As cities have grown more dispersed and auto-oriented, demand for travel has become increasingly difficult to meet via public transit. Public transit ridership, particularly bus ridership, has recently been on the decline in many urban areas in Canada and the United States, and many agencies have either undergone or are planning comprehensive bus network redesigns in response. While comprehensive bus network redesigns are not novel to public transit, network redesigns are commonly being considered in cities to optimize operational costs and reverse downward trends in transit ridership. For cities considering a comprehensive bus network redesign, there is currently no comprehensive easy-to-follow planning process available to guide cities through such a major undertaking. In light of that, this study presents a methodology to guide transport professionals through the planning process of a bus network redesign, using Longueuil, Quebec, as a case study. Currently, Longueuil operates a door-to-door network, and the goal is to move to a transfer-based, high-frequency service while keeping the existing number of buses constant. A variety of data sources that capture regional travel behavior and network performance are overlaid using a GIS-based grid-cell model to identify priority bus corridors. A series of analyses to measure and quantify anticipated and actual improvements from the proposed bus network redesign are conducted, including coverage analysis, change in accessibility to jobs, and travel time analysis. Accessibility to jobs was the key performance measure used in this analysis and is presented as a useful tool for planners and transit agencies to obtain buy-in for the proposed plan. This methodology provides transport professionals with a flexible and reproducible guide to consider when conducting a bus network redesign, while ensuring that such a network overhaul maximizes the number of opportunities that residents can access by transit and does not add an additional burden to an agency’s operating budget.
{"title":"Planning a high-frequency transfer-based bus network: How do we get there?","authors":"Emily Grisé, Anson F. Stewart, A. El-geneidy","doi":"10.5198/jtlu.2021.1742","DOIUrl":"https://doi.org/10.5198/jtlu.2021.1742","url":null,"abstract":"As cities have grown more dispersed and auto-oriented, demand for travel has become increasingly difficult to meet via public transit. Public transit ridership, particularly bus ridership, has recently been on the decline in many urban areas in Canada and the United States, and many agencies have either undergone or are planning comprehensive bus network redesigns in response. While comprehensive bus network redesigns are not novel to public transit, network redesigns are commonly being considered in cities to optimize operational costs and reverse downward trends in transit ridership. For cities considering a comprehensive bus network redesign, there is currently no comprehensive easy-to-follow planning process available to guide cities through such a major undertaking. In light of that, this study presents a methodology to guide transport professionals through the planning process of a bus network redesign, using Longueuil, Quebec, as a case study. Currently, Longueuil operates a door-to-door network, and the goal is to move to a transfer-based, high-frequency service while keeping the existing number of buses constant. A variety of data sources that capture regional travel behavior and network performance are overlaid using a GIS-based grid-cell model to identify priority bus corridors. A series of analyses to measure and quantify anticipated and actual improvements from the proposed bus network redesign are conducted, including coverage analysis, change in accessibility to jobs, and travel time analysis. Accessibility to jobs was the key performance measure used in this analysis and is presented as a useful tool for planners and transit agencies to obtain buy-in for the proposed plan. This methodology provides transport professionals with a flexible and reproducible guide to consider when conducting a bus network redesign, while ensuring that such a network overhaul maximizes the number of opportunities that residents can access by transit and does not add an additional burden to an agency’s operating budget.","PeriodicalId":47271,"journal":{"name":"Journal of Transport and Land Use","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2021-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43909448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Using an integrated land use and travel model system implemented for the Puget Sound region in Washington state, a Bayesian Melding technique is applied to represent variations in land use outcomes, and is propagated into travel choices across a multi-year agent-based simulation. A scenario is considered where zoned capacity is increased around light rail stations. Samples are drawn from the posterior distribution of households to generate travel model inputs. They allow for propagation of land use uncertainty into travel choices, which are themselves assessed for uncertainty by comparing against observed data. Resulting travel measures of zonal vehicle miles traveled (VMT) per capita and light rail station boardings indicate the importance of comparing distributions rather than point forecasts. Results suggest decreased VMT per capita in zones near light rail stations and increased boardings at certain stations with existing development, and less significant impacts around stations with lower initial development capacity. In many cases, individual point level comparisons of scenarios would lead to very different conclusions. Altogether, this finding adds to a line of work demonstrating the policy value of incorporating uncertainty in integrated models and provides a method for assessing these variations in a systematic way.
