Search results

This paper aims to present a model to survey if effective destination management can manage (unsustainable) overtourism from the perspective of residents’ quality of life (QOL).

A constructivist approach, based on factors taken from conceptual overtourism model (Mihalic, 2020), was used to propose an overtourism QOL management model. Relationships among the factors were analysed with a path analyses model with two second-order latent factors. The model was tested in a real setting, the city of Ljubljana.

The proposed theoretical model is comprised of five factors: positive tourism impacts, negative tourism impacts, irritation with overtourism, residents’ QOL and destination management. Empirical tests confirmed the model. Positive tourism impacts positively affected residents’ QOL via destination management. Negative tourism impacts created overtourism-based resident irritation and negatively impacted their QOL.

The model was limited to one group of sustainable tourism stakeholders: residents of a destination. The sustainability performance of tourism was only assessed based on residents’ QOL.

The proposed model adds to the conceptual knowledge of tourism and may be useful for (sustainable) destination managers to monitor the existence and causes of overtourism and may help to focus efforts to manage the causes of overtourism irritation and improve residents’ QOL.

Overtourism is a concern for residents of tourism destinations who become irritated by unsustainable tourism impacts on community resources and their QOL. The suggested model is the first to address destination management’s ability to manage unsustainable overtourism.

本文采用建构主义的方法, 基于概念性的过度旅游模型（Mihalic, 2020年）中的因素, 提出了过度旅游中居民生活质量（QOL）管理模型。这些因子之间的关系是通过对包含两个二阶潜在因子的模型的路径分析得到的。该模型在卢布尔雅那市的真实情况中进行了测试。

本文提出了这样一个模型, 从居民的生活质量（QOL）角度出发, 调查有效的目的地管理是否可以管理（不可持续的）过度旅游。

理论模型由五部分组成：正面的旅游影响, 负面的旅游影响, 过度旅游带来的恼怒, 居民的生活质量和目的地管理。实证检验证实了该模型。积极的旅游业通过目的地管理对居民的生活质量产生了积极影响。负面的旅游影响造成了基于过度旅游的居民恼怒情绪, 并对其生活质量产生了负面影响。

该模型仅基于一个可持续的旅游业利益相关者：目的地居民。旅游业的可持续发展绩效仅根据居民的生活质量来评估。

社会和实际意义： 提出的模型增加了旅游的概念性知识, 并且可能有助于（可持续）目的地管理者监督过度旅游的存在和原因, 并且集中精力管理过度旅游引起的居民恼怒情绪, 并改善居民的生活质量。

对于旅游目的地的居民来说, 过度旅游是一个令人担忧的问题, 他们因不可持续的旅游业对社区资源及其生活质量的影响而感到不快。本模型是第一个解决目的地管理机构管理不可持续的过度旅游的能力的模型。

Para proponer un modelo de gestión del sobreturismo QOL, se utilizó un enfoque constructivista, basado en factores tomados del modelo conceptual de sobreturismo (Mihalic, 2020). Las relaciones entre los factores se analizaron con un modelo de análisis de rutas con dos factores latentes de segundo orden. El modelo se probó en un escenario real, la ciudad de Ljubljana.

En este documento se presenta un modelo para estudiar si una gestión eficaz del destino puede gestionar el exceso de turismo (insostenible) desde la perspectiva de la calidad de vida de los residentes (QOL).

El modelo teórico propuesto comprende cinco factores: impactos positivos del turismo, impactos negativos del turismo, irritación por el exceso de turismo, calidad de vida de los residentes y gestión del destino. Las pruebas empíricas confirmaron el modelo. Los impactos positivos del turismo afectaron positivamente la calidad de vida de los residentes a través de la gestión del destino. Los impactos negativos del turismo crearon una irritación de los residentes basada en el exceso de turismo y tuvieron un impacto negativo en su calidad de vida.

El modelo se limitaba a un grupo de interesados en el turismo sostenible: los residentes de un destino. El desempeño de la sostenibilidad del turismo sólo se evaluó en base a la calidad de vida de los residentes.

