are more sensitive to waiting time, then the LMTS operator always has incentive to charge special-type passengers more than regular-type passengers, and serve regular-type passengers first. This entails the necessity of enforcing the two fairness constraints. In addition, even if passenger waiting disutility is positively correlated with the last-mile service valuation, i.e., special-type passengers are more sensitive to waiting time, the two fairness constraints are still necessary under some market environments. These findings demonstrate the importance of fairness concerns in on-demand transportation systems.

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引用次数: 0

Heterogeneous radial commuting bottlenecks with agglomeration economies: Methods and calibration for Bogotá

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part A-Policy and Practice

Pub Date : 2025-02-01 DOI: 10.1016/j.tra.2024.104331

Hans Dyckerhoff, Daniel Hörcher, Daniel J. Graham

This model combines heterogeneous commuting bottlenecks on radial corridors in a monocentric city with agglomeration economies. Demand and the available bottleneck capacity differ between the corridors and commuting costs vary according to an OD-specific Vickrey congestion technology. Even though the bottlenecks are heterogeneous and isolated, the commuting markets are interlinked because the activity value at the trip end is determined by the impact of city-wide urbanisation economies on wages. This spatial setup sheds light on a novel aspect of offsetting congestion and agglomeration externalities and allows simulating the geographic disparities and conflicting interests common in many cities, without a significant increase in complexity. The set of equations resulting from this setup have only numerical solutions and are calibrated in an illustrative example using data for Bogotá, Colombia. Spatial heterogeneity allows observing how city-wide agglomeration benefits and local congestion costs interact to reveal zonal preferences for toll setting and the efficiency gains from aggregate welfare maximisation. We identify a trade-off between policy objectives of welfare and access to jobs, frictions between local and city-wide interests, and that the pricing policy on one corridor affects all others. Due to (positive) agglomeration externalities, the optimal time-dependent toll turns into a commuting subsidy in peak shoulders.

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引用次数: 0

Analysing the role of traffic volume as mediator in transport policy evaluation with causal mediation analysis and targeted learning

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part A-Policy and Practice

Pub Date : 2025-02-01 DOI: 10.1016/j.tra.2024.104369

Yingheng Zhang , Haojie Li , Gang Ren

Traffic volume has often been analysed as the outcome of interest in transport policy evaluation. However, its role as mediator lying in the causal pathways between policies and other outcomes has rarely been explored. We investigate this issue by using a targeted learning-based causal mediation analysis approach. Compared to the traditional approach that has been used in transport research, namely the Baron-Kenny multiple-regression approach, the causal one incorporating potential outcomes has clearer causal definitions and interpretations. Also, targeted learning has higher functional flexibility by enabling the use of supervised learning algorithms. Simulations indicate that targeted learning outperforms the traditional approach in complex settings with nonlinearities and interactions. We present an empirical example, quantifying the direct effect of the London Cycle Superhighways (LCS) on traffic speed, and the indirect effect via traffic volume as mediator. Our results indicate that the installation of LCS has reduced motor traffic along the routes. The average causal effect on annual average daily traffic (AADT) relative to the AADT in the pre-intervention period is − 9.2 %. Regarding the direct and indirect effects, we find that LCS has a negative direct effect on traffic speed, which might be due to less space available for motor vehicles, while LCS can increase traffic speed via reducing the amount of motor traffic. The direct effect on traffic speed relative to the speed in the pre-intervention period is − 2.0 %, whereas the indirect effect is + 1.3 %. As a result, the total causal effect on speed is small.