{"title":"Land use uncertainty in transportation forecast","authors":"H. Ševčíková, Brice G. Nichols","doi":"10.5198/JTLU.2021.1853","DOIUrl":"https://doi.org/10.5198/JTLU.2021.1853","url":null,"abstract":"Using an integrated land use and travel model system implemented for the Puget Sound region in Washington state, a Bayesian Melding technique is applied to represent variations in land use outcomes, and is propagated into travel choices across a multi-year agent-based simulation. A scenario is considered where zoned capacity is increased around light rail stations. Samples are drawn from the posterior distribution of households to generate travel model inputs. They allow for propagation of land use uncertainty into travel choices, which are themselves assessed for uncertainty by comparing against observed data. Resulting travel measures of zonal vehicle miles traveled (VMT) per capita and light rail station boardings indicate the importance of comparing distributions rather than point forecasts. Results suggest decreased VMT per capita in zones near light rail stations and increased boardings at certain stations with existing development, and less significant impacts around stations with lower initial development capacity. In many cases, individual point level comparisons of scenarios would lead to very different conclusions. Altogether, this finding adds to a line of work demonstrating the policy value of incorporating uncertainty in integrated models and provides a method for assessing these variations in a systematic way.","PeriodicalId":47271,"journal":{"name":"Journal of Transport and Land Use","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2021-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48667936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Investments in light rail transit (LRT) have become increasingly popular solutions to promote sustainable urban transportation. However, their impacts on cities are still subject to discussion in the academic community. There is a clear need to better understand the potential impacts of LRT projects, particularly in contexts other than major cities. In this study, we focus on the Olsztyn tram project, which has been implemented in a city of 173,000 residents situated in northeastern Poland. The paper combines different perspectives and data sources, including a study of residents’ stated preferences concerning travel behavior and modelling of housing price effects using the difference-in-differences approach. Our results suggest that the Olsztyn tram project led to a moderate change in travel behavior by increasing the frequency of public transport use but did not result in a substantial shift away from car commuting. Concerning the property market, a decline in prices was observed during the construction phase, but no statistically significant effects were found after completion.
{"title":"Impacts of light rail in a mid-sized city: Evidence from Olsztyn, Poland","authors":"A. Radzimski, Jędrzej Gadziński","doi":"10.5198/JTLU.2021.1557","DOIUrl":"https://doi.org/10.5198/JTLU.2021.1557","url":null,"abstract":"Investments in light rail transit (LRT) have become increasingly popular solutions to promote sustainable urban transportation. However, their impacts on cities are still subject to discussion in the academic community. There is a clear need to better understand the potential impacts of LRT projects, particularly in contexts other than major cities. In this study, we focus on the Olsztyn tram project, which has been implemented in a city of 173,000 residents situated in northeastern Poland. The paper combines different perspectives and data sources, including a study of residents’ stated preferences concerning travel behavior and modelling of housing price effects using the difference-in-differences approach. Our results suggest that the Olsztyn tram project led to a moderate change in travel behavior by increasing the frequency of public transport use but did not result in a substantial shift away from car commuting. Concerning the property market, a decline in prices was observed during the construction phase, but no statistically significant effects were found after completion.","PeriodicalId":47271,"journal":{"name":"Journal of Transport and Land Use","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2021-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42816178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Eugeni Vidal Tortosa, Robert T. Lovelace, E. Heinen, R. Mann
Cycling can be particularly beneficial for socioeconomically disadvantaged populations. First, because it can allow them to access opportunities that by other modes they may not afford. Secondly, because it can increase their physical activity levels and, consequently, improve their health. We analyse the extent to which socioeconomic disadvantage impacts on cycling participation in England, for both leisure and utility cycling. Then, we explore the extent to which this impact could be explained by the environment in which disadvantaged populations live. The study population includes 167,178 individuals, residing in 2,931 areas, and 326 Local Authorities. Data on individual factors were drawn from the Active Lives Survey, and data on environmental factors from several sources. Descriptive statistics and multilevel logistic models were estimated. The likelihood of cycling is lower among people living in deprived areas than among people living in non-deprived areas. This difference is significant for leisure, but also for utility cycling when controlling for individual and environmental factors. The study also found that cycling infrastructure and greater levels of cyclability are higher in deprived areas than in non-deprived areas. This suggests that infrastructure and cyclability are not enough to increase cycling levels among disadvantaged populations. Further research on other barriers to cycling among disadvantaged populations is required.