Implicaciones sociales y prácticas: El modelo propuesto contribuye al conocimiento conceptual del turismo y puede ser útil para que los gestores de destinos (sostenibles) vigilen la existencia y las causas del exceso de turismo y pueda ayudar a centrar los esfuerzos en la gestión de las causas de la irritación del exceso de turismo y mejorar la calidad de vida de los residentes.

El exceso de turismo es una preocupación para los residentes de los destinos turísticos que se irritan por los impactos insostenibles del turismo en los recursos de la comunidad y su QOL. El modelo sugerido es el primero que aborda la capacidad de la gestión del destino para gestionar el sobreturismo insostenible.

The literature review aims to facilitate a broader understanding of on-demand service platform operations management and proposes potential research directions for scholars.

This study searches four databases for relevant literature on on-demand service platform operations management and selects 72 papers for this review. According to the research context, the literature can be divided into research on “a single platform” and research on “multiple platforms”. According to the research methods, the literature can be classified into “Mathematical Models”, “Empirical Studies”, “Multiple Methods” and “Literature Review”. Through comparative analysis, we identify research gaps and propose five future research agendas.

This paper proposes five research agendas for future research on on-demand service platform operations management. First, research can be done to combine classic research problems in the field of operations management with platform characteristics. Second, both the dynamic and steady-state issues of on-demand service platforms can be further explored. Third, research employing mathematical models and empirical analysis simultaneously can be more fruitful. Fourth, more research efforts on the various interactions among two or more platforms can be pursued. Last but not least, it is worthwhile to examine new models and paths that have emerged during the latest development of the platform economy.

Through categorizing the literature into two research contexts as well as classifying it according to four research methods, this article clearly shows the research progresses made so far in on-demand service platform operations management and provides future research directions.

Recent studies on commuter parking in an age of fully autonomous vehicles (FAVs) suggest, that the number of parking spaces close to the workplace demanded by commuters will decline because of the capability of FAVs to return home, to seek out (free) parking elsewhere or just cruise. This would be good news because, as of today, parking is one of the largest consumers of urban land and is associated with substantial costs to society. None of the studies, however, is concerned with the special case of employer-provided parking, although workplace parking is a widespread phenomenon and, in many instances, the dominant form of commuter parking. The purpose of this paper is to analyze whether commuter parking will decline with the advent of self-driving cars when parking is provided by the employer.

This study looks at commuter parking from the perspective of both the employer and the employee because in the case of employer-provided parking, the firm’s decision to offer a parking space and the incentive of employees to accept that offer are closely interrelated because of the fringe benefit character of workplace parking. This study develops an economic equilibrium model that explicitly maps the employer–employee relationship, considering the treatment of parking provision and parking policy in the income tax code and accounting for adverse effects from commuting, parking and public transit. This study determines the market level of employer-provided parking in the absence and presence of FAVs and identifies the factors that drive the difference. This study then approximates the magnitude of each factor, relying on recent (first) empirical evidence on the impacts of FAVs.

This paper’s analysis suggests that as long as distortive (tax) policy favors employer-provided parking, FAVs are no guarantee to end up with less commuter parking.

This study’s findings imply that in a world of self-driving cars, policy intervention related to work commuting (e.g. fringe benefit taxation or transport pricing) might be even more warranted than today.

By observing facts of the “reversal of agglomeration” of Chinese enterprises during the period of rapid Internet development and using a new economic geography model combined with the data of the real estate sector, this paper deduces the influence of the “reshaping mechanisms” of the Internet on China's economic geography based on the “gravitation mechanism” of the Internet that affects the enterprises and the “amplification mechanism” of the Internet that amplifies the dispersion force of house prices.

In the empirical aspect, the dynamic spatial panel data model is used to test the micromechanisms of the impact of the Internet on enterprises' choice of location and the instrumental variable method is used to verify the macro effects of the Internet in reshaping economic geography.

It is found that in the era of the network economy, the Internet has become a source of regional competitive advantage and is extremely attractive to enterprises. The rapidly rising house price has greatly increased the congestion cost and has become the force behind the dispersion of enterprises. China's infrastructure miracle has closed the access gap which gives full play to network externalities and promotes the movement of enterprises from areas with high house prices to areas with low house prices.