{"title":"Analysing the role of traffic volume as mediator in transport policy evaluation with causal mediation analysis and targeted learning","authors":"Yingheng Zhang , Haojie Li , Gang Ren","doi":"10.1016/j.tra.2024.104369","DOIUrl":"10.1016/j.tra.2024.104369","url":null,"abstract":"<div><div>Traffic volume has often been analysed as the outcome of interest in transport policy evaluation. However, its role as mediator lying in the causal pathways between policies and other outcomes has rarely been explored. We investigate this issue by using a targeted learning-based causal mediation analysis approach. Compared to the traditional approach that has been used in transport research, namely the Baron-Kenny multiple-regression approach, the causal one incorporating potential outcomes has clearer causal definitions and interpretations. Also, targeted learning has higher functional flexibility by enabling the use of supervised learning algorithms. Simulations indicate that targeted learning outperforms the traditional approach in complex settings with nonlinearities and interactions. We present an empirical example, quantifying the direct effect of the London Cycle Superhighways (LCS) on traffic speed, and the indirect effect via traffic volume as mediator. Our results indicate that the installation of LCS has reduced motor traffic along the routes. The average causal effect on annual average daily traffic (AADT) relative to the AADT in the pre-intervention period is − 9.2 %. Regarding the direct and indirect effects, we find that LCS has a negative direct effect on traffic speed, which might be due to less space available for motor vehicles, while LCS can increase traffic speed via reducing the amount of motor traffic. The direct effect on traffic speed relative to the speed in the pre-intervention period is − 2.0 %, whereas the indirect effect is + 1.3 %. As a result, the total causal effect on speed is small.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"192 ","pages":"Article 104369"},"PeriodicalIF":6.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143146593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel approach to study the role of social networks in planning joint leisure activities

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part A-Policy and Practice

Pub Date : 2025-02-01 DOI: 10.1016/j.tra.2024.104371

Zhuhan Jin , Prateek Bansal , Kay Axhausen

Incorporating social activities in activity-based models is inherently complex due to their diverse nature and the intricacies involved in social coordination. Traditional stated preference surveys also face challenges in capturing the nuanced negotiation processes among group members while planning the location and timing of these activities. To address these challenges, we design a novel street-intercept survey with a series of stated choice experiments to examine how the individual’s preferences for social activity location are affected by knowing the friend’s preferences and mobility inconveniences. We show the application of the approach to investigate the social dining preferences of a pair of friends in Singapore. Our findings indicate that social network attributes (such as the duration of social relationships) and sociodemographic characteristics (like the gender of friends) substantially influence the weight given to a friend’s preferences and convenience when selecting a location for joint dining activities. The method is adaptable to modeling other social activities and various activity dimensions (e.g., start time and duration).

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引用次数: 0

Optimal parking allocation for heterogeneous vehicle types

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part A-Policy and Practice

Pub Date : 2025-02-01 DOI: 10.1016/j.tra.2024.104357

Abdelrahman Ismael , José Holguín-Veras

Parking problems have been inflicting significant negative impacts on the economy. Drivers, in the United States, pay a staggering amount of almost $96 billion annually for parking-related issues, with cruising for parking being the most expensive component at around $73 billion. Additionally, businesses suffer major losses due to limited parking availability, with 39% of U.S. drivers avoiding shopping destinations and 29% avoiding sports and leisure activities because of parking limitations. These issues are primarily caused by a lack of information about parking occupancy and limited parking supply. This lack of information results in drivers cruising for parking, which accounts for 30 % of traffic in some cities. To address these problems, this research proposes an optimization model that allocates arriving individual vehicles with heterogeneous characteristics to specific on-street or off-street parking spaces. The model seeks to reach a system optimal solution by reducing private costs, congestion, emissions, and mitigating cruising. The model utilizes inputs such as vehicle and driver attributes, parking duration, and value of time (VOT) along with information about the network and current parking occupancy to optimize the allocation decisions. This model can be incorporated into a system maintained by cities to assign parking within smart cities and to optimally divide curbside parking by vehicle type and time of day. The results show that vehicles with higher VOTs should be closer to their destination compared with relatively lower VOT vehicles. The results of the model also show that parking systems do not break once demand exceeds supply, rather the critical state of the system is controlled by multiple factors, e.g., demand, vehicle types, parking duration. Hence, the model can provide useful insights by studying scenarios of parking systems breakdown which can be targeted through policy interventions.

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引用次数: 0