{"title":"Infrastructure is not enough: Interactions between the environment, socioeconomic disadvantage, and cycling participation in England","authors":"Eugeni Vidal Tortosa, Robert T. Lovelace, E. Heinen, R. Mann","doi":"10.5198/JTLU.2021.1781","DOIUrl":"https://doi.org/10.5198/JTLU.2021.1781","url":null,"abstract":"Cycling can be particularly beneficial for socioeconomically disadvantaged populations. First, because it can allow them to access opportunities that by other modes they may not afford. Secondly, because it can increase their physical activity levels and, consequently, improve their health. We analyse the extent to which socioeconomic disadvantage impacts on cycling participation in England, for both leisure and utility cycling. Then, we explore the extent to which this impact could be explained by the environment in which disadvantaged populations live. The study population includes 167,178 individuals, residing in 2,931 areas, and 326 Local Authorities. Data on individual factors were drawn from the Active Lives Survey, and data on environmental factors from several sources. Descriptive statistics and multilevel logistic models were estimated. The likelihood of cycling is lower among people living in deprived areas than among people living in non-deprived areas. This difference is significant for leisure, but also for utility cycling when controlling for individual and environmental factors. The study also found that cycling infrastructure and greater levels of cyclability are higher in deprived areas than in non-deprived areas. This suggests that infrastructure and cyclability are not enough to increase cycling levels among disadvantaged populations. Further research on other barriers to cycling among disadvantaged populations is required.","PeriodicalId":47271,"journal":{"name":"Journal of Transport and Land Use","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44240621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dorothee Stiller, M. Wurm, Thomas Stark, P. d’Angelo, Karsten Stebner, S. Dech, H. Taubenböck
A significant increase in global urban population affects the efficiency of urban transportation systems. Remarkable urban growth rates are observed in developing or newly industrialized countries where researchers, planners, and authorities face scarcity of relevant official data or geo-data. In this study, we explore remote sensing and open geo-data as alternative sources to generate missing data for transportation models in urban planning and research. We propose a multi-modal approach capable of assessing three essential parameters of the urban spatial structure: buildings, land use, and intra-urban population distribution. Therefore, we first create a very high-resolution (VHR) 3D city model for estimating the building floors. Second, we add detailed land-use information retrieved from OpenStreetMap (OSM). Third, we test and evaluate five experiments to estimate population at a single building level. In our experimental set-up for the mega-city of Santiago de Chile, we find that the multi-modal approach allows generating missing data for transportation independently from official data for any area across the globe. Beyond that, we find the high-level 3D city model is the most accurate for determining population on small scales, and thus evaluate that the integration of land use is an inevitable step to obtain fine-scale intra-urban population distribution.
{"title":"Spatial parameters for transportation: A multi-modal approach for modelling the urban spatial structure using deep learning and remote sensing","authors":"Dorothee Stiller, M. Wurm, Thomas Stark, P. d’Angelo, Karsten Stebner, S. Dech, H. Taubenböck","doi":"10.5198/JTLU.2021.1855","DOIUrl":"https://doi.org/10.5198/JTLU.2021.1855","url":null,"abstract":"A significant increase in global urban population affects the efficiency of urban transportation systems. Remarkable urban growth rates are observed in developing or newly industrialized countries where researchers, planners, and authorities face scarcity of relevant official data or geo-data. In this study, we explore remote sensing and open geo-data as alternative sources to generate missing data for transportation models in urban planning and research. We propose a multi-modal approach capable of assessing three essential parameters of the urban spatial structure: buildings, land use, and intra-urban population distribution. Therefore, we first create a very high-resolution (VHR) 3D city model for estimating the building floors. Second, we add detailed land-use information retrieved from OpenStreetMap (OSM). Third, we test and evaluate five experiments to estimate population at a single building level. In our experimental set-up for the mega-city of Santiago de Chile, we find that the multi-modal approach allows generating missing data for transportation independently from official data for any area across the globe. Beyond that, we find the high-level 3D city model is the most accurate for determining population on small scales, and thus evaluate that the integration of land use is an inevitable step to obtain fine-scale intra-urban population distribution.","PeriodicalId":47271,"journal":{"name":"Journal of Transport and Land Use","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46491005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The walkability of a neighborhood is closely related to residents’ travel behavior and daily life and, ultimately, their health and wellbeing. Although existing studies in this area have reached some enlightening conclusions, few of them have considered residents’ travel attitudes and preferences, or the mediating role of commute mode. Do travel attitudes and preferences matter in the relationship between neighborhood walkability and residents being obese? How does commute mode work as a mediator? To answer these questions, based on the 2019 travel survey data in Guangzhou, this paper uses the Multilevel Linear Model (MLM) to examine the association between neighborhood walkability and residents’ body mass index (BMI). Furthermore, the Mediation Model is used to identify the mediating role of commute mode in the relationship between walkability and BMI. The results show that (1) travel attitudes and preferences do affect the individual’s BMI through the mediator of commute mode. (2) After controlling the individual socio-demographics and travel attitudes and preferences, neighborhood walkability has a significant negative effect on BMI. Meanwhile, walkability has a significant positive effect on the use of non-private motorized commute modes. Non-private motorized commute modes have a significant negative effect on BMI. (3) The mediating effect of commute mode in the relationship of neighborhood walkability with the individual’s BMI is significant. The proportion of mediation is 32.90%. Insights into the relationship between neighborhood walkability, commute mode, and individual BMI highlight the importance of walkable neighborhoods that encourage people to use healthy commute modes.