The Internet is amplifying the dispersion force of congestion costs manifested as house prices and is reshaping China's economic geography. This paper further proposes policy suggestions such as taking the Internet economy as the new momentum of China's economic development and implementing the strategy of regional coordinated development.

The expected benefits of newly developed transportation infrastructures are the saving of travel time and further promoted transport economics. There is a need for a methodology of travel time estimation with acceptable robustness and practicability. Macroscopic fundamental diagram (MFD) represents the overall traffic performance at a network level by linking average flow, speed and density. MFD can be used to estimate network state and to describe various traffic management strategies. This study aims to describe the effect of new infrastructure development on the network performance using the MFD framework.

The scenarios of Islamabad Road network before and after the infrastructure construction were simulated, in which the floating car data set (FCD) for multiple modes was extracted. MFD has been formed for the whole region and partitioned region, which was divided on the basis of infrastructural changes. Moreover, this study has been extended to calculate travel time for multiple modes using the MFD results and the Bureau of Public Roads (BPR) function at a neighborhood level.

MFD results for the whole network showed that the speed of traffic improves after the construction of new infrastructure. The travel time estimates using MFD results were dependent on the speed estimates, whereas the estimates obtained using the BPR function were found to be dependent on the traffic volume variation during different intervals of the day. By using the FCD for multiple modes, travel time estimates for multiple modes were obtained. The BPR function method was found valid for estimating travel time of traffic stream only.

This paper innovatively investigates the change in network performance for pre-construction and post-construction scenarios using the MFD framework. In practice, the approach presented can be used by transportation agencies to evaluate the effect of different traffic management strategies and infrastructural changes.

The transportation system in any city is complex and evolving, shaped by various driving forces and uncertainties in the social, economic, technological, political and environmental situations. Its development and demands upon it cannot be projected by simply extrapolating past and current trends. This paper aims to present a foresight study examining the future of urban mobility, focusing on the dense Asian city-state of Singapore. The objective is to develop scenarios for the future of urban mobility, to facilitate future policy implementation by highlighting long term challenges and opportunities for transportation planning in cities.

To create future scenarios, the authors first sought to identify key drivers of change through environmental scanning, expert interviews, focus group discussions and technology scanning. These drivers of change were subsequently used in a scenario planning workshop, organized to co-create alternative future visions for urban mobility 2040 with experts and local stakeholders.

Two scenarios emerged, called the Shared World and the Virtual World. For each scenario, the authors described the key features in terms of dominant transport modes for the movements of passengers and freight. Subsequently, the authors discussed possible implications of each scenario to the individual, society, industry and government.

As cities grow and develop, city and transport planners should not only address daily operational issues but also develop a well-informed, long-term understanding of the evolving mobility system to address challenges that lie beyond the five- or even ten-year horizon. By using scenario planning approach, the authors hope to prepare stakeholders for the uncertain futures that are continuously shaped by the decisions today.

The purpose of this paper is to investigate empirically how information and communication technologies (ICT) can contribute to reduction of CO₂ emissions in road freight transport and to identify opportunities for further improvements.

This research adopts a multiple case study approach with three leading UK grocery retailers as exemplars of fast-moving consumer goods retailers, conducted using multiple data collection techniques including interviews, system demonstrations, onsite observations and the use of archive information.

ICT solutions have a direct positive impact on CO₂ emissions reduction but opportunities to further reduce CO₂ emissions are perceived as lying beyond retailers’ own distribution networks. These opportunities are not fully utilised due to the complexities of collaborative ICT provisions and retailers’ reluctance to share information with competitors.

A limitation of the study is that it is exploratory and only three cases were examined. Even though these three retailers represent over 60 per cent of the UK grocery retail sector, other retailers may deploy significantly different ICT applications.

The research provides an overarching insight for businesses on how to leverage the existing and emerging information technologies for environmental and economic benefits.