{"title":"How does neighborhood walkability affect obesity? The mediating role of commute mode","authors":"Wenyue Yang, Xin Zhen, Suhong Zhou","doi":"10.5198/jtlu.2021.1948","DOIUrl":"https://doi.org/10.5198/jtlu.2021.1948","url":null,"abstract":"The walkability of a neighborhood is closely related to residents’ travel behavior and daily life and, ultimately, their health and wellbeing. Although existing studies in this area have reached some enlightening conclusions, few of them have considered residents’ travel attitudes and preferences, or the mediating role of commute mode. Do travel attitudes and preferences matter in the relationship between neighborhood walkability and residents being obese? How does commute mode work as a mediator? To answer these questions, based on the 2019 travel survey data in Guangzhou, this paper uses the Multilevel Linear Model (MLM) to examine the association between neighborhood walkability and residents’ body mass index (BMI). Furthermore, the Mediation Model is used to identify the mediating role of commute mode in the relationship between walkability and BMI. The results show that (1) travel attitudes and preferences do affect the individual’s BMI through the mediator of commute mode. (2) After controlling the individual socio-demographics and travel attitudes and preferences, neighborhood walkability has a significant negative effect on BMI. Meanwhile, walkability has a significant positive effect on the use of non-private motorized commute modes. Non-private motorized commute modes have a significant negative effect on BMI. (3) The mediating effect of commute mode in the relationship of neighborhood walkability with the individual’s BMI is significant. The proportion of mediation is 32.90%. Insights into the relationship between neighborhood walkability, commute mode, and individual BMI highlight the importance of walkable neighborhoods that encourage people to use healthy commute modes.","PeriodicalId":47271,"journal":{"name":"Journal of Transport and Land Use","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42797489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Accompanying the rapid urban expansion and fast population growth is a progressive trend of residential relocation in developing countries, which necessitates a thorough understanding of households’ relocation decisions. Previous studies generally treated home relocation as an individual or unitary household decision, ignoring the interactive and collaborative decision-making mechanisms that household members may adopt when making group decisions. In view of this research gap, this study examines the feasibility of applying the egalitarian bargaining approach to simulating households’ group decisions concerning residential relocation and further compares its performance with the Nash bargaining and the conventional utilitarian approach. Moreover, the study experiments with the possibility of accommodating three possible group decision-making mechanisms using the latent class modeling framework. The proposed modeling approaches are applied to an empirical case study in Beijing. Results show that models based on the egalitarian and Nash bargaining principles have better model fits than the utilitarian principle, suggesting the importance of considering egalitarianism when modeling household members’ collaborative choice on residential relocation. Moreover, the model based on Nash bargaining has the best model fit, indicating that instead of merely seeking egalitarianism or utilitarianism, household members are more likely to strike a balance between fairness and efficiency.