While sustainability issues have received increasing attention recently, the role of ICT in freight transport for CO₂ emissions reduction has not been investigated in depth and its impact is largely unknown. This research advances understanding about how ICT contributes CO₂ emissions reductions and provides a framework for further investigation.

Resilience concepts in integrated urban transport refer to the performance of dealing with external shock and the ability to continue to provide transportation services of all modes. A robust transportation resilience is a goal in pursuing transportation sustainability. Under this specified context, while before the perturbations, robustness refers to the degree of the system’s capability of functioning according to its design specifications on integrated modes and routes, redundancy is the degree of duplication of traffic routes and alternative modes to maintain persistency of service in case of perturbations. While after the perturbations, resourcefulness refers to the capacity to identify operational problems in the system, prioritize interventions and mobilize necessary material/ human resources to recover all the routes and modes, rapidity is the speed of complete recovery of all modes and traffic routes in the urban area. These “4R” are the most critical components of urban integrated resilience.

The trends of transportation resilience's connotation, metrics and strategies are summarized from the literature. A framework is introduced on both qualitative characteristics and quantitative metrics of transportation resilience. Using both model-based and mode-free methodologies that measure resilience in attributes, topology and system performance provides a benchmark for evaluating the mechanism of resilience changes during the perturbation. Correspondingly, different pre-perturbation and post-perturbation strategies for enhancing resilience under multi-mode scenarios are reviewed and summarized.

Cyber-physic transportation system (CPS) is a more targeted solution to resilience issues in transportation. A well-designed CPS can be applied to improve transport resilience facing different perturbations. The CPS ensures the independence and integrity of every child element within each functional zone while reacting rapidly.

This paper provides a more comprehensive understanding of transportation resilience in terms of integrated urban transport. The fundamental characteristics and strategies for resilience are summarized and elaborated. As little research has shed light on the resilience concepts in integrated urban transport, the findings from this paper point out the development trend of a resilient transportation system for digital and data-driven management.

This paper presents a generic framework on port logistics development and its interaction with hinterland regions. Although earlier work on the topic (e.g. by Ferrari et al., 2006; Kuipers and Eenhuizen, 2004) offers valuable insights in the subject, it contains limitations in geographical applicability. Ports indeed face dissimilarities in, for instance, locational characteristics (a.o. distance from the sea and nautical accessibility) and hinterland connections. Only when a model for determining seaport-located logistics activities takes into account these issues of dissimilarity among ports, the framework could be applied to a variety of seaport ranges worldwide. In this paper we aim to provide a first version of such a framework. More particularly, by means of a survey conducted in the Port of Busan the shortcomings of traditional approaches are illustrated. We then propose a more encompassing model, which seems to explain fairly well the attractiveness of Busan in terms of logistics activities. This framework explicitly adds port and hinterland characteristics to the list of factors decisive in the choice of the location of logistics activities. Finally, we would like to remark that our research on this topic is still ongoing and results for surveys planned in New York and Antwerp will be reported in a later stage.

More and more work zone projects come with the needs of new construction and regular maintenance-related investments in transportation. Work zone projects can have many significant impacts socially, economically and environmentally. Minimizing the total impacts of work zone projects by optimizing relevant schedules is extremely important. This study aims to analyze the impacts of scheduling long-term work zone activities.

Optimal scheduling of the starting dates of each work zone project is determined by developing and solving using a bi-level genetic algorithm (GA)–based optimization model. The upper level sub-model is to minimize the total travel delay caused by work zone projects over the entire planning horizon, whereas the lower level sub-model is a traffic assignment problem under user equilibrium condition with elastic demand.

Sioux Falls network is used to develop and test the proposed GA-based model. The average and minimum total travel delays (TTDs) over generations of the proposed GA algorithm decrease very rapidly during the first 20 generations of the GA algorithm; after the 20th generations, the solutions gradually level off with a certain level of variations in the average TTD, showing the capability of the proposed method of solving the multiple work zone starting date optimization problem.

The proposed model can effectively identify the near-optimal solution to the long-term work zone scheduling problem with elastic demand. Sensitivity analysis of the impact of the elastic demand parameter is also conducted to show the importance of considering the impact of elastic demand parameter.