{"title":"Modeling household relocation choice: An egalitarian bargaining approach and a comparative study","authors":"Mingzhu Yao, Donggen Wang","doi":"10.5198/jtlu.2021.1733","DOIUrl":"https://doi.org/10.5198/jtlu.2021.1733","url":null,"abstract":"Accompanying the rapid urban expansion and fast population growth is a progressive trend of residential relocation in developing countries, which necessitates a thorough understanding of households’ relocation decisions. Previous studies generally treated home relocation as an individual or unitary household decision, ignoring the interactive and collaborative decision-making mechanisms that household members may adopt when making group decisions. In view of this research gap, this study examines the feasibility of applying the egalitarian bargaining approach to simulating households’ group decisions concerning residential relocation and further compares its performance with the Nash bargaining and the conventional utilitarian approach. Moreover, the study experiments with the possibility of accommodating three possible group decision-making mechanisms using the latent class modeling framework. The proposed modeling approaches are applied to an empirical case study in Beijing. Results show that models based on the egalitarian and Nash bargaining principles have better model fits than the utilitarian principle, suggesting the importance of considering egalitarianism when modeling household members’ collaborative choice on residential relocation. Moreover, the model based on Nash bargaining has the best model fit, indicating that instead of merely seeking egalitarianism or utilitarianism, household members are more likely to strike a balance between fairness and efficiency.","PeriodicalId":47271,"journal":{"name":"Journal of Transport and Land Use","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46288004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The infrastructure for parking and parked cars themselves (e.g., parked cars blocking bike lanes and sidewalks or the visibility range) can lead to conflicts for pedestrians and cyclists. The perception of conflicts could discourage walking and cycling in neighborhoods and undermine municipalities’ efforts to provide more sustainable urban mobility. The aim of this study was therefore to analyze the effect of on-street car parking in urban neighborhoods on perceived parking and traffic-related conflicts. In addition, it examines in what way the intention to reduce one’s car use influences the perception of the conflicts (Stage Model of Self-Regulated Behavior Change (SSBC)). A household survey was conducted in the inner-city neighborhood of Frankfurt-Bornheim, Germany (N=1027). The residents most often observed the conflicts in which parked cars impeded walking and cycling as well as situations in which pedestrians felt threatened by cyclists biking on the sidewalk. Results from multiple linear regression models revealed that the influencing factors for the perception of conflicts were the use of different means of transportation and the intention to change one’s behavior (SSBC model) to reduce car use rather than car ownership. In addition, a resident’s age and household structure seemed to affect awareness of conflicts in which pedestrians and cyclists were involved. The results suggest a group-serving bias, meaning that the residents mostly observed those conflicts that they did not cause. A separate infrastructure for pedestrians and cyclists could help prevent most of the conflicts described in this study.
{"title":"Parking and competition for space in urban neighborhoods: Residents’ perceptions of traffic and parking-related conflicts","authors":"F. Kirschner","doi":"10.5198/JTLU.2021.1870","DOIUrl":"https://doi.org/10.5198/JTLU.2021.1870","url":null,"abstract":"The infrastructure for parking and parked cars themselves (e.g., parked cars blocking bike lanes and sidewalks or the visibility range) can lead to conflicts for pedestrians and cyclists. The perception of conflicts could discourage walking and cycling in neighborhoods and undermine municipalities’ efforts to provide more sustainable urban mobility. The aim of this study was therefore to analyze the effect of on-street car parking in urban neighborhoods on perceived parking and traffic-related conflicts. In addition, it examines in what way the intention to reduce one’s car use influences the perception of the conflicts (Stage Model of Self-Regulated Behavior Change (SSBC)). A household survey was conducted in the inner-city neighborhood of Frankfurt-Bornheim, Germany (N=1027). The residents most often observed the conflicts in which parked cars impeded walking and cycling as well as situations in which pedestrians felt threatened by cyclists biking on the sidewalk. Results from multiple linear regression models revealed that the influencing factors for the perception of conflicts were the use of different means of transportation and the intention to change one’s behavior (SSBC model) to reduce car use rather than car ownership. In addition, a resident’s age and household structure seemed to affect awareness of conflicts in which pedestrians and cyclists were involved. The results suggest a group-serving bias, meaning that the residents mostly observed those conflicts that they did not cause. A separate infrastructure for pedestrians and cyclists could help prevent most of the conflicts described in this study.","PeriodicalId":47271,"journal":{"name":"Journal of Transport and Land Use","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2021-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43379622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wenbin Tang, Qingbin Cui, Feilian Zhang, Hongyan Yan
Accurate evaluation of land value-added benefit brought by urban rail transit (URT) is critical for project investment decision making and value capture strategy development. Early studies have focused on the value impact strength under the assumption of the same impact range for all stations. However, the value impact range at different stations may vary owing to different accessibilities. Therefore, the present study releases this assumption and incorporates the changed impact range into the land value-added analysis. It presents a method to determine the range of land value-added impact and sample selection using the generalized transportation cost model, then spatial econometric models are further developed to estimate the impact strength. On the basis of these models, the entire value-added benefit brought by URT is evaluated. A case study of the Changsha Metro Line 2 in China is discussed to demonstrate the procedure, model, and analysis of spatial impact. The empirical analysis shows a dumbbell-shaped impact on the land value-added benefit along the transit line with a distance-dependent pattern at each station. In addition, the land value-added benefit from Changsha Metro Line 2 reached 12.099 billion USD. Lastly, two main value-added benefit capture modes are discussed, namely, land integration development and special land tax.
{"title":"Evaluation of the land value-added benefit brought by urban rail transit: The case in Changsha, China","authors":"Wenbin Tang, Qingbin Cui, Feilian Zhang, Hongyan Yan","doi":"10.5198/JTLU.2021.1645","DOIUrl":"https://doi.org/10.5198/JTLU.2021.1645","url":null,"abstract":"Accurate evaluation of land value-added benefit brought by urban rail transit (URT) is critical for project investment decision making and value capture strategy development. Early studies have focused on the value impact strength under the assumption of the same impact range for all stations. However, the value impact range at different stations may vary owing to different accessibilities. Therefore, the present study releases this assumption and incorporates the changed impact range into the land value-added analysis. It presents a method to determine the range of land value-added impact and sample selection using the generalized transportation cost model, then spatial econometric models are further developed to estimate the impact strength. On the basis of these models, the entire value-added benefit brought by URT is evaluated. A case study of the Changsha Metro Line 2 in China is discussed to demonstrate the procedure, model, and analysis of spatial impact. The empirical analysis shows a dumbbell-shaped impact on the land value-added benefit along the transit line with a distance-dependent pattern at each station. In addition, the land value-added benefit from Changsha Metro Line 2 reached 12.099 billion USD. Lastly, two main value-added benefit capture modes are discussed, namely, land integration development and special land tax.","PeriodicalId":47271,"journal":{"name":"Journal of Transport and Land Use","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2021-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49398625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Urban land expansion (ULE) is a crucial factor for socioeconomic and environmentally sustainable development. However, nowadays, the unprecedented scale of high-speed railway (HSR) construction in China could exert an important influence on ULE. This manuscript first reveals the influence mechanism of HSR on ULE and then employs difference-in-difference (DID) models to investigate this effect based on the data of 280 prefectures and above level cities of 2001-2016. We analyze that HSR exerts a joint effect on ULE from the territorial and local levels and then affects urban land-use intensity (ULUI). HSR opening and HSR station distance both have notably positive effects on ULE, with elastic coefficients of 4.1% and 0.5%, respectively. HSR opening and HSR station distance also both exert positive effects on ULE of the central, eastern region cities and large cities of China, while for the western region and small to medium cities, they are not significant. The impact of HSR station distance on ULUI is negative with a significance level of 0.073, while the impact of HSR opening on ULUI is not significant. Lastly, relevant policy implications are proposed to alleviate urban land waste and spatial disequilibrium under the context of HSR building. This study can provide an important basis for sustainable urban land allocation.
{"title":"Impacts of high-speed rail development on urban land expansion and utilization intensity in China","authors":"Xin Li, Xiaodong Ma","doi":"10.5198/JTLU.2021.1804","DOIUrl":"https://doi.org/10.5198/JTLU.2021.1804","url":null,"abstract":"Urban land expansion (ULE) is a crucial factor for socioeconomic and environmentally sustainable development. However, nowadays, the unprecedented scale of high-speed railway (HSR) construction in China could exert an important influence on ULE. This manuscript first reveals the influence mechanism of HSR on ULE and then employs difference-in-difference (DID) models to investigate this effect based on the data of 280 prefectures and above level cities of 2001-2016. We analyze that HSR exerts a joint effect on ULE from the territorial and local levels and then affects urban land-use intensity (ULUI). HSR opening and HSR station distance both have notably positive effects on ULE, with elastic coefficients of 4.1% and 0.5%, respectively. HSR opening and HSR station distance also both exert positive effects on ULE of the central, eastern region cities and large cities of China, while for the western region and small to medium cities, they are not significant. The impact of HSR station distance on ULUI is negative with a significance level of 0.073, while the impact of HSR opening on ULUI is not significant. Lastly, relevant policy implications are proposed to alleviate urban land waste and spatial disequilibrium under the context of HSR building. This study can provide an important basis for sustainable urban land allocation.","PeriodicalId":47271,"journal":{"name":"Journal of Transport and Land Use","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2021-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48969647